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End of Project End of Project End of Project End of Project Evaluation Enhance Evaluation Enhance Evaluation Enhance Evaluation Enhance Resilience Karamoja Resilience Karamoja Resilience Karamoja Resilience Karamoja Program Program Program Program December 2016 Report Mother and child, Kotido, Karamoja, Uganda 2016. GHL photograph by Frank Kyegombe

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End of ProjectEnd of ProjectEnd of ProjectEnd of Project

Evaluation Enhance Evaluation Enhance Evaluation Enhance Evaluation Enhance

Resilience Karamoja Resilience Karamoja Resilience Karamoja Resilience Karamoja

Program Program Program Program

December 2016 Report

Mother and child, Kotido, Karamoja, Uganda 2016. GHL photograph by Frank Kyegombe

Report Presented by

Global Health Liaisons, LLC

2009 Lansdowne Way

Silver Spring, MD 20910

1-301-920-7818

www.ghliaisons.com

Evaluators

Christina Blanchard-Horan, PhD

Jasmine Fledderjohann, PhD

Wamuyu Maina, PhD

Denis Bwesigye, PhD

Flavia Miiro, MPH

Photographs by Frank Kyegombe

Karamoja, Uganda 2016

Commissioned by UNICEF Evaluation Timeframe November 2013- March 2016

ACKNOWLEDGEMENTS

This report was made possible thanks to the significant time, effort, and contributions of many people,

both inside and outside UNICEF. The evaluation team would like to recognize individuals who made this

evaluation possible. We would like to acknowledge Abiud Omwega, UNICEF Nutrition Manager, Deputy

Country Representative Noreen Prendiville, and Brenda Kaijuka Muwaga, who worked tirelessly to move

the evaluation forward. We would also like to thank, UNICEF Reports Specialist Kutloano Leshomo, Nelly

Birungi, Fatoumatta Sabally, Juliet Ssekandi and Alex Mokori for their inputs and guidance.

Thanks also to Siti Halati, Programme Policy Officer and Head of Nutrition at the World Food Programme,

and Dr. Priscilla Ravonimanantsoa, Nutrition Officer at the World Health Organization. We would also like

to express our appreciation to of the Ministry of Health Director of Food & Nutrition and the National SUN

Technical Focal Point. WYG consultant Maria Kwesiga and Alison Gardner, international nutrition

consultant nutrition leading the WFP Nutrition Program Evaluation.

The Implementing Partners (IPs) were also critical to this assessment, these included at CUAMM. They

provided tremendous input, cooperation, and collaboration during the evaluation process. UNICEF

Enhanced Resilience Karamoja Programme (ERKP) implementing partners, agencies, and organizations

including Action contre la Faim; AVSI/SCORE; Baylor Uganda; Community Connector; Concern

International; Feed the Children; GIZ/United Nations High Commissioner for Refugees; Initiative to End

Child Malnutrition; International Baby Food Action Network; Mildmay Centre; Mwanamugimu Nutrition

Unit of Mulago Hospital; Northern Uganda Health Integration to Enhance Services; Nutrition Innovation

Lab; Reach Out Mbuya; USAID/Resiliency through Wealth Agriculture and Nutrition.

We would also like to recognize other partners working with ERKP UNICEF in Uganda. The AIDS Control

Programme, Health Promotion and Education Department, National Medical Stores Planning Department,

Reproductive Health Department, and the Resource Centre; Office of the Prime Minister along with

ministries, departments, and agencies, including the Ministry of Agriculture, Animal Industry and

Fisheries; the Ministry of Finance, Planning and Economic Development; the Ministry of Education and

Sports; the Ministry of Gender, Labour, and Social Development; and the Uganda Bureau of Standards,

Academic institutions, e.g. Gulu University, Kyambogo University, and Makerere University.

The evaluation team included Dr Christina Blanchard-Horan, Team Lead; Dr Jasmine Fledderjohann,

Health Analyst, and Dr Gakenia Wamuyu Maina, Nutritionist Specialist, Joseph Okuda, community Liaison,

Francis Somerwell, Data Specialist, and Aristhide Nobanza, Junior Analyst. We would like to acknowledge

Harnessing Indigenous Potentials in Africa (HIPo Africa), Data Manager, Flavia Miiro and her team for their

knowledge sharing team spirit, and professionalism with data collection.

A special thanks to the Ministry of Health (MOH) officials from the Nutrition Unit, all district level officials,

and District Health Officers, who provided their inputs. Of course, the evaluation would not have been

possible without the inputs of all participants in this study, including the community health and facility

workers, caregivers, and beneficiaries. Thank you all for your time and valuable insights. We are especially

thankful to you for taking the time from the important work you do to respond to our questions. Your

contributions ensure a more robust evaluation.

TABLE OF CONTENTSTABLE OF CONTENTSTABLE OF CONTENTSTABLE OF CONTENTS Acknowledgements ............................................................................................................... 3

Executive Summary ............................................................................................................... 7

Main findings .................................................................................................................................8

Lesson learnt ............................................................................................................................... 11

Main conclusions ......................................................................................................................... 11

Overview of Recommendations .................................................................................................... 13

Chapter 1 Introduction and Context ............................................................................... 14

1.1 Scope ..................................................................................................................................... 16

1.2 Rationale ............................................................................................................................... 16

1.3 Audience ................................................................................................................................ 17

1.4 Themes .................................................................................................................................. 17

Chapter 2 Methodology ....................................................................................................... 18

2.1 Data collection ....................................................................................................................... 18

2.2 Sampling ................................................................................................................................ 18

2.3 Analysis.................................................................................................................................. 19

2.4 Limitations ............................................................................................................................. 20

2.5 UNEG norms and standards .................................................................................................... 21

Chapter 3 Results .............................................................................................................. 23

3.1 Overall relevance and appropriateness ................................................................................... 23

3.2 Aligned .................................................................................................................................. 25

3.3 Comprehensive ...................................................................................................................... 26

3.4 Appropriate for cultural context ............................................................................................. 26

3.5 Equity .................................................................................................................................... 28

3.6 Effective ................................................................................................................................. 29

3.7 Efficiency & VfM ..................................................................................................................... 50

3.8 Sustainability ......................................................................................................................... 54

Chapter 4 Lessons Learnt .................................................................................................... 56

Chapter 5 Recommendations ............................................................................................ 57

5.1 Relevance and appropriate ..................................................................................................... 57

5.2 Effectiveness .......................................................................................................................... 57

5.3 Efficiency ............................................................................................................................... 58

5.4 Sustainability ......................................................................................................................... 59

5.5 Equity .................................................................................................................................... 59

Conclusions ......................................................................................................................... 60

Appendix I, Supplementary Tables .......................................................................................... i

Appendix II, List of those Interviewed and sites visited .......................................................... iii

Appendix III, Karamoja NGO Mapping ................................................................................... v

Appendix VI, Inferential Statistics & Tables ............................................................................ v

Appendix IV, Evaluators Bio data and/or justification of team composition ............................ x

Appendix V, Terms Of Reference ........................................................................................... xi

Appendix VI, Inception Report .............................................................................................. xi

Appendix VII, List of documents consulted ............................................................................ xi

Appendix VIII, Results Framework, Informed consent, & Instruments .................................... xi

Appendix IX, Informed consents ............................................................................................ xi

Appendix X, Data collection instruments, with details about their reliability and validity ....... xi

Appendix XI, Raw data analysis files .....................................................................................xii

Table of Tables TABLE 1. KARAMOJONG FOOD CULTURE ADEQUATELY CONSIDERED WHEN PROVIDING COUNSELLING 27 TABLE 2, VHT RESPONSES TO ‘WHAT INDICATES KEY SIGNS FOR OTC REFERRAL’ 34 TABLE 3, IYCF MESSAGES GIVEN BY VHTS IN THE PROGRAMME 36 TABLE 4, REPORTED OTC/ITCS JOINTLY SUPERVISED 49 TABLE 5, OVERALL PROGRAMME ALLOCATION 51 TABLE 6, REGIONAL INDICATORS FOR SUPPLY MANAGEMENT (FROM THIRD TO FIFTH REPORT) 52 TABLE 7, PERCEPTIONS ABOUT GOVERNMENT'S LEVEL OF OWNERSHIP/INVOLVEMENT 55 TABLE 8, OVERALL FINDINGS AND CONCLUSIONS 61 TABLE 9, RESPONDENT CHARACTERISTICS I TABLE 10, CHARACTERISTICS OF SAMPLED FACILITY AND COMMUNITY LEVEL IMPLEMENTERS AS WELL AS BENEFICIARIES II TABLE 11, ASSOCIATION BETWEEN DISTRICT AND COORDINATION, FUNCTIONALITY AND REACH VI TABLE 12 ASSESSMENT & SCREENING, EDUCATION AND REFERRALS, IMAM, AND RECORD KEEPING VII TABLE 13, CURE, DEATH, AND DEFAULT RATE BY MONTH, OTC/ITC DATA IX

Table of Figures FIGURE 1. KARAMOJA SHOCKS AND STRESSES BY DISTRICT (FSN, 2014) 15 FIGURE 2. PERCENTAGE OF HEALTH FACILITIES SAMPLED BY LIVELIHOOD ZONE 19 FIGURE 3. UNICEF FOUR FOCUS AREAS 23 FIGURE 4. A THEORY OF CHANGE MODEL FOR IMPROVED ACCESS FOR MOTHERS AND CHILDREN TO HIGH-IMPACT NUTRITION

INTERVENTIONS 24 FIGURE 5. PERCEIVED COVERAGE BY GENDER AND TARGET POPULATION 28 FIGURE 6. GAM IN KARAMOJA – UNICEF PROVIDED - SOURCE WHO 30 FIGURE 7. SOUTH KARAMOJA SAM – SOURCE CUAMM 30 FIGURE 8. NORTH KARAMOJA SAM – SOURCE CUAMM 31 FIGURE 9, PROGRAMME PERCEIVED TO OFFER BEST SOLUTION 32 FIGURE 10. COMPARISON BETWEEN IYCF COUNSELLING OBSERVED AT FACILITIES, CSP SAID PROVIDED, CAREGIVERS SAID RECEIVED 33 FIGURE 11 CAREGIVER REFERRALS BY TYPE - PRIMARY DATA 2016 34 FIGURE 12. CHILDREN RECEIVING SECOND VITAMIN-A DOSE BY DISTRICT 36 FIGURE 13. CHART OF SAM ANNUAL CASELOAD VS ADMISSIONS IN KARAMOJA 2009–2016 38 FIGURE 14. MEAN CURE, DEATH AND DEFAULT RATES 39 FIGURE 15. MEAN NON-RESPONSE RATE OTC/ITC DATA JAN 2013-SEPT 2016 41 FIGURE 16. COORDINATION BETWEEN PROGRAMME IMPLEMENTATION LEVELS 42 FIGURE 17. UNICEF ERKP PARTNER LINKAGES BETWEEN VARIOUS STAKEHOLDERS 43 FIGURE 18, MAP OF NUTRITION PROGRAMS INTERVIEWED IN THE DISTRICTS OF KARAMOJA BY SUB-REGION 48 FIGURE 20, VALUE FOR MONEY FRAMEWORK, 50 FIGURE 21, FACILITY-REPORTED CHALLENGES IN SUPPLYING RUTF TO CAREGIVERS 52 FIGURE 22, AVERAGE STOCKOUTS IN MOROTO BY QUARTER Q2–Q4 2015 53 FIGURE 23, VHT SUPERVISIONS IN MOROTO - Q2 2013–Q4 2015 54 FIGURE 24, DOCUMENT TIMELINE 2000-2016 IV

Table of Photographs PHOTO 1, MOTHER AND CHILD, KOTIDO, KARAMOJA, UGANDA 2016. GHL PHOTOGRAPH BY FRANK KYEGOMBE ................................ 1 PHOTO 2, CHILDREN OF MOROTO, KARAMOJA REGION, UGANDA 2016 ..................................................................................... 17 PHOTO 3, STAKEHOLDER MEETING ATTENDEES, SEPTEMBER 2016 ............................................................................................. 18 PHOTO 4, CHILD OF KARAMOJA, MOROTO 2016 ................................................................................................................... 22

Acronyms CAF Confédération Africaine de Footbal

CSP Community service provider (including VHTs, CHEWs, and members of

mother support groups)

CUAMM Collegio Universitario Aspiranti Medici Missionari

DFID Department for International Development (UK)

DDMC District Disaster Management Committees

DNCC District Nutrition Coordination Committee

DHO District Health Officer

DHT District Health Team

DRMS Disaster risk monitoring system

DRR Disaster Risk Reduction

ERKP Enhanced Resilience Karamoja Programme

FAO Food and Agricultural Organization

FHD Family Health Day

FSNA Food Security and Nutrition Assessment

GAM Global Acute Malnutrition

HC Health Centre

HH Household

HMIS Health Management Information System

ICCM Integrated Community Case Management

IIRR International Institute of Rural Reconstruction

IMAM Integrated Management of Acute Malnutrition

ITC Inpatient Therapeutic Centre

IYCF Infant and Young Child Feeding

LQAS Lot Quality Assurance Sampling

MOH Ministry of Health

OPM Office of the Prime Minister

OTC

PDRA

Outpatient Therapeutic Centre

Participatory disaster risk assessments

RCA Resilience Context Analysis

REACH Renewed Efforts to End Child Hunger

RUTF Ready to Use Therapeutic Food

SAM Severe Acute Malnutrition

SFP Supplementary Feeding Programme

SLEAC Simplified Lot Quality Assurance Sampling Evaluation of Access and

Coverage

SQUEAC Semi-Quantitative Evaluation of Access and Coverage

TFP Therapeutic Feeding Programme

ToT Training of Trainers

UBOS Uganda Bureau of Statistics

UDHS Uganda Demographic and Health Survey

UNAP Uganda Nutrition Action Plan

VHT Village Health Team

WASH Water and Sanitation Hygiene

WFP World Food Programme

UNICEF ERKP End of Project Evaluation Report, December 2016

7 | P a g e o f 6 4

Executive Summary The Uganda Demographic and Health Survey (UDHS), 2011 revealed that the Karamoja region had the

highest rates of child stunting (45%), Severe Acute Malnutrition (SAM) (2.6%) and Global Acute Malnutrition

(GAM) (7.1%) in the country. The July 2016 Food Security and Nutrition Assessment (FSNA) indicated that

the prevalence of chronic undernutrition (stunting) was 23% and that of underweight was 17.1% in

Karamoja. An FSNA conducted in Karamoja in 2015 showed that GAM rates were at their highest since

2010. Similarly, the 2015 Department for International Development (DFID) formative assessment showed

that under-five mortality in Uganda was highest in Karamoja (153 deaths per 1,000 live births) with an

estimated 3.5% of children under the age of five suffering from severe acute malnutrition (estimated total

of up to 22,000 cases annually).

In a bid to reduce vulnerability and build resilience to cope with the effects of climate change and levels of

acute malnutrition, the DFID supported the Enhanced Resilience Karamoja Programme (ERKP) in 2013. The

programme started in October 2013 with an allocation of £38,500,000 in programme funds over three

years. It was collaboratively implemented by UNICEF, Food and Agricultural Organisation (FAO) and World

Food Programme (WFP) from November 2013 to date. The ERKP approach worked within the context of

the transitional period and worked to move from emergency support to development of programming.

• Access to high impact nutrition services – Scaling-up nutrition programmes targeting malnourished

children under five, pregnant and lactating women, by providing essential nutrition supplies and

strengthening the institutions and processes to manage the distribution of this food.

• Food and livelihoods security - Supporting food security and livelihoods for vulnerable households

through public works and livelihood development programmes, by focusing on asset creation and providing

of food / cash transfers through public works programmes.

• Early warning systems – Building and improving early warning and response systems, by developing

more effective early warning and response systems, and providing animal disease surveillance and

veterinary services.

• Development coordination – developing contingency plans with local governments and

strengthening staff capacity to understand and respond to emergencies.

• Evidence and learning – understanding what works best in the challenge of building resilience.

The Food and Nutrition Security Conceptual Framework indicates that livelihood strategies, including

improved household access to food, social and access to healthcare and improved health environment

would impact individual food intake and health status.

The UNICEF component of the ERKP strategy for reducing prevalence of GAM and SAM fell into four broad

categories: 1) improving high-impact nutrition interventions and food supplementation and managing

acute malnutrition - 2) improving advocacy, coordination and partner interaction; 3) increasing knowledge

and understanding and securing timely and quality information; 4) strengthening contingency planning and

emergency preparedness.

An end-term evaluation of the UNICEF-supported components of the broader ERKP was conducted with a

goal of understanding the effectiveness and impact of UNICEF’s work for the period November 2013 to

UNICEF ERKP End of Project Evaluation Report, December 2016

8 | P a g e o f 6 4

December 2015 to guide future programming. The investigation was expanded to March 2016, due to

timing of the evaluation in the 4th quarter of 2016.

The evaluation objectives were as follows:

1. Assess programme relevance, appropriateness and efficiency and quality of services.

2. Assess programme effectiveness, sustainability and equity.

3. Document evidence-based lessons, good practices and recommendations.

The audience for this evaluation is UNICEF, Department for International Development (UK)

(DFID) and ERKP representatives. To forge future collaboration and efforts, the evaluation will inform ERKP

stakeholders, which include sister UN organisations (World Health Organisation (WHO), WFP, FAO) and

other iNGOs providing nutrition services in Karamoja.

Evaluation Evaluation Evaluation Evaluation mmmmethodologyethodologyethodologyethodology

A cross-sectional study was conducted between 26th September 2016 and 30th October 2016 within the

seven districts of the Karamoja sub-region, namely the Abim, Kaabong, Kotido, Moroto, Nakapiripirit, Napak

and Amudat districts. UNICEF-supported health facilities in each district were selected from purposive

clusters comprising of each of the livelihood zones. Both quantitative (semi-structured interviews and data

abstraction) and qualitative (desk reviews, key informant interviews, focus group discussions, unobtrusive

activity observations and stakeholder mapping) primary data were collected at the national, district and

community levels. In addition, value for money (VfM) was assessed by examining the efficiency and efficacy

(cost) of the Ready to Use Therapeutic Food (RUTF) intervention and the training.

A descriptive analysis was conducted to assess changes in the district-level nutritional outcomes. Inferential

models were fit as fixed effects models to adjust for the autocorrelation of measures within

facilities/districts across time. Multi-Criteria Analysis (MCA) and Cost–Benefit Analysis (CBA) were explored

to demonstrate which interventions have the highest VfM. Quantitative results were presented graphically

in tables, figures and charts. Methodological triangulation of the qualitative and quantitative data was

conducted to enhance the understanding of the ERKP nutrition components.

Main findings Successful outcomes for increased resilience of targeted communities to climate extremes and weather

events were measured in terms of stabilisation in prevalence of GAM and SAM for children 6–59 months

of age in Karamoja.1 GAM was stabilised at an average of 12.45% since the programme started in December

2013, with a range of 11–14%. SAM in May 2016 was reported at 3.8% (95% CI), with a range between 3.2%

and 4.5%. Stunting was reported at 39.5% (37.9–41.2), and underweight was reported at 31.0% (95% CI),

with a range of 29.4% to 32.6%.

Assess programme relevance, appropriateness and efficiency and quality of services

AppropriatenessAppropriatenessAppropriatenessAppropriateness - UNICEF ERKP provided an appropriate people-centred humanitarian response to build

nutrition resilience. The response involved coordination and collaboration, assessment, design and

response, performance transparency and learning. UNICEF ERKP strengthened Implementing Partner (IP)

engagement at the national level. The package of integrated antenatal and early care interventions planned

for healthcare facilities and workers fit the need identified in supporting research to improve access to

1 UNICEF Uganda, 2015 log frame

UNICEF ERKP End of Project Evaluation Report, December 2016

9 | P a g e o f 6 4

high-impact nutrition. Coordination and knowledge-sharing strategies and interventions were built on

appropriate research for a nutrition resilience agenda. Intersectoral partnerships with WFP, WHO and other

nutrition programme implementers (see mapping exercise) were appropriately designed to respond to

resilience in Karamoja. In contrast, the link between Food for Agricultural Organization (FAO) and UNICEF

was found to be in need of strengthening. Furthermore, stakeholders felt the role of the Office of the Prime

Minister (OPM) was unclear and that UNICEF should be playing a greater coordination role. Stakeholders

also felt there was a need to develop an understanding and address government limitations managing

Karamoja programmes.

Relevance Relevance Relevance Relevance ---- In implementing the UNICEF ERKP nutrition programme, UNICEF had strategic and competitive

advantages, particularly its capacity to support governance institutions. At the national level, UNICEF ERKP

made relevant contributions to mainstreaming a resilience agenda, influenced policy and developed

partnership with Government of Uganda (GoU) in several sectors to implement the nutrition programme

to build resilience at the district, facility and community levels.

QualityQualityQualityQuality ---- Achievements in advocacy, partnerships for strategic planning, knowledge sharing, Integrated

Management of Acute Malnutrition (IMAM) nutrition integration and community outreach were

convincing. The cure rates and default rates of IMAM programme performance measures were improved

over the period of the evaluation, suggesting IMAM training has been impactful. National stakeholders

were engaged and policy evolved to support an agenda of developing resilience. However, UNICEF linkages

with livelihood programmes were weak. Importantly, we found an association between the cure rate and

percentage of facility staff reporting that their facility offered referrals to livelihood programmes.

Efficiency & Value for MoneyEfficiency & Value for MoneyEfficiency & Value for MoneyEfficiency & Value for Money ---- In general, the budget was implemented as planned. Operational

efficiency in terms of time and resources varied between activities. Efforts to share knowledge and

influence policy agendas were based on evidence from research in Karamoja. Challenges related to the

implementation of some activities, such as the rollout of Village Health Team (VHT) training, may have

affected operational efficiency.

Assess Assess Assess Assess programme programme programme programme effectiveness, sustainability and equity.effectiveness, sustainability and equity.effectiveness, sustainability and equity.effectiveness, sustainability and equity.

EffectiveEffectiveEffectiveEffectivenessnessnessness ---- At the national and regional levels, UNICEF ERKP leveraged existing institutional and

government systems towards nutrition-related objectives. At the local level, there was demonstrated

improvement in service performance outcomes. UNICEF and partner contributions towards capacity

development were sufficient to affect performance and community engagement.

Improved access - There were increases in the number of women exclusively breastfeeding (EBF) in

Karamoja, now at 95%. There were also slight improvements in continued breastfeeding and

complementary feeding. There were associations between caregivers reporting that they had received

messages on maternal nutrition and increased cure rates at the facility; there were also associations

between sites that had reported that they had had IMAM and Infant and Young Child Feeding (IYCF) training

and reduced death rates at those facilities. In fact, facilities staff training was associated with lower death

rates. In particular, training in the IYCF counselling, nutrition assessments and referrals. Furthermore,

Family Health Days (FHDs) contributed to increased levels of iron/folate and Vitamin A, and the percentage

of children 6–59 months receiving two doses was above the national average. By and large, UNICEF

planning, implementation, monitoring and collaboration among nutrition stakeholders targeting lactating

UNICEF ERKP End of Project Evaluation Report, December 2016

10 | P a g e o f 6 4

mothers and children under five years of age was sufficient to improve access for mothers and children to

high-impact nutrition.

Improved coordination - The effort forged strong partnerships with government ministries, influenced

national policy and strategic plans and worked with IPs to integrate nutrition into the various sectors.

District nutritionists with Collegio Universitario Aspiranti Medici Missionari (CUAMM) supported district

officials in the integration of the nutrition programme into the health system. Facilities providing IMAM

services achieved reporting goals. However, not all coordination efforts have moved forward. The National

Food and Nutrition Security Implementation plan had not been validated, nor had the communication

strategy been developed. Action plan coordination at the district level had not yet been achieved. An

agreement with the Centre for Humanitarian Change had been established to conduct and disseminate

operational research in 2017, including a review of the surveillance system.

Increased knowledge – Government and IP capacity development objectives were largely achieved.

Nutrition programme implementers in Karamoja were engaged and responsive to the nutrition resilience

agenda. The IYCF counselling effort implemented by various stakeholders in the region was well known by

caregivers. The average reporting rate for the region was close to 90%. By contrast, less effective was the

effort to assess and report nutrition services at various intersections, e.g. Health Management Information

System (HMIS) and supply management reporting. The annual report FSNA 2014 was completed and

disseminated, released by the Ministry of Health (MoH), and the dissemination was evident at the district

and facility levels. The annual report from June 2016 was under development at the time of this evaluation.

Contingency planning – UNICEF coordinated with OPM and IPs to develop, review multi-sectoral, child-

centered nutrition sensitive contingency plans with District Local Government in the region. Facilities that

referred to livelihood programmes had better cure rates. However, progress towards creating a

comprehensive coordinated response plan and the rollout of district team training did not happen in

accordance with the original timeline. These efforts were moving forward at the time of this report. A

nutrition-sensitive social protection model was designed. A contract with the International Institute for

Rural Reconstruction (IIRR) was in place since March 2015 to train district teams in contingency planning,

preparedness and response for nutrition. Contingency plans for all districts were reviewed to ensure they

were nutrition-sensitive. However, the programme had not commenced with district outreach, as was

reported in December 2015. The target rollout to the seven districts was reset for 2017. IIRR was contracted

to explore the link to referring Outpatient Therapeutic Centre (OTC) beneficiaries with supplementary

programmes, such as the Youth Livelihoods Project and other livelihood programmes. These are expected

to improve resilience in the Karamoja region.

Equitable Gender mainstreamed legislation and public policy targeted women and children, which had implications

for both women and men. Programmes focused on the health of children, resulting in fairly distributed

services to male and female children. Policies led to improved cure rates and reduced morbidity among

children under five and lactating women. For example, Vitamin A treatment improved health outcomes of

vulnerable women and their children. Cure rates were also improved for women and children who went to

facilities with trained health workers. However, there was inadequate disaggregated gender data to assess

gender equity. Although there was little in terms of indicator data to determine the successful coverage of

vulnerable populations, in the June 2016 progress report, UNICEF had a plan to support the analysis of

programme data on nutrition interventions and contextual information, with a special focus on equity

analysis.

UNICEF ERKP End of Project Evaluation Report, December 2016

11 | P a g e o f 6 4

Sustainable & resilient There were strong indications of sustainability at the national level, where GoU had signalled their

commitment to nutrition by enacting national plans and policies and working with UNICEF on strategies

towards implementation. Several targets for building sustainability were met. UNICEF successfully

supported changes to policy and national priorities towards improved treatment of women and children,

specifically as this relates to malnutrition. Facility training for better assessment and treatment helped to

build capacity through knowledge about prevention in order for communities to better address nutrition

during lean times. Community interventions that led to improved referral and behavior were also key

factors that contributed to resilience and sustainability, as was demonstrated by the association between

livelihood programmes and cure rates, as previously mentioned. Integrating IMAM into the package of

health services contributed to the sustainability of nutrition practices in the region, and the collaborative

efforts to engage iNGOs and sister UN organisations, such as WFP and WHO, built community capacity to

inform hard-to-reach communities about best practices towards resilience.

Lesson learnt Document evidenceDocument evidenceDocument evidenceDocument evidence----based lessons, good practices and recommendationsbased lessons, good practices and recommendationsbased lessons, good practices and recommendationsbased lessons, good practices and recommendations

Attribution and contribution describe the relationship between an intervention and its outcome. The

UNICEF ERKP was not set up for attribution of results. To establish attribution, strong causal links must be

found between the intervention and the observed outcome. It is clear, however, that the initiative achieved

strong results around strengthening institutions and policies and integration of nutrition services into

existing systems.

EBF increased over time, surpassing the country average. Although they slightly increased over the

programme period, the rates of dietary diversity were very low. Complementary feeding was also low, at a

quarter of the population practicing. Clearly, EBF education has been effective. We postulate that although

mothers understood the importance of complementary feeding, compliance was complicated by the lack

of food availability and resources to obtain proper available foods (Figure 1). While overall SAM rates were

on the decline, rates of SAM in the southern Karamoja districts, Kotido and Abim, were rising (Figures 26–

28).

Unexpected outcomes –––– The number of cases of SAM for under-fives was positively associated with both

the number of supervisions (b=12.4; p<0.01) and the number of VHTs who could correctly count

Respiration Rate (RR) (b=12.7; p<0.05). Thus, the higher the number of supervisions and VHTs able to

correctly count RR, the higher the number of admissions of children under five. Counting RR correctly may

be a proxy indicator for health education level of staff. DHOs in Abim, Nakapiripirit, and Amudat indicated

that women were getting pregnant sooner, since there is ‘assurance of continuous food supply during

pregnancy and breast feeding’.

Main conclusions Conclusions include good practices and recommendations organised in accordance with UNICEF’s four

objectives. A summary of overall targets, achievements and conclusions can be found in Table 8, page 60.

Increase access to Increase access to Increase access to Increase access to highhighhighhigh----impactimpactimpactimpact nutrition interventions for mothers and children.nutrition interventions for mothers and children.nutrition interventions for mothers and children.nutrition interventions for mothers and children.

Achievements in ‘mainstreaming nutrition’ in the health sector were convincing. UNICEF ERKP provided

most treatment services offered in Karamoja and forged strong links with MoH, other UN agencies and

UNICEF ERKP End of Project Evaluation Report, December 2016

12 | P a g e o f 6 4

iNGOs, which combined to make for major contributions to the integration of the IMAM programme into

the mainstream health system to build sustainability. Several targets were met, including improvements in

coverage; VHT members engaged in nutrition screening, referral and follow-up; and the number of twice-

yearly Vitamin A doses for children 6–59 months. The association between admissions and Vitamin A intake

suggested that higher Vitamin A intake was associated with fewer admissions.

There were several factors that suggest improvements in caseload estimations. There was a significant

association between the percentage of caregivers reporting messaging on maternal nutrition and facility

cure rate and the reduction in the difference between estimates and new admissions (Section 3.2.1). The

programme’s social change and behavioural interventions promoted the uptake of recommended

maternal, IYCF and care in the region, as it pertains to EBF, which resulted in an increase in EBF. However,

dietary diversity was only at 5.6% in 2016 and meal frequency did not increase significantly. Minimum Meal

Frequency was declining.

The associations between death rates and training in nutrition assessments, IYCF counselling, referrals and

integrated management of childhood illness and between cure rates and livelihood referrals suggest that

the most critical move that UNICEF Uganda can make for the nutrition programme at this point is to build

the needed processes and procedures to roll out a multi-sectoral programme that incorporates livelihood

programmes with IMAM services. FAO and UNICEF should begin work towards improving connections

between IMAM services and livelihood, and caregivers should become more resilient to shocks. This must

be done while enhancing the existing gains UNICEF has made in VHT and health worker performance. This

would expectedly raise cure rates and lower death and default rates.

UNICEF had plans to support the analysis of programme data on nutrition interventions and contextual

information, with a special focus on equity analysis. Given the dearth of information on equity and gender,

a plan for equity analysis is appropriate to the needs of the programme.

Importantly, negative associations between messaging activities and cure and default rates (e.g. with

maternal nutrition messaging) may reflect the need to scale-up rather than scale-back such activities—

actions such as additional training of health workers in counselling may be required to improve the effect.

Given the lack of improvement in dietary diversity and frequency, a study of causes specific to these IYCF

practices should be implemented. Engaging community and harmonized approach with other stakeholders

is needed to change behaviour around dietary diversity and meal frequency.

IIIImprove coordination and partners’ interaction for mprove coordination and partners’ interaction for mprove coordination and partners’ interaction for mprove coordination and partners’ interaction for nutrition services and capacity to respond to nutrition services and capacity to respond to nutrition services and capacity to respond to nutrition services and capacity to respond to

increase/change in needs.increase/change in needs.increase/change in needs.increase/change in needs.

The various components of the UNICEF ERKP were well linked, from policies and health facilities to health

workers, VHTs and communities. Knowledge sharing around the FSNA was efficient, though there was

evidence of the need for improvement. Interviews indicated that from the community and facility levels to

the district and national levels, the programme was linked with a variety of stakeholders, both within the

ERKP and with other IPs. These partnerships with iNGOs should maximise resources and build capacity by

linking to livelihood activities implemented by other partners, such as FAO.

At the national level, the UNICEF ERKP leveraged their strengths and relationships to build support for

nutrition planning and implementation. UNICEF built strong partnerships with the MoH to improve

UNICEF ERKP End of Project Evaluation Report, December 2016

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nutrition in Karamoja. The initiative influenced policy and generated knowledge for sharing and learning.

However, UNICEF has largely focused on inpatient care, and strengthening knowledge and awareness

around nutrition. Low community engagement has been shown to result in low coverage. The next phase

should involve adequate community components to reach into hard to reach communities. Successful

community approaches involve community in the decision-making process, including allocation of

community resources.

Increase knowledge and understanding of the underlying causes of poor nutrition in mothers and Increase knowledge and understanding of the underlying causes of poor nutrition in mothers and Increase knowledge and understanding of the underlying causes of poor nutrition in mothers and Increase knowledge and understanding of the underlying causes of poor nutrition in mothers and

children in Karamoja and secure timely and quality information on the changing needs for improved children in Karamoja and secure timely and quality information on the changing needs for improved children in Karamoja and secure timely and quality information on the changing needs for improved children in Karamoja and secure timely and quality information on the changing needs for improved

programming.programming.programming.programming.

In the programme design, the SMART study provided the foundation for the UNICEF ERKP response to

barriers and bottlenecks. Strategies to reduce malnutrition considered awareness and access, specific

barriers mentioned in the LQAS Coverage and Access research done on barriers and bottlenecks in 2015.

UNICEF responded with interventions to barriers and bottlenecks that contributed to inequalities, as

indicated in the proposal and progress reports and in findings from interviews with facility staff and

community members. Results from this evaluation suggest that the interventions were appropriate to

achieve the planned results. UNICEF proposed activities be supported through the analysis of programme

data on nutrition interventions, which was done through the MoH. The analysis included a male/female

breakdown, but otherwise, no equity analysis was evident in their outputs.

The target vulnerable group was lactating women and children under five years of age. Geographic

coverage was best provided to hard-to-reach areas/groups through community outreach activities. IYCF

training of VHTs was conducted in partnership with WFP.

Regarding data efficiency, the FSNA requires continued focus and improvement on the part of UNICEF to

provide appropriate data management support and to ensure quality data are used to inform decisions.

Strengthen contingency planning and emergency Strengthen contingency planning and emergency Strengthen contingency planning and emergency Strengthen contingency planning and emergency preparedness for nutrition within Karamoja region.preparedness for nutrition within Karamoja region.preparedness for nutrition within Karamoja region.preparedness for nutrition within Karamoja region.

Although UNICEF ERKP contributed significantly to contingency planning, this was not captured in the log

frame. Furthermore, targets that were reflected in the log frame for 2015 and 2016 were not met. In 2016,

this began to change as plans were going through for the approval and rolling out of district contingency

plans. There were signs that the contingency planning and emergency preparedness were underway in

Karamoja. Discussions with iNGOs revealed that they were actively engaged in disaster preparedness and

IYCF activities, referring potential patients to the IMAM programme.

Overview of Recommendations 1. Improve the UNICEF ERKP log frame and develop theory of change model for future

interventions.

2. Integrate communication at all levels to present common nutrition messages that refines linkages

with all stakeholders and establishes regular communication mechanisms between them, e.g.

Strengthen links between UNICEF, FAO, and iNGOs by designing programmes that engage

stakeholders and community health providers to identify and refer chronic cases.

3. Streamline nutrition information and data analysis with support to build analytic structure.

4. Recognize and study high preforming facilities to identify best practices for duplication.

5. Construct district livelihood and nutrition profiles to help guide targeted interventions that close

the gap between nutrition sensitive and nutrition specific barriers to services.

6. Measure stunting to understand intervention impact, e.g. EBF at >90%, and continually every two

years’ post intervention.

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7. Support DNCC development and ensure joint sustainability plans that clearly highlight

government and community roles, responsibilities, and nutrition budget.

8. Cultivate better coverage with community engagement strategies to serve hard-to-reach

populations, such as those discussed in resilience planning meetings. Consider effective

community-based management of acute malnutrition (CMAM) models that have been effective in

sub-Saharan Africa.

Chapter 1 Introduction and Context

Evidence suggests that drought is becoming increasingly frequent in some parts of Uganda, resulting in

progressive depletion of livelihood assets, human suffering, decreased productivity and reduced access to

learning and health opportunities, particularly for children and women who are forced to struggle for

survival. The frequent occurrence of drought has also become a major contributory factor to worsening

food insecurity, which in turn has increased the vulnerability of people living in areas prone to drought and

inadequate nutrition. Due to drought, the northeastern part of the country faces the highest levels of food

insecurity, due in part to low levels of household (HH) income, which is a consequence of low agricultural

production and the unique climate challenges in the area (six months of dry season and six months of rainy

season). These factors adversely affect food security in the region.

According to the 2011 Uganda Demographic and Health Survey (UDHS), 33% of the children under five

years are chronically malnourished, 5% are acutely malnourished and 14% are underweight. This figure

represents an improvement from 38.1% as reported in the 2006 UDHS. Although the rates of

undernutrition in Uganda have declined, the Karamoja region still has the highest rates of child stunting at

45% (UDHS, 2011), Severe Acute Malnutrition (SAM) (2.6%) and Global Acute Malnutrition (GAM) (7.1%) in

the country. According to a Food Security and Nutrition Assessment (FSNA) conducted in Karamoja in 2015,

GAM rates were at their highest since 2010. Karamoja has been in an emergency state, and rates of SAM

still hover near the Sphere standards of 10%.

As the area moved towards transition out of an emergency state, the Department for International

Development (DFID) supported the Enhanced Resilience Karamoja Programme (ERKP), aimed at ‘closing

the gap’ between short-term humanitarian response efforts and long-term investment for sustainable

development in the region. By increasing communities' resilience to climate extremes and weather events

in Karamoja, ERKP aimed to reduce vulnerability and increase the ability to withstand shocks. This involved

supporting the increase in nutrition services and local capacity to manage and maintain the nutrition

services system.

The DFID resilience report also found that cumulative shocks and stresses had a bearing on HH food

insecurity and malnutrition. Figure 1 shows the various shocks in each district. For example, Amudat faces

poor harvest/drought and issues with diseases and pests, while Kotido faces poor harvest/drought and high

food prices, all of which contribute to food insecurity.

Development and humanitarian frameworks in Karamoja emerged from the UNICEF GoU Programme of

Cooperation 2010–2014, the Uganda Nutrition Action Plan (UNAP) 2011–2016 and DFID’s Scaling Up

Nutrition position paper (Sept 2011). The ERKP aimed to complement and expand on-going initiatives,

accelerate government activities and help partners in the field of nutrition while reinforcing linkages with

efforts in health, water and sanitation and food security. The focus on resilience provided a framework for

DFID to work with development partners and the Government of Uganda (GoU) to support a substantive

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shift away from emergency food relief towards interventions that improve livelihoods in the medium to

long term while protecting the most vulnerable in the short to medium term.

The ERKP programme was collaboratively implemented by UNICEF, Food and Agricultural Organisation

(FAO) and World Food Programme (WFP) from November 2013 to date to build resilience in Karamoja.

UNICEF ERKP coordinated with the WFP to implement the annual Food Nutrition Security Assessment

(FSNA) to increase knowledge of performance and health status in Karamoja. The World Health

Organisation (WHO), UNICEF and WFP worked to develop culturally appropriate Infant and Young Child

Feeding (IYCF) messages for Implementing Partners (IPs) and others to disseminate in Karamoja. WFP and

UNICEF alternately supported the annual Food Security Nutrition Assessment. UNICEF and WFP also

coordinated on community training in proper IYCF guidelines and training.

Figure 1. Karamoja shocks and stresses by district (FSN, 2014)

Contingency planning was organised between FAO, WFP and UNICEF, as well as with numerous other

stakeholders (see Appendix II, Mapping for a list). FAO was to support the establishment of agro-pastoral

field schools for the performance of participatory disaster risk assessments that informed remedial

planning and response for disaster preparedness pertaining to food security and nutrition. FAO and WFP

jointly piloted activities on watershed management as part of a broader roadmap to mainstream disaster

risk management in contingency planning.

UNICEF ERKP Nutrition ProgrammeUNICEF ERKP Nutrition ProgrammeUNICEF ERKP Nutrition ProgrammeUNICEF ERKP Nutrition Programme

UNICEF programmes were to build longer- term resilience and capacity for transformational adaptation

through multi-year and multi-sector joint projects. The UNICEF ERKP nutrition response involved numerous

activities aimed at strengthening capacity and building resilience. The priority areas included addressing

acute under nutrition, child protection, water and sanitation and quality of maternal care. To strengthen

health systems, UNICEF introduced Disaster Risk Reduction (DRR) for children and women as a national and

local priority. They worked with the Ministry of Health (MoH) and IPs to integrate nutrition into the health

benefits package, with a goal of transitioning Integrated Management of Acute Malnutrition (IMAM) from

iNGOs to District Health Officers (DHOs), local NGOs, the MoH and national institutions, such as the

Mwanamugimu Nutrition Unit and Makerere University. UNICEF hired seven nutrition technical assistants

and health technical advisors within District Health Teams (DHTs) at each of the Karamoja districts to build

district capacity. UNICEF, IPs and stakeholders sought to engage communities and expand malnutrition

treatment to all 102 health facilities.

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UNICEF ERKP’s IP was Collegio Universitario Aspiranti Medici Missionari (CUAMM), located in each district.

CUAMM provided technical support, including job supervision, data and supply chain management as well

as other capacity-building activities targeting facilities and communities. They also facilitated quarterly

monitoring visits and monthly technical support supervisions, conducted by nutrition focal persons,

nutritionists and TAs. Technical assistance was also provided to health units to improve forecasting and

submission of supply requests so that commodities were mainstreamed into the National Medical Stores

(NMS) system. CUAMM was also tasked with improving the quality of data reporting for IMAM. This

involved hands-on integrated support supervision for health workers and Village Health Teams (VHTs) on

the collection, compilation and submission of IMAM data to DHOs. Working with the district

biostatisticians, CUAMM worked to consolidate district data and ensure that the registration of nutrition

data on Vitamin A, deworming and iron/folic acid was part of routine Health Management Information

System (HMIS) reporting. They ensured that outpatient, Family Health Day (FHD) and VHT registration and

screening data from mid-upper arm circumference (MUAC) measurements, weight and height were

reported and consolidated at the DHO’s office.

During this time, efforts were made to improve supply chain management, which was to include a review

of the delivery chain and tracking of Ready to Use Therapeutic Food (RUTF) by the district TA. The goal was

to have the commodities mainstreamed into the NMS system.

There are four key ERKP objectives specific to UNICEF:

1. Increase access to high-impact nutrition interventions for mothers and children.

2. Improve coordination and partners’ interaction for nutrition services and capacity to respond to

increases/changes in needs.

3. Increase knowledge and understanding of the underlying causes of poor nutrition in mothers and

children in Karamoja and secure timely and quality information on the changing needs for improved

programming.

4. Strengthen contingency planning and emergency preparedness for nutrition within Karamoja region.

The UNICEF ERKP has evolved over time, and indicators have changed and been added. The 2016 log frame

was changed in 2016 to account for the cost extension of the programme up to March 2017. UNICEF was

negotiating for a no-cost extension at the time of this report.

1.1 Scope Components of the evaluated programme intervention involved UNICEF components of the ERKP

programme and covered the four objectives at UNICEF ERKP for the period November 2013 to December

2015 in the seven districts of Karamoja.

1.2 Rationale This evaluation sought to obtain an unbiased assessment of whether the planned activities with inputs

invested led and/or contributed to the achievement of the expected results, per the Terms of Reference

(TOR) (Appendix V). It focused on programme accountability by learning from the programme and key

aspects that worked (i.e. what worked well; where, why and under what circumstances; etc.). In addition,

it provided a visual guide to nutrition activities in the Karamoja region.

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1.3 Audience It is a mandate of each institution collaborating in the ERKP to ensure that each institution carries out its

own evaluation. In this regard, WFP and FAO had commenced theirs, hence the reason why this evaluation

focuses only on UNICEF-supported components. The audience for this evaluation is UNICEF, DFID and ERKP

representatives. To forge future collaboration and efforts, the evaluation will also inform ERKP

stakeholders, which include sister UN organisations (WHO, WFP, FAO) and other iNGOs providing nutrition

services in Karamoja.

1.4 Themes This end-term evaluation of the UNICEF-supported components of the broader ERKP, specifically the seven

districts of the Karamoja region, was conducted with a goal of understanding the effectiveness and impact

of UNICEF’s work for the period November 2013 to December 2015. The goal was to provide

recommendations for future programmes. To evaluate the overall success of the UNICEF-supported

programme components in the seven districts of the Karamoja region, the evaluation was designed in

accordance with the priority evaluation themes in the TOR. Focus areas, research questions and results

were captured in the evaluation framework, provided in Appendix VIII, Results Framework, Informed

consent, & Instruments.

The themes are as follows:

• Assess programme relevance, appropriateness and efficiency and quality of services

• Assess programme effectiveness, sustainability and equity

• Document evidence-based lessons, good practices and recommendations

Photo 2, Children of Moroto, Karamoja region, Uganda 2016

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Chapter 2 Methodology This is an evaluation of the DFID-supported ERKP. Karamoja is in Northeastern Uganda, and it is

administratively divided into seven districts: Kaabong, Abim, Kotido, Moroto, Amudat, Napak and

Nakapiripirit. The region borders Kenya to the east; South Sudan to the north; the districts of Kitgum, Pader,

Lira/Agago, Amuria and Katakwi to the west; and the districts of Kumi, Sironko and Kapchorwa to the south.

It has an estimated population of 965,008 people. The evaluation approach was extensively discussed in

the Inception Report and summarised here (Appendix VI, Inception Report).

UNICEF TOR provided the overall guidance, with inputs from a stakeholder meeting that guided the

refinement of instruments (Appendix VIII), for the evaluation conducted between July and October 2016.

The framework was rather complex because of the ‘meta’ dimensions of almost 40 research questions and

sub-questions. The main instruments for this evaluation were the evaluation questions framed in the TOR,

located in Appendix V. The evaluation also considered the UNICEF log frame, which provided another frame

of reference and included indicators, baselines, targets, data sources and assumptions. The log frame did

not consistently report indicators, however. Not all national nutrition outcome indicators were

incorporated consistently into log frame tables for progress against DFID ERKP log frame and UNICEF log

frame outcomes. Therefore, evaluation instruments and reporting were categorised in accordance with the

TOR overarching categories, e.g. relevance, appropriateness. The framework instruments are captured in

Appendix VIII, Results Framework, Informed consent, & Instruments, organised in accordance with the

research framework: appropriateness, relevance, efficiency and effectiveness.

2.1 Data collection The research population

encompassed three main

levels: national, district and

community. These included

programme funders and

policymakers; district, facility,

community and international

non-government organisation

(iNGO) implementers; and

beneficiary caregivers. We

conducted 258 semi-

structured interviews with national, regional and local IPs. An additional 20 interviews were conducted with

iNGOs implementing nutrition programmes in Karamoja, during a mapping exercise (Appendix III). Focus

group discussions were held with community and VHT members. Characteristics of those interviewed can

be found in Appendix I (Table 9). A detailed description of the 293 those who were interviewed can be

found in Appendix II.

2.2 Sampling The sampling unit was the health facility, taking into consideration the livelihood zones and UNICEF support

to facilities. The delivery of health services at five levels was considered, namely hospitals, Health Centre

(HC) IV, HC III, HC II and HC I (VHTs). All hospitals and HC IVs (five hospitals and five HC IVs) were purposively

selected as part of the evaluation. In addition, we randomly selected three HC IIIs and three HC IIs based

on livelihood zones, facility location and UNICEF support. In total, 51 health facilities supported by UNICEF

were selected.

Photo 3, Stakeholder meeting attendees, September 2016

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To assess whether the facilities included in our sample differed systematically from facilities not sampled,

we created a flag variable in the Outpatient Therapeutic Centre (OTC) and Inpatient Therapeutic Centre

(ITC) monthly data to indicate whether each facility was part of our sample (see Section 1.7, Limitations).

We found that facilities in our sample had a somewhat higher cure rate (b=5.40; p<0.05) and a lower non-

response rate (b=-2.90; p<0.05) as well as a slightly higher rate of Management of Acute Malnutrition

(MAM) complications (b=0.25; p<0.05). The magnitude of these differences was small, and the coefficients

were only marginally significant. Moreover, the facilities included in our sample did not differ significantly

on other outcomes (e.g. RUTF supplies, total number of new cases). Taken together, these findings suggest

that any sample selection effects were likely to be small.

Counselling observations at 22 facilities demonstrated how IYCF counselling was conducted at every facility.

Observations conducted totalled 22 at various health facilities, hospitals and HC IV, III and II. Triangulation

of their responses with implementers at the facility and community levels validated these findings.

A total of 14 FGDs were held, seven of them were discussions with 63 males and seven MSG discussions

with six males and 54 females. At the health facility level, 22 unobtrusive observations were performed to

assess the process of service delivery, namely IMAM/IYCF screening, counselling and the treatment process

at the OTC level in relation to the recommended standard process of care.

A stakeholder mapping exercise was also conducted, and it involved gathering qualitative data with a select

subset of 20 stakeholders around the following: i) number of NGO personnel directly involved with the

implementation of nutrition-related activities; ii) the donors financially supporting IPs; iii) number and

names of IPs present in each of the seven Karamoja districts; iv) perceptions of IPs’ ability to adequately

address nutrition needs of the target beneficiaries; v) scope of nutrition-related services offered by

stakeholders; vi) annual estimates of people reached by nutrition services and the categories of

beneficiaries reached; and vii) the estimated number of people unable to be reached, in order to assess for

unmet need for nutrition services. These data were captured in detail in the mapping exercise document

found in Appendix III.

2.3 Analysis A descriptive quantitative

analysis was conducted to

assess changes in the

district-level nutritional

outcomes. Results were

presented graphically in

tables, figures and charts.

Two methodologies,

namely Multi-Criteria

Analysis (MCA) and Cost–

Benefit Analysis (CBA),

were explored to

demonstrate which

interventions have the

highest value for money

(VfM). A VfM analysis was

15.70%

13.70%

17.60%

21.60%

7.80%

23.50%

Health facility sampling by Livelihood zones (n=51)

Central and southern

Karamoja pastoral zone

Eastern lowland maize

beans, rice zone

Karamoja Livestock

sorghum, Bulrush millet

zoneNorth East Karamoja

Pastoral zone

North east sorghum, maize,

simsim and livestock

South Kitgum Pader Simsim,

groundnuts, sorghum and

cattle zone

Figure 2. Percentage of health facilities sampled by livelihood zone

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undertaken to assess cost per child and cost per trainee. The qualitative analysis involved crosschecking

primary and secondary data sources for methodological triangulation as well as stakeholder mapping to

increase validity and enhance the understanding of the ERKP nutrition components. It contributed to the

analysis of linkages and gaps between different nutrition programmes operating in the region (Appendix

III, Karamoja NGO Mapping Exercise).

In addition to descriptive statistics on primary data, we conducted a descriptive analysis of secondary data,

focusing mainly on graphing trends in malnutrition over time. We also linked our primary facility and

caregiver datasets to secondary data sources (DHIS2 and OTC/ITC monitoring data) to examine trends at

the facility and district levels. Because multiple respondents in the primary data were sampled from the

same facility, linkage with secondary facility and district data was accomplished by aggregating individual

responses to create mean facility/district scores and then matching datasets on facility/district name. All

inferential models using these data were fit as fixed effects models to adjust for the autocorrelation of

measures within facilities/districts across time.

Lastly, for stakeholder mapping, we examined the ‘supply’ and ‘demand’ side of nutrition programming

while taking stock key programme implementers and exploring the linkages being harnessed to improve

nutritional outcomes among women and children in the Karamoja region (Appendix III). A map of the

districts provides a visual impression of the diverse players engaged in nutrition programming in the

Karamoja region, an implication of stakeholder distribution for equity, access and service coverage.

2.4 Limitations 1. Accurate, rich and consistent data are essential for assessing the efficiency and efficacy of the

programme. Several problems with secondary data revealed data quality issues. The FSNA data

required considerable cleaning in order to construct a cohesive dataset that could be analysed over

time. Over time, new indicators were added to the tracking tools, which became more complex and

difficult to integrate into the findings.

2. First, it was unclear what level of oversight exists in the data entry process; in some Excel spread

sheets for the OTC/ITC monitoring data, we found errors in the formulae for calculating rates (e.g.

cure rate), suggesting inconsistent knowledge of how these rates were calculated and/or inadequacy

of Excel as a tool for data processing and calculations. These possibilities are not mutually exclusive,

and they could be resolved by centralised calculation and verification.

3. Second, some requested data were unavailable (e.g. detailed training records for all districts and

facilities over time) or came in the form of numerous files with limited explanation. For example, we

requested training and programme implementation data. One file for the Integrated Community Case

Management (ICCM) database contained training data for Moroto, but separate files were not

provided for other districts. Within this file, there were columns with the same labels (e.g. ‘Total VHTs’)

but with two different values in identically named columns for the same facility and reporting period.

Moreover, there appeared to be data for overlapping dates that did not match between different tabs.

No explanation for these discrepancies was discernible from the files, making the data difficult to use

and its quality difficult to assess.

4. With higher quality data, we had more confidence that it was correctly reporting results. After cleaning

the data and addressing multiple errors, performance indicators were not as high as they appeared

from these data previously. Data quality assessments were not being regularly conducted to ensure

proper data collection, entry and authenticity.

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5. The most consistently collected data appeared to be the OTC/ITC data. However, as these were

focused on admissions, they were highly selective and unable to directly assess programme effects on

nutrition, because 1) they require caregivers to recognise malnutrition or to be referred, 2) they

require caregivers to have the ability to access the facility and 3) they do not include children who

were not malnourished so that rates of malnutrition could be calculated from these data.

Representative data on rates of malnutrition (e.g. GAM) were collected far less frequently and were

not available at the community or facility levels—a lower level of aggregation (i.e. facility/community

rather than district level) would facilitate comparison within districts across time, thereby allowing

analysis of variation in programme implementation in relationship to variation in health outcomes.

Adequate data were also not collected prior to programme start as a baseline, which was essential for

identifying whether changing trends over time reflected the continuation of a pattern or program-

related change. Nor were data on malnutrition in regions outside of Karamoja available across the

period. Such regions could serve as a rough control group for a quasi-experimental approach.

6. Regarding our sample, it showed some evidence of mild selection effects, including a higher cure rate

among facilities in our sample. Moreover, notably, more than half (58%) of monthly data were missing

on RUTF supplies between facilities, which may also lead to concerns that significant RUTF results

were driven by sample selection. However, a flag variable was created to identify missing cases; this

missing RUTF flag was not a significant predictor of the death or default rates (nor odds of meeting

targets for these rates), suggesting that selection was not a serious concern for the RUTF findings.

7. Staff turnover was recognised, and a plan to address it was identified. However, there were no solid

measures in the log frame to determine the impact of efforts to address staff turnover. The training

and mentoring plans involved job supervision, support for data collection and training. However, there

were few training and counselling records.

8. Data around counselling and education were not in an easily evaluable state. There was no data

dictionary for provided data sets. Names of facilities in the data sets were inconsistent. Data-collection

tools were inconsistent across months, where reports were modified numerous times to include more

indicators. While it is encouraging that UNICEF added more measures, it made for a more complex

and in some cases truncated evaluation response.

9. There was limited reference to Theory of Change (ToC) to support the discussion. The working log

frame was used as the framework, e.g. output indicators, planned results, outputs etc. However, the

framework lacked most assumptions in the causal chain. This was not a part of the TOR.

10. Information about contingency planning for resilience was most clearly articulated in reports that

were provided to consultants during the final phase of the evaluation, in October 2016, when IIRR had

completed development of the nutrition model for resilience and UNICEF provided it to the

consultant. It was also not possible to interview the UNICEF focal person or a FAO representative.

11. Although the TOR specifically stated that the evaluation should review November 2013 to December

2015, data collection began in the fourth quarter of 2016. Therefore, the evaluation necessitated

expansion to encompass more than the two-year time frame indicated in the TOR.

2.5 UNEG norms and standards The final evaluation report was prepared considering the UNICEF-Adapted UNEG Evaluation Report

Standards (July 2010).2 These standards give clear guidance on report structure. Findings were presented

in direct correspondence to the evaluation criteria and questions

2 UNEG Quality Checklist for Evaluation Reports, July 2010

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Photo 4, Child of Karamoja, Moroto 2016

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Chapter 3 Results As shown in Figure 3, the UNICEF ERKP results chapter is structured in accordance with the four focus areas:

1) increased access to high-impact nutrition interventions for mothers and children; 2) improved

coordination and partners’ interaction for nutrition services and capacity to respond to increasing and

changing needs; 3) increased knowledge and understanding of the underlying causes of poor nutrition in

mothers and children in Karamoja and timely and quality information on changing needs for improved

programming; and 4) strengthened contingency planning and emergency preparedness in the Karamoja

region. A summary of targets and achievements are available in Table 8.

Figure 3. UNICEF four focus areas

Assess Assess Assess Assess pppprogramme rogramme rogramme rogramme relevance and appropriateness, efficiency and quality.relevance and appropriateness, efficiency and quality.relevance and appropriateness, efficiency and quality.relevance and appropriateness, efficiency and quality.

3.1 Overall relevance and appropriateness Was the UNICEF ERKP appropriate to achieve planned results?Was the UNICEF ERKP appropriate to achieve planned results?Was the UNICEF ERKP appropriate to achieve planned results?Was the UNICEF ERKP appropriate to achieve planned results?

Programme design

The ERKP is founded in the principles of resilience, which is explained in Resilience to Food Insecurity and

Malnutrition in Karamoja, Uganda (2015). Resilience is defined as sustained well-being over time. A

resilience initiative that addresses shocks and stresses is absorptive, adaptive and transformative; is

measurable at various levels; is understood through mixed methods and objective and subjective measures

(surveys, assessments, evaluations); reveals how risks, responses and resilience interact with and affect

food security and nutrition over time; and identifies policies and programmes to be informed by findings

on how to strengthen resilience.

The UNICEF ERKP programme design was relevant to the resilience agenda. The UNICEF ERKP Nutrition

Programme combined support for governance and policy development through partnership and

coordination to improve resilience. UNICEF efforts aimed to complement and expand previous initiatives

implemented by the Government and IPs in the field of nutrition. To reinforce linkages and multi-sectoral

efforts, UNICEF appropriately designed the programme around core Sphere standards (3.2.1) and founded

around the principles of resilience. UNCIEF used strategies based on the Theory of Change (ToC), although

there is need for further development around the ToC assumptions.

As part of this larger effort to improve resilience in Karamoja, planned results were captured in log frames

based on a ToC framework for reporting to DFID. In the framework, there were four overarching themes

and approximately 14 milestone indicators for 2016, while there were only four assumptions to address all

outputs, reach/coverage, capacity, behaviour changes, direct benefits and well-being. As no model was

provided, a model was constructed from the log frames, and it is depicted in Figure 4.

Knowledge sharingIncrease access to high impact

nutrition interventions

Coordination & partnership development

Contingency planning

SAM/MAM Reduced

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This model focused on improved access for mothers and children to high-impact nutrition interventions.

Additional models are needed to consider the other focus areas: coordination, knowledge and contingency

planning. The design of ToC did not include causal link assumptions for the ex-post causal factor evaluation

of causality and attribution. Figure 4 shows the causal link assumptions that were developed and those that

were missing, e.g. assumptions around coverage/reach and direct benefits. In addition, the well-being

assumption was unclear.

Adapted from Useful Theory of Change Models, John Mayne (2015)3

In October 2016, the UNICEF-sponsored Social Protection Model to Enhance Resilience of Vulnerable

Communities in Karamoja to Food Insecurity and Malnutrition was released as a model for nutrition

resilience. In accordance with the principles of resilience, the programme had used previous research

(Section 3.1) and had engaged partners in efforts to align programmes at the national, district and local

levels (Section 3.2). Additionally, community models were comprehensive and appropriate to the cultural

context (Section 3.4). The FSNA was utilised as a tool for sharing the measured response to improving

access to high-impact nutrition interventions. IPs engaged caregivers at facilities and in communities to

build a more adaptive response to referral and treatment. Although UNICEF was not able to achieve all

planned results, it was appropriate to address the high levels of GAM, meeting the ERKP goal of

‘stabilisation in prevalence of GAM and SAM in children aged 6–59 months in Karamoja’ (section 3.6.1).

3 Mayne, J. Useful Theory of Change Models, Canadian Journal of Program Evaluation 30.2 (Fall/autumn), 119-142.

External Influences

Food prices, other

programmes - iNGOs

Unanticipated Results

Tim

eli

ne

Training (IYCF & IMAM) counselling on

nutrition benefits & IYCF

(Core Activities)

Coverage / reach

Capacity changes in knowledge,

attitudes, skills & opportunities

Improved treatment -Increase in IYCF

practices, e.g. DD, EBF, MMF

Children have a more nutritious diet

Child nutrition status &

health improves toward resilience

Figure 4. A theory of change model for improved access for mothers and children to high-impact nutrition interventions

Assumptions

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Built on appropriate research

Did the Did the Did the Did the ERKPERKPERKPERKP programme build upon appropriate research, studies and assessments that had already been programme build upon appropriate research, studies and assessments that had already been programme build upon appropriate research, studies and assessments that had already been programme build upon appropriate research, studies and assessments that had already been

conducted?conducted?conducted?conducted? Evidence of taking action Evidence of taking action Evidence of taking action Evidence of taking action based on findings of research/operational experience.based on findings of research/operational experience.based on findings of research/operational experience.based on findings of research/operational experience.

There were several examples demonstrating UNICEF ERKP’s utilisation of past research to design

interventions. Figure 24 in AppendixMost relevant to this evaluation, UNICEF built upon findings from the

2013 SLEAC and SQUEAC, which included an investigation into how messages that help to overcome

barriers and constraints were used to design relevant messages that sought to improve nutrition services

in Karamoja. Findings from these 2013 reports indicated that the most commonly reported barriers to

accessing OTC treatment included low awareness of the programme (35%), lack of awareness of

malnutrition (27%) and being too busy to attend (33%). The focus of the UNICEF ERKP effort to disseminate

IYCF messages was driven by this knowledge. To improve awareness, UNICEF ERKP engaged an IP, CUAMM,

to train VHTs and health workers. The programme also engaged CUAMM to recruit community leaders,

promote the inclusion of men in MSGs and VHTs and include these in programme measures. The purpose

was to raise awareness and address barriers to IMAM and IYCF services.

The programme demonstrated that planners recognised the importance of previous research to support

programme implementation, tracking and results measurement. Findings from the annual FSNA reports

were used to inform, improve, and support district partners and officials who collected and disseminated

information about programme performance and progress during quarterly meetings.

3.2 Aligned Was theWas theWas theWas the UNICEFUNICEFUNICEFUNICEF ERKPERKPERKPERKP programmeprogrammeprogrammeprogramme aligned with national and Karamoja priorities and plansaligned with national and Karamoja priorities and plansaligned with national and Karamoja priorities and plansaligned with national and Karamoja priorities and plans????

The UNICEF ERKP effort involved building governance towards a stronger regional and local leadership.

UNICEF engaged committed stakeholders to align programmes for IYCF community education, contingency

planning and resiliency development. Consistent with the principles of resilience, activities sought to build

systemic capacity at district and facility levels to absorb shocks and stresses. Stakeholders understood the

value of building capabilities towards resilience. Integration of quantitative and qualitative methods

considered progress over time. It was evidenced in the literature review and during KII with national and

regional stakeholders, that the ERKP UNICEF team had been a major influence and collaborator with

government, policymakers, and other national stakeholders in support of the nutrition agenda since 2009

(Appendix I).

MoH and UNICEF are mutually committed to the principles of best nutrition during the ‘first 1,000 days’,

demonstrated by the Uganda National Action Plan, nutrition-specific strategic planning and working

groups. Resilience to Food Insecurity and Malnutrition in Karamoja, Uganda framed the principles of

resilience to inform the resilience context. Furthermore, the effort to build resilience in Karamoja required

a multi-sectoral foundation, per the Karamoja Multi-Sectoral Nutrition Strategy and Joint UN Karamoja

Resilience Strategy. UNICEF ERKP also contributed to the development of the Karamoja Integrated

Development Plan and the Karamoja Multi-Sectoral Nutrition Strategy, ensuring alignment to national

development strategies and resilience planning. The ERKP nutrition components were aligned at the

national and district levels while considering the Sphere standards, e.g. performance indicators of cure,

death, and default rates for SAM under five years admitted.

The national nutrition strategic planning and working groups, and strategic and policy planning largely

organised by UNICEF, integrated multi-sectoral approaches that involved government, other UN sister

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agencies (WFP, FAO, WHO and USAID) and iNGO stakeholders in the region. The influence of the UNICEF

ERKP programme was seen in the Karamoja Nutrition Programme Multi-Sectoral Nutrition Strategy as well

as the Food Nutrition Security Assessments, which were supported by UNICEF and WFP and produced by

MoH. UNICEF was involved in the Uganda National Policy on IYCF in 2007 and the IYCF Counselling, which

supported the adaptation of materials appropriate to the situation in Uganda.

At the facility level, the majority (63.9%) of implementers felt that nutrition programme activities were

highly aligned with national/Karamoja priorities, while most of the remainder of respondents felt that

activities were fairly aligned. Only a very small minority (<2%) felt health facility activities were poorly or

not at all aligned with these priorities. The open-ended follow-up question inquired about why they thought

activities were aligned to the extent they indicated. Of those respondents, 40% that had rated alignment

highly reasoned that policies, procedures and national guidelines were in place and used at the facility.

3.3 Comprehensive Was it comprehensive from a multiWas it comprehensive from a multiWas it comprehensive from a multiWas it comprehensive from a multi----sectoral perspective (agriculture, education, health, social protection, sectoral perspective (agriculture, education, health, social protection, sectoral perspective (agriculture, education, health, social protection, sectoral perspective (agriculture, education, health, social protection,

water sanitation and hygiene)?water sanitation and hygiene)?water sanitation and hygiene)?water sanitation and hygiene)?

The most comprehensive multi-sectoral effort was found in the contingency planning. The Karamoja

nutrition programme strategy and support for district nutrition and disaster management committees

demonstrated UNICEF’s influence. UNICEF worked in collaboration with WHO, UNFPA, UNDP, FAO,

UNAIDS, WFP and other bilateral agencies to implement multi-sectoral strategies (contributions and

coordination details in Section 3.6.4). The ERKP programme in general engaged numerous sectors around

agriculture, education, health, social protection, water, sanitation and hygiene. Findings from the mapping

exercise and interviews with national staff confirmed these assumptions (see Mapping Exercise in Appendix

III). Stakeholders in all sub-counties were engaged (Figure 19, page 46). In general, donor-funded projects

in Karamoja indicated that their programmes were increasingly centred on nutrition, health education and

sanitation. Their nutrition sensitive efforts that were linked with UNICEF ERKP nutrition-specific

interventions. This was achieved through meetings and IYCF training. Programme representatives said that

they received training in IYCF and were screening and referring children to facilities, though it was unclear

which UN agency or agencies had held training with stakeholders. All 20 stakeholders interviewed in

Karamoja said that health education was a component of their work. Interviews with facility staff indicated

they were referring to livelihood programmes. However, we found a negative association with both

micronutrient supplementation (b=-4.08; p<0.05) and livelihood referrals (b=-6.10; p<0.05), suggesting

those facilities providing treatment may have been less likely to refer to livelihood programmes (Appendix

VI, Table 11). The social protection model developed by IIRR emphasises ‘a long term and multi-sectoral

collaborative of programmes as part of a “twin track approach” to address the underlying and basic causes

of undernutrition whilst, at the same time, maintaining the readiness and structures to respond to potential

emergency conditions’.

3.4 Appropriate for cultural context Was the Was the Was the Was the ERKPERKPERKPERKP programme programme programme programme appropriate for appropriate for appropriate for appropriate for the the the the cultural context? cultural context? cultural context? cultural context? Was there evidence of Was there evidence of Was there evidence of Was there evidence of the the the the design design design design being being being being

shaped around cultural practices?shaped around cultural practices?shaped around cultural practices?shaped around cultural practices?

Interventions displayed cultural sensitivity to the context in which they were applied, which was confirmed

by caregivers and community representatives. With few exceptions, respondents felt the food culture and

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context were considered. From a caregiver perspective, most (87.4%) felt that nutrition materials and

supplies had considered the local food culture.

Table 1. Karamojong food culture adequately considered when providing counselling

KARAMOJONG FOOD KARAMOJONG FOOD KARAMOJONG FOOD KARAMOJONG FOOD

CULTURE CONSIDEREDCULTURE CONSIDEREDCULTURE CONSIDEREDCULTURE CONSIDERED

COMMUNITY LEVEL COMMUNITY LEVEL COMMUNITY LEVEL COMMUNITY LEVEL

IMPLEMENTERS (N=34)IMPLEMENTERS (N=34)IMPLEMENTERS (N=34)IMPLEMENTERS (N=34)

CARE GIVERS (N=119)CARE GIVERS (N=119)CARE GIVERS (N=119)CARE GIVERS (N=119)

YESYESYESYES 94.1% 87.4%

NONONONO 5.9% 2.6%

Table 1. Karamojong food culture adequately considered when providing . Results showed that the clear

majority (94.1%) of community service providers (CSPs) felt that the methods used for screening children

under the programme parameters were acceptable to caregivers, and an equal number also believed that

the Karamojong food culture was adequately accounted for in the programme’s counselling messages.

Most CSPs (94.1%) agreed that the programme screening methods were acceptable to the community.

They were also asked if they thought key messages were easy for caregivers to follow. Of the 34 CSPs,

85.3% said that they were easy to follow. Caregivers agreed with this assessment (94%). Respondents

indicated during FGDs that some messages did not meet their needs (e.g., when ‘some women do not have

milk’). They also said they had experienced going to the health unit to find ‘health workers were not in

attendance’, which led to disappointment and probably a lower response rate.

‘The Karamojong food culture was adequately considered by the health workers and by the counsellors, because

they agree that our foods are good and they encourage eating them in a balanced way, for example, ensuring the

same type of food is not eaten every day’. MSG Napak

Evidence of community models

What is the evidence of community models being implemeWhat is the evidence of community models being implemeWhat is the evidence of community models being implemeWhat is the evidence of community models being implementing in Karamoja on behavioural change for IYCF, nting in Karamoja on behavioural change for IYCF, nting in Karamoja on behavioural change for IYCF, nting in Karamoja on behavioural change for IYCF,

maternal nutrition and hygiene?maternal nutrition and hygiene?maternal nutrition and hygiene?maternal nutrition and hygiene?

The community model involved outreach activities to engage and inform communities to change

behaviour. At the community level, models of implementation involved identification and training of

informal groups, community mobilisation, dialogues, sensitisation, forum theatres, food fairs, health facility

activation and so on, and operational support was provided to DHOs and NGOs. The evidence of community

models implemented in Karamoja was demonstrated via responses from caregivers regarding their

referrals to health facilities. More than 80% of those interviewed (n=119) had been referred via a VHT or

mother support group. Furthermore, community model organisations, such as VHTs and mother support

groups, were found to further expand their activities into other livelihood activities, such as savings and

loans groups (Appendix III, Mapping).

The UNICEF ERKP community models sought to strengthen Water and Sanitation Hygiene (WASH) training

message strategies. The mapping exercise revealed that all the IPs working in Karamoja had carried out

nutritional education campaigns at the community and HH levels. The local population was provided with

information on the recommended nutrition commodities that prevent malnutrition. Gender

mainstreaming activities aimed at promoting women’s involvement in agricultural farming included

promotion of horticulture to supplement cereals and educating women on better methods of food

preparation. The educational component included dissemination of information about WASH, e.g.

sensitising the local population about the importance of the building and use of pit latrines, restoring the

existing water sources, such as boreholes, and establishing new ones.

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Although facility staff indicated they provide hygiene and sanitation messages, it was not evident in

responses from caregivers, community counsellors and observations (section 3.6). WASH indicators were

not tracked in the log frame.

3.5 Equity To what extent has the programme design and implementation responded to barriers and bottlenecks to To what extent has the programme design and implementation responded to barriers and bottlenecks to To what extent has the programme design and implementation responded to barriers and bottlenecks to To what extent has the programme design and implementation responded to barriers and bottlenecks to

inequalities in access and coverage of key inequalities in access and coverage of key inequalities in access and coverage of key inequalities in access and coverage of key nutrition interventions?nutrition interventions?nutrition interventions?nutrition interventions?

The SQUEAC study 2012 and the access and coverage LQAS survey in 2015, as discussed in Section 3.1,

provided the foundation for the identification of barriers and bottlenecks. They reported, ‘Consistent

themes in barriers were lack of awareness of the programme, lack of awareness of malnutrition,

opportunity costs and rejection of the child by the programme’. UNICEF sought to address these barriers

through behavior change messages and IYCF training of VHTs and community representatives in order to

reach the target population. IYCF interventions also sought to engage men and community leaders in VHTs.

Mainstreamed gender legislation and public policy targeted women and children, which had implications

for both women and men. Programmes focused on the health of children, resulting in fairly distributed

services to male and female children.4

According to reports, geographic coverage was at 50% in 2015, with the programme focus on vulnerable

women and children under five years of age in hard-to-reach communities. A household survey was not

feasible during this evaluation. Therefore, we sought to ascertain the extent to which the programme was

perceived to demonstrate equity, considering two core aspects: geographical coverage and gender equity.

This was done through the desk review of reports and interviews with facility and community members.

Figure 5. Perceived coverage by gender and target population

When asked if nutrition services were reaching vulnerable children adequately, rather evenly, when

comparing facility staff and caregiver responses, just over three quarters of both facility service providers

(75.9%) and caregivers (78.2%) felt that the programme provided coverage for all targeted populations

(lactating women and children under five years). In contrast, 22% said nutrition services were not

adequately reaching the population. Those who felt it was reaching the vulnerable children, suggested the

reason for this was that “there are VHTs in every village.” And “Most malnourished children are in the

program.” Contrarily, some caregivers felt that VHTs were not well educated and the “screening process is

not done well, since most VHTs are not educated well.”

4 Of note, most interviewed caregivers were women.

75.90%

24.10%

88%

22%

78.20%

21.80%

73.90%

26.10%

0.00% 10.00% 20.00% 30.00% 40.00% 50.00% 60.00% 70.00% 80.00% 90.00% 100.00%

Yes

No

Yes

No

Co

vera

ge

all

ta

rge

t

po

pu

lati

o

n

Co

vera

ge

by

ge

nd

er

Perceived Coverage by Gender and Target

Caregivers (N=119) Facility service providers (N=108)

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There was some evidence that this varied by district. Specifically, when compared to respondents in

Kaabong, respondents in Napak had significantly lower odds (OR=0.11; p<0.05) of reporting that the

programme had reached targeted beneficiaries. There was somewhat less agreement on whether the

programme reached the population based on sex and age. Of facility service providers, 88% agreed that

the programme made efforts to target both men and women, compared to 73.9% of caregivers agreeing

with the statement. DHOs in Abim, Nakapiripirit, and Amudat said they were not reaching target

beneficiaries in their districts due to roads and transportation, gaps in coordination, stockouts, and lack of

VHT supervision in hard-to-reach areas.

3.6 Effective DidDidDidDid the efforts in the the efforts in the the efforts in the the efforts in the fourfourfourfour result areas scale up of result areas scale up of result areas scale up of result areas scale up of highhighhighhigh----impactimpactimpactimpact nutritionnutritionnutritionnutrition----specific interventions, coordination, specific interventions, coordination, specific interventions, coordination, specific interventions, coordination,

knowledge sharing and contingency planning preparedness implemented with sufficient quantity, qualityknowledge sharing and contingency planning preparedness implemented with sufficient quantity, qualityknowledge sharing and contingency planning preparedness implemented with sufficient quantity, qualityknowledge sharing and contingency planning preparedness implemented with sufficient quantity, quality,,,,

timeliness and adequacy to improve the quality, quantity and timeliness of implementation in support of timeliness and adequacy to improve the quality, quantity and timeliness of implementation in support of timeliness and adequacy to improve the quality, quantity and timeliness of implementation in support of timeliness and adequacy to improve the quality, quantity and timeliness of implementation in support of

achievement of planned results? achievement of planned results? achievement of planned results? achievement of planned results?

3.6.1 Scaling up access to high-impact nutrition interventions Programme effectiveness relates to the level by which the activities of a programme produce the desired

effect. Methods used in scaling up nutrition included integration of the IMAM programme into the existing

health system, skilling up healthcare workers and VHTs, engaging district officials and providing support to

assist them in transitioning IMAM services. Overall, results reported demonstrate a decline in malnutrition

rates and highlight the effort of all stakeholders in the region to stabilise the situation. By March 2015, per

UNICEF reports, they had met and exceeded most targets set forth in the proposal, including the

engagement of VHTs and the enrolment of SAM cases in therapeutic programmes. The numbers of OTC

and ITC were relatively stable. Quarterly reports showed 14 new sites, going from 102 in November 2013

to 116 in October 2015. However, by mid-2016, UNICEF had also completed training and coaching of only

89 health workers of the targeted 400.

Contrarily, community level programmes appeared to be lagging behind except for the effort to improve

exclusive breastfeeding. By mid-2016, UNICEF Uganda’s efforts in Karamoja exceeded the target of 80%

and achieved a rate of more than 90% of women EBF, above the national average. However, results of

efforts to improve meal frequency for children <5 years of age was not as impressive. The FSNA baseline in

May 2012 showed minimum meal frequency for children <5 was in the 30–50% range. Unfortunately, we

did not observe improvements in meal frequency. In 2014 the rate of practice was at 42%, 36.5% in 2015

and in June 2016, it was reported at 34%. Dietary diversity by December 2015 was up by 2.2% increasing to 5.6%

and by June, 2016 it was at 6%, with a baseline of 30-50% (May 2012 baseline corrected]. Dietary diversity and

complementary feeding practices had changed little over time, and minimum meal frequency appeared to

be on the decline.

Stabilise GAM

Was the UNICEF Was the UNICEF Was the UNICEF Was the UNICEF ERKPERKPERKPERKP programme programme programme programme appropriate to address the high levels of GAM inappropriate to address the high levels of GAM inappropriate to address the high levels of GAM inappropriate to address the high levels of GAM in Karamoja?Karamoja?Karamoja?Karamoja?

UNICEF ERKP nutrition programme was appropriate to address the high levels of GAM. The goal of

‘stabilisation in prevalence of GAM and SAM in children aged 6–59 months in Karamoja’ was achieved.

Results from the Haley Report suggest that GAM in the year 2000 was at 20%. Since 2009, Karamoja moved

from a critical status (>=15%) to a status of serious (10–14%), according to the WHO nutrition crisis

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classification.5 GAM in Karamoja was reported in May, September and December from December 2009 to

July 2016. GAM rates over this period hovered between a low of 8.1% at the end of 2011 to a high of 14%

in June 2015. Over this same period, the average of GAM was 11% (Figure 6). The difference between the

highest and lowest rates over the entire period was 6%.

We aimed to determine the impact of the nutrition effort using existing WHO data in Figure 6. It shows

GAM rates pre- and post-implementation, starting in December 2009 to late 2016. The baseline for this

evaluation was November 2013. The average GAM in the period before the evaluation was 10.52%. The

rates of GAM have gradually increased since 2009. However, GAM rates may be stabilising. Although the

average was 1.9% higher (12.45%) between December 2013 and July 2016, the range was lower. It was

between 11% and 14%, only a 3% difference over 31 months, whereas before the evaluation period, the

difference was 4.7% over 36 months, demonstrating greater swings in the prevalence of GAM.

Figure 6. GAM in Karamoja – UNICEF provided - source WHO

Source 1 District Biostatisticians provided Oct 2016

In June 2015, GAM among children 6–59 months in the Karamoja region was reported to be 14.1%, 95% CI

(12.9–15.3), the highest recorded in the last three years. The rate fell to 12.4% by December, and by July

the following year, GAM was down to 11.0%, below average for the period (see Figure 6).

SAM in Karamoja

The March 2016, UNICF ERKP target rate for SAM was 2%. SAM indicator data for 2014 were not

available. SAM in southern Karamoja between July 2015 and June 2016 as shown in Figure 7, shows

downward trends in the south, with greatest declines in Amudat and Napak. Figure 8 shows a

downward trend in northern Karamoja only in Kaabong, with increasing trends in Abim and Kotido.

5 The Management of Nutrition in Major Emergencies, WHO, 2003

2009

Dec

2010

May

2010

Sept

2010

Dec

2011

May

2011

Sept

2011

Dec

2012

May

2013

May

2013

Dec

2014

Jun

2014

Dec

2015

Jun

2015

Dec

2016

Jul

% GAM 9.5 11.8 9.5 9.4 12.8 9.1 8.1 11.7 12.3 11.0 13.4 12.8 14.1 12.4 11.0

9.511.8

9.5 9.412.8

9.1 8.111.7 12.3 11.0

13.4 12.8 14.1 12.4 11.0

0.0

5.0

10.0

15.0

20.0

Percent GAM in Karamoja

Figure 7. South Karamoja SAM – Source CUAMM

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Figure 8. North Karamoja SAM – Source CUAMM

Quality of IYCF services

What is the quality of IYCF services provided at the facility level?What is the quality of IYCF services provided at the facility level?What is the quality of IYCF services provided at the facility level?What is the quality of IYCF services provided at the facility level?

UNICEF ERKP improved the quality of IYCF nutrition services at facilities. The quality of counselling was

demonstrated at several levels, during observations at facilities, in interviews with facility staff and during

the sharing of community perceptions about satisfaction with the programme. Participant observation

techniques validated the quality of IYCF counselling and assessment services. Observations about processes

and information given to caregivers also informed the quality of counselling services.

0

50

100

150

200

1-Jul-15 1-Aug-15 1-Sep-15 1-Oct-15 1-Nov-15 1-Dec-15 1-Jan-16 1-Feb-16 1-Mar-16 1-Apr-16 1-May-

16

1-Jun-16

South Karamoja Severe Acute Malnutrition

(Source CUAMM Data)

Amudat Moroto Nakapiripirit

Napak Linear (Amudat) Linear (Moroto)

0

50

100

150

200

250

300

350

North Karamoja Severe Acute Malnutrition- (Source CUAMM Data)

Abim Kaabong Kotido Linear (Abim) Linear (Kaabong) Linear (Kotido)

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Satisfaction with the nutrition programme was high among implementers. Over 90% of facility staff, CSPs

and caregivers felt that the programme offered the best possible solution to malnutrition in Karamoja,

while district implementers were inclined to say the program was a best solution 75% of the time.

Figure 9, Programme perceived to offer best solution

Moreover, facility staff and community implementers reported a range of positive results they felt were

directly attributable to the programme. More than three quarters of both groups cited an increased cure

rate, lower child deaths and increased caregiver information as positive results arising from the

programme. Indeed, cure and death rates had improved (Section 3.2.1). While 63% of facility staff (n= 108)

and 71% of community implementers (n=34) pointed to a reduction in the cases of malnutrition due to the

programme, 66.7% of facility staff and 85% of community implementers reported that OTC services were

also associated with a reduction in child sickness in general.

Our children have benefited from the Kapedo health unit and they have received RUTF and other

supplementary foods like soya flour; this has been possible through the health unit accessibility outreach

done by VHTs among other things’. FGD Men Kaabong

A smaller but still sizable proportion also felt that the nutrition programme at OTCs resulted in higher

uptake of services (52.8% facility staff and 32% VHT) and increased referrals in their facility and community

(30.6% facility staff and 32% VHT). Caregivers were not asked to report on positive results attributable to

the program; however, 92.4% said they were satisfied with the services being offered, and 99.2% felt that

IYCF counselling messages helped to improve their nutrition knowledge and influence behaviours (n=118).

Of staff interviewed at OTC/ITCs, over 80% said that they give messages on exclusive breastfeeding up to

six months (82.4%). Complementary feeding starting at 6 months (85.3%) was listed next, followed by best

practices for feeding a sick child (88.2%) and best practices for hygiene and sanitation (97.1%). In addition,

52.9% cited immunisation as a message provided to caregivers, and 50% cited maternal nutrition

messaging. Fewer than 50% reported that counselling messages include control of Vitamin A (47.1%), and

only 14.7% mentioned anaemia. Deworming was referenced (23.5%), as was growth monitoring and

promotion (41.2%).

75%

91.7% 91%97.5%

0%

50%

100%

1

Percent Reporting Program Offered the Best Solution

DNs and DHOs Facility Staff Community Implementers Program Beneficiaries

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Figure 10. Comparison between IYCF counselling observed at facilities, CSP said provided, caregivers said received

In Figure 10, observations and responses from CSP and caregivers are compared. The figure shows that

messages about complementary breastfeeding, feeding a sick child, growth monitoring and immunisation

were the most frequently ‘received’ messages, according to caregivers. Although hygiene and sanitation

messages were provided, according to community implementers and observations, few caregivers

mentioned hygiene counselling. Exclusive breastfeeding counselling was mentioned around 50% of the

time by all participants, probably because about half of survey participants had children past the age of

EBF. Participant observations demonstrated a difference between caregiver responses and observed

behavior. However, the observation dataset was too small to draw conclusions. The consistency between

what caregivers said they received, observations of health assessments at facilities and perceived

community service-provided messages were relatively consistent, which poses an important question. To

what extent are messages consistently given/received, and who is most likely to reach caregivers with

messages?

Quality of referral services CSPs’ most commonly watched-for sign was MUAC (85.3%), followed by

oedema (76.5%), with far fewer reporting watching for illness (61.8%) or poor appetite (61.8%).

Additionally, 32.4% discussed some other sign(s) they watched for when making referrals. Responses were

relatively consistent with best practices.

2 shows responses from CSPs when asked about ‘key signs you look for in children in the community’ to

screen and refer caregivers to health facilities for nutrition services (Refer to Q7 caregiver tool). CSPs’

most commonly watched-for sign was MUAC (85.3%), followed by oedema (76.5%), with far fewer

63

.6%

59

.1%

59

.1%

54

.5%

54

.5%

54

.5%

72

.7%

40

.9%

36

.4%

27

.3%

82

.4%

85

.3%

88

.2%

47

.1%

14

.7%

97

.1%

23

.5%

52

.9%

41

.2%

50

.0%

80

.7%

78

.2%

73

.9%

47

.9%

21

.0%

89

.1%

29

.4%

47

.1% 2

8.6

%

23

.5%

CB

F

Fe

ed

ing

sic

k c

hil

d

Gro

wth

mo

nit

ori

ng

EB

F

De

wo

rmin

g

Imm

un

ize

Hy

gie

ne

& s

an

ita

tio

n

Ma

tern

al

nu

trit

ion

Vit

am

in A

An

em

ia

IYCF Counseling Conducted

Observations at Facilities, CSP Provided & Caregivers Received

Observations (n=22) CSPs (n=34) Caregivers (n=119)

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34 | P a g e o f 6 4

reporting watching for illness (61.8%) or poor appetite (61.8%). Additionally, 32.4% discussed some other

sign(s) they watched for when making referrals. Responses were relatively consistent with best practices.

Table 2, VHT responses to ‘what indicates key signs for OTC referral’

KEY SIGNS TO WATCH FKEY SIGNS TO WATCH FKEY SIGNS TO WATCH FKEY SIGNS TO WATCH FOR TO REFER TO OTOR TO REFER TO OTOR TO REFER TO OTOR TO REFER TO OTCCCC NNNN N=N=N=N=34 /34 /34 /34 / %%%%

MUAC 29 85.3%

Oedema 26 76.5%

Illness 21 61.8%

Poor appetite 21 61.8%

Other 11 32.4%

Figure 11 shows how caregivers came to seek services at facilities included in the survey. There was a

significant variation across districts in how caregivers came to seek services at the facility. Most caregivers

who were at the 51 facilities visited, (72%) were seeking care because of a VHT referral, which highlighted

the important link that the VHT has within the community.

Figure 11 Caregiver Referrals by type - Primary Data 2016

Caregivers in Amudat, Nakapiripirit, and Napak had significantly lower odds of seeking services at the facility

because of VHT referral compared to those in Kaabong, which was used as reference. This may signal a

need for more VHT scale up in Amudat, Nakapiripirit, and Napak.

Unexpected results

The analysis of the data from the caregivers provided some additional insights on the qualitative

effectiveness of the nutrition programme. The clear majority of caregivers interviewed (116 out of 119)

believed that the programme has contributed to improving the nutritional needs of Karamoja. In assessing

the programme, many of them explicitly mentioned the use of RUTF, particularly in combination with locally

72%

48%

22%

17%

14%

7%

Referred by VHT

Facility near my home

Friend- family

Another health facility

Referred by MSG

Other

0% 10% 20% 30% 40% 50% 60% 70% 80%

Caregivers treatment seeking referrals to facility

(n=119)

Caregivers treatment seeking referral

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available foods, such as green vegetables and milk, and their role in recovery from malnutrition for affected

children (including orphans, who were perceived to be most at risk of death in some interviews).

Focus groups revealed that some people starve their children to remain in the programme. They also indicated

that mothers sometimes give RUTF to other mothers who do not have food for their children. RUTF is not just

used by children with nutrition problems, because most mothers share with other mothers for their children

when they do not have food. During semi-structured interviews, facility staff said that because of OTC, they had:

• Identified some children to immunise

• Identified mothers for antenatal care (ANC)

• Dependency upon the supplemental foods

• Selling of RUTF and some starve their children to obtain it

• Community members are referring children to the programme

Equitable & accessible IMAM services

How accessible is the IMAM programHow accessible is the IMAM programHow accessible is the IMAM programHow accessible is the IMAM programmemememe? ? ? ? Is it reaching its intended beneficiaries?Is it reaching its intended beneficiaries?Is it reaching its intended beneficiaries?Is it reaching its intended beneficiaries?

The extent to which IMAM and IYCF is accessible and reaches its intended target beneficiaries was

measured by examining changes in the number of severely malnourished cases by district over time, i.e.

the number of severely malnourished cases. The sustained reduction in the under-five prevalence of acute

malnutrition demonstrated accessibility and the fact that targeted beneficiaries were reached (See cases

by district over time in Appendix I).

At facilities, the most commonly mentioned element that hampered coverage was the inclusion of men in

counselling and training. When asked about the programme’s effort to be inclusive of men and women,

42.6% indicated that UNICEF’s nutrition programme was making a ‘fair effort’, and their reasoning was that

‘men think that women are the ones responsible for the home’.

Focus group respondents said, ‘Women are the ones who usually bring children for services’ and ‘The

programme is only focused on children’. Meanwhile, 45.4% of facility implementers felt that a high effort

was made to reach both men and women, with only a small minority reporting a poor effort (8.3%) or no

effort (3.7%). Staff members at facilities were tasked with indicating their level of effort to reach both men

and women. Less than half indicated they made a high effort (45.4%), and most of the other respondents

(42.6%) said that they made a fair effort. Almost a tenth of the respondents said the effort to reach both

men and women was a ‘poor effort’, because ‘few men are seen escorting their wives to the facility’.

When caregivers were asked if nutrition services were reaching vulnerable children adequately, 78% of

them affirmed, while 22% said nutrition services were not adequately reaching the population. Those who

felt it was reaching the vulnerable children suggested the reason for this was that ‘there are VHTs in every

village’. Moreover, ‘Most malnourished children are in the programme’. Contrarily, caregivers felt some

messages were not meeting targets, because ‘the screening process is not done well, since most VHTs are

not well educated’.

FHDs

The holding of FHDs at facilities was considered an outreach platform aimed at reaching hard-to-reach

beneficiaries.6 This presented opportunities to provide services and reach programme targets for Vitamin

A, as well as providing deworming and immunisations. UNICEF and other agencies supported FHDs held in

district facilities. In 2014, FHDs were scheduled four times per year. In 2015, MoH reduced the number to

6 2014 LQAS Coverage Survey

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twice per year. It was unclear why the number of FHDs was reduced. Data generated through FHDs were

limited to July 2015 to March 2106, charted in Figure 12. The figure shows surges in the provision of both

Vitamin A supplementation. Peak and trough periods for coverage of the second dose of Vitamin A, had

the highest across-district mean (3,456 children) receiving this micronutrient supplementation occurring in

October 2015 and the lowest mean (446 children) supplementation occurring in March 2015.

Barriers to access

Have barriers to access been identified and addressed? Have barriers to access been identified and addressed? Have barriers to access been identified and addressed? Have barriers to access been identified and addressed?

Findings from SQUEAC and SLEAC surveys in 2013, and the subsequent 2015 LQAS survey report, showed

that the most commonly reported barriers to accessing OTC treatment included low awareness of the

programme, lack of awareness of malnutrition and being too busy to attend (Section 3.1). Evaluators found

that strategies to address awareness of malnutrition had led to an improved understanding of malnutrition

at facilities and iNGOs, improved cure and default rates.

Awareness of the programme was apparent among interviewed caregivers. They shared with interviewers

the messages they had received in Karamoja. Community implementers also shared the messages that they

conveyed. Responses from both are combined in Table 2. Most of the time (97.1%), implementers said they

had disseminated hygiene and sanitation information, and 89.1% of caregivers received those messages;

for feeding practices for a sick child, these figures were 88.2% for community implementers and 78.2% for

caregivers. For exclusive breastfeeding (EBF) up to 6 months, the figure was 82.4% for VHTs, and 80.7% of

caregivers received the messages. The rate of EBF was estimated at 91%.

Table 3, IYCF messages given by VHTs in the programme

MESSAGES DISTRIBUTEDMESSAGES DISTRIBUTEDMESSAGES DISTRIBUTEDMESSAGES DISTRIBUTED AND RECEIVEDAND RECEIVEDAND RECEIVEDAND RECEIVED COMMUNITY COMMUNITY COMMUNITY COMMUNITY

IMPLEMENTERS (N=34)IMPLEMENTERS (N=34)IMPLEMENTERS (N=34)IMPLEMENTERS (N=34)

CAREGIVERSCAREGIVERSCAREGIVERSCAREGIVERS

(N=119)(N=119)(N=119)(N=119)

EXCLUSIVE BREASTFEEDEXCLUSIVE BREASTFEEDEXCLUSIVE BREASTFEEDEXCLUSIVE BREASTFEEDING UP TO SIX MONTHSING UP TO SIX MONTHSING UP TO SIX MONTHSING UP TO SIX MONTHS 82.4% 80.7%

COMPLEMENTARY FEEDINCOMPLEMENTARY FEEDINCOMPLEMENTARY FEEDINCOMPLEMENTARY FEEDINGGGG STARTING AT 6 MONTHSTARTING AT 6 MONTHSTARTING AT 6 MONTHSTARTING AT 6 MONTHS WITH CONTINUED BRES WITH CONTINUED BRES WITH CONTINUED BRES WITH CONTINUED BREASTFEEDINGASTFEEDINGASTFEEDINGASTFEEDING 85.3% 78.2%

FEEDING FEEDING FEEDING FEEDING AAAA SICK CHILDSICK CHILDSICK CHILDSICK CHILD 88.2% 73.9%

Figure 12. Children receiving second Vitamin-A dose by district

100

5000

100

5000

100

5000

Mar-2015Jul-2015

Nov-2015Mar-2016

Mar-2015Jul-2015

Nov-2015Mar-2016

Mar-2015Jul-2015

Nov-2015Mar-2016

Amudat Moroto Nakapiripirit

Napak Abim Kaabong

Kotido Total

Total R

eceiving V

itamin A

TimeGraphs by District name

# Children Receiving 2nd Vitamin A Doseby District, DHIS2 Data, March 2015-April 2016

Napak has a record of 99 deaths in the April reporting period, and Nakapiripirit did not report deaths from July 2013 to January

2015

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CONTROL OF VITAMIN ACONTROL OF VITAMIN ACONTROL OF VITAMIN ACONTROL OF VITAMIN A 47.1% 47.9%

CONTROL OF CONTROL OF CONTROL OF CONTROL OF ANAEMIAANAEMIAANAEMIAANAEMIA 14.7% 21.0%

HYGIENE AND SANITATIHYGIENE AND SANITATIHYGIENE AND SANITATIHYGIENE AND SANITATIONONONON 97.1% 89.1%

DEWORMINGDEWORMINGDEWORMINGDEWORMING 23.5% 29.4%

IMMUNISATIONIMMUNISATIONIMMUNISATIONIMMUNISATION 52.9% 47.1%

GROWTH GROWTH GROWTH GROWTH MONITORING AND PROMOMONITORING AND PROMOMONITORING AND PROMOMONITORING AND PROMOTIONTIONTIONTION 41.2% 28.6%

MATERNAL NUTRITIONMATERNAL NUTRITIONMATERNAL NUTRITIONMATERNAL NUTRITION 50.0% 23.5%

OTHER OTHER OTHER OTHER 11.8% 1.7%

We also found that caregivers in Abim had significantly higher odds of being given messages about growth

monitoring compared to those in Kaabong (Appendix VI). Under one-quarter of community implementers

(14.7%) and 21.0% of caregivers reported messaging on control of anaemia.

Concerning the reach of programme messages, the percentage of caregivers that reported they received

messages on exclusive breastfeeding (OR=3.15; p<0.05) was positively associated with meeting the target

for death rates, while control of Vitamin A (OR=.43; p<0.05) was negatively associated with meeting the

target. In most months, over 70% of facilities met the targets, with 88% meeting the target in January and

April of 2013. At its lowest, this figure fell to 25.6 in September 2016, which was quite anomalous.

Caseload and treatment coverage

Was the ERKP nutrition programme response to IMAM Was the ERKP nutrition programme response to IMAM Was the ERKP nutrition programme response to IMAM Was the ERKP nutrition programme response to IMAM ccccaseload aseload aseload aseload sufficient to meet the need?sufficient to meet the need?sufficient to meet the need?sufficient to meet the need?

Between 2013 and June 2016, the average annual admissions were 11,947. In 2014, UNICEF reported that

the programme had reached 13,090 severely malnourished children of an estimated 20,186 annual

caseloads, representing 65% of the total SAM caseload. According to the 2015 LQAS, the overall coverage

for the OTC programme in Karamoja was 49%, (95% CI 47–52%). The Supplementary Feeding Programme

(SFP) coverage was also 49% (95% CI 48%-51%). The point coverage was estimated at 34% (95% CI= 24.4–

43.9%). As of October 2015, 66,876 children and lactating women had received treatment for malnutrition.

There was a limited snapshot of the situation in 2016, as SAM appeared to be increased widely over the

course of 2016, with a peak in July in the Kotido, Napak and Nakapiripirit districts.

Figure 13 shows SAM caseload and new admissions from 2009 to 2016. In the June FSNA report of 2013,

the number of new SAM admissions reported was 13,988, and the estimated caseload was 20,186 (69%).

In 2014, the number of new SAM admissions was down to 13,090, very close to the estimated caseload of

13,275. In 2015, new SAM cases dropped to 10,301, but the anticipated caseload was at 17,542. (Of note,

in 2015 there was a severe drought in Karamoja, hence an increased anticipated caseload.) In 2016, the

estimated caseload and the number of new SAM admissions were very close, with the estimated caseload

at only 8.5% above the actual number of new SAM admissions, demonstrating UNICEF ERKP improvements

in estimating needed coverage.

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Figure 13. Chart of SAM annual caseload vs admissions in Karamoja 2011–2016

The end-of-project report in 2016 noted that 9,692 children were enrolled in therapeutic feeding

programmes, representing 60% of the anticipated caseload. By June 2016, the coverage had reached 86%

of the total SAM burden with 10,411 SAM admissions and a caseload of 12,059. This was well above the

50% Sphere7 standard for coverage of OTC programmes in rural settings and the recommended 70% for

combined ITC-OTC programmes.

Performance indicators and Sphere targets

What are the IMM What are the IMM What are the IMM What are the IMM programme programme programme programme performance indicators over time (cure, default and death rateperformance indicators over time (cure, default and death rateperformance indicators over time (cure, default and death rateperformance indicators over time (cure, default and death ratessss, non, non, non, non----

responders, relapses, average length of stay)responders, relapses, average length of stay)responders, relapses, average length of stay)responders, relapses, average length of stay), and, and, and, and are they consistent with are they consistent with are they consistent with are they consistent with SphereSphereSphereSphere standards?standards?standards?standards?

Key programme performance indicators (cure, death and default rates) were not within the minimum

acceptable Sphere standards. Programme performance measures for IYCF included the number of OTC/ITC

units, number of SAM children enrolled, anticipated caseload and cure, default and death rates. UNICEF

performance indicators show that cure and death rates demonstrate an improvement over time. The

default rate continued to be a key challenge that cut across all districts. Data from the FSNA were used to

confirm these rates and to assess programme performance as seen in Figure 14. Overall, 13 facilities met

or exceeded the targets for cure rate, death rate and default rate for at least 20 months during the

evaluation period. Figure 14 shows trends over the four years in cure, death and default rates (see Appendix

I, for district breakdown).

An analysis of FSNA raw data presented a full picture of performance measures (Appendix I, Table 13).

Figure 14 shows that across all facilities, the cure rate was below the Sphere target of greater than 75% for

most of the period from January 2013 to September 2016. Only in August 2013 and January 2015 did the

cure rate meet the target, at 80% and 75.2%, respectively. However, in many months, the cure rate was

not far below the target; in January, August and September of 2014, August 2015, and May, June, July, and

7 The Sphere Handbook is a widely-recognised set of common principles and universal minimum standards for the delivery of quality

humanitarian response.

13,003

16,780

20,843 20,186

13,275 17,542

12,059

8,338 9,497

11,547 13,988 13,090

10,301 10,411

1,000

6,000

11,000

16,000

21,000

26,000

2009 2010 2011 2012 2013 2014 2015

Chart showing the SAM case load vs admissions in Karamoja

since 2009 - 2016 based on May-June FSNA rounds

Estimated SAM caseload

New SAM admissions

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September of 2016, the cure rate exceeded 70%. Our inferential models showed a positive association

between the cure rate percentage of facility staff reporting that their facility offered referrals to livelihood

programmes (b=13.1; p<0.05). Additionally, we found a positive association between the cure rate and

reported RUTF consumed at the facility (b=0.0016; p<0.05). This association held when we controlled for

health facility level and district, and it highlights the potential importance of RUTF in improving cure rates.

However, there was a negative association between the percentage of caregivers reporting messaging on

maternal nutrition and facility cure rate (b=-17.3; p<0.01). This outcome could reflect the inability of facility

staff to manage increased caseloads.

Cure rates

Although the mean cure rate was below the target for most of the 2013–2016 period assessed, in most

months, around 50% of facilities in fact met the target; the lowest percentage meeting the target across

the period was 40.3% in November 2014, while the highest was 87.2% in September 2016, which may be

an indicator of improvement. Mean cure rates tended to be skewed by poor performance among a few

facilities in any given month, but few facilities were consistently poor performers. In other words, while

mean cure rates may have been lowered by low cure rates in some specific facilities in any given month,

facility-specific performance tended to have peaks and troughs rather than being consistently poor.

Moreover, 28 facilities met the cure rate target for more than 20 months during this period (Appendix I).

Our inferential models showed a positive association between whether a facility met the target cure rate

and the percentage reporting that the facility provided micronutrient supplementation (OR=2.09; p<0.05)

and the percentage reporting referrals to livelihood programmes (OR=2.47; p<0.05). While a higher

percentage of caregivers reporting messaging on breastfeeding to six months was associated with lower

odds of meeting cure rate targets (OR=0.40; b<0.05), there was a strong and positive association with

messaging on feeding of a sick child (OR=2.22; p<0.05) (see Appendix I, Cure rates by district).

015

30

45

60

75

Rate

Jan-2013Jan-2014

Jan-2015Jan-2016

Time

Cure rate Death rate

Default rate

Mean Cure, Death, and Default RateOTC/ITC Data, Jan 2013-September 2016

Figure 14. Mean cure, death and default rates January 2013-September 2016

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Death rates

The mean death rate for each month from January 2013 to September 2016 was also provided in Error! Error! Error! Error!

Reference source not found.Reference source not found.Reference source not found.Reference source not found., Table 13. The death rate was consistently well below the Sphere target of

10%, with the highest mean rate in any month being 6.9% in August 2016. Given rates in preceding months,

however, this appears to be an anomalous spike. As discussed above, reported training in assessments,

IYCF, referrals and integrated management of childhood illnesses were all negatively associated with the

death rate. Additional inferential models show that the percentage reporting that the facility offers

ReSoMal (b=2.72; p<0.001) and RUTF (b=2.75; p<0.05) was positively associated with the death rate. While

this seems counterintuitive, it may reflect a selection effect where higher death rates reflect a greater

number of severe cases requiring these resources (and this may also shape the distribution of resources to

facilities).

Training may have an impact on death rates. A regression analysis of IMAM training and death rates showed

a significant, negative relationship. Specifically, there was a negative association between the death rate

and the percentage of respondents at facilities reporting they had received training in assessment (b=-3.10;

p<0.01), IYCF (b=-2.69; p<0.001), referrals (b=-1.79; p<0.05) and integrated management of childhood

illnesses (b=-1.55; p<0.05). The coefficients for referrals and IMAM were no longer significant once district

was included as a control variable in the models, suggesting that some of the association between training

and the death rate was due to district-level variation in these variables (Appendix VI, Table 12).

The association of death rate with training in assessment and IYCF remained strong and significant in these

multivariate models (b=4.98; p<0.05), an association which held after a control for district was introduced.

Thus, assessment and IYCF training may be particularly fruitful areas for future training investment.

Default rate A summary of targets and achievements are available in Table 8.

Figure 3 provides the default rate. In five months (March and August 2013, January and August 2015 and

June 2016), the overall mean default rate met the Sphere target of <15% defaults. However, in several

months, the mean rate was very close to the target—for example, the rate was 15.1% in September 2015

and 15.4% in June 2015. In most months, around 45% of facilities met the default rate target, with a peak

of 68% meeting the target in January and March 2013 and a low of 10.3% meeting it in September 2016.

Yet 20 facilities also met the target for at least 20 months across the period. Interestingly, none of the

training, service or messaging variables was a significant predictor of the default rate. However, there was

a negative association between the default rate and RUTF consumption (b=-0.002; p<0.01), perhaps

reflecting the importance of receiving nutritional resources for patient retention. RUTF consumption

(OR=1.00; p<0.001) was positively associated with meeting the default rate target, while maternal nutrition

messaging was negatively associated with meeting the default rate target (OR=0.51; p<0.05).

Importantly, negative associations between activities/messaging and cure and default rates (e.g. with

maternal nutrition messaging) may reflect the need to scale-up rather than scale-back activities/actions.

That is, additional training of health workers in counselling may be required to improve the effect. It is also

worth noting that training, activity and messaging data came from our primary data collection. As

previously noted, our sample showed some evidence of mild selection effects, including a higher cure rate

among facilities in our sample. In addition, notably, more than half (58%) of monthly data were missing on

RUTF supplies between facilities, which may also lead to concerns that significant RUTF results were driven

by sample selection. However, a flag variable was created to identify missing cases; this missing RUTF flag

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was not a significant predictor of the death or default rates (nor odds of meeting targets for these rates),

suggesting that selection was not a serious concern for the RUTF findings.

Non-response rate

IMAM performance measures for this evaluation included a look at performance indicators over time,

including non-responders, relapses and average length of stay. However, upon investigation, there were

too few data points for any measurement of success in relapses and average length of stay.

Figure 15. Mean non-response rate OTC/ITC data Jan 2013-Sept 2016

Regarding non-response rates, there was no clear pattern in non-response—it varied considerably over the

period, as can be seen in Figure 15. A decrease began after the first quarter of 2015 and continued to

September 2016, when it dropped considerably. Looking at average response rates across facilities, the

lowest value was 2.46% in June of 2013, while the highest value was 16.33% in November of 2013. The

overall mean across all facilities and observation points was 10.31%. Inferential models showed that there

was a significant and negative association between the nonnegative association between the nonnegative association between the nonnegative association between the non----response rate and the percentresponse rate and the percentresponse rate and the percentresponse rate and the percentageageageage of staff of staff of staff of staff

reporting training in treatment of mareporting training in treatment of mareporting training in treatment of mareporting training in treatment of malnourishmentlnourishmentlnourishmentlnourishment (b=-4.98; p<0.05). No other training factors were

significant predictors. Messaging reported by caregivers also appeared to be an important predictor of the

non-response rate. Specifically, there was a strong, negative relationship between the percentage reporting

comprehensive feeding messaging and the non-response rate (b=-8.96; p<0.001), as well as a negative

relationship with messaging about anaemia (b=-5.48; p<0.05). There was also an association with

immunisation (b=4.55; p<0.05), but it was a positive association—that is, a higher percentage of caregivers

reporting immunisation messaging was associated with a higher non-response rate. Additionally, unlike

some of the other rates examined here, the non-response rate also varied significantly by facility type.

Specifically, hospitals had a much lower non-response rate (b=-8.80; p<0.001) than did HC 3 facilities.

05

10

15

20

Rate

Jan-2013Jan-2014

Jan-2015Jan-2016

Time

Mean Non-response RateOTC/ITC Data, Jan 2013-September 2016

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3.6.2 Improving coordination and partner interaction Did the Did the Did the Did the ERKPERKPERKPERKP programme add valueprogramme add valueprogramme add valueprogramme add value to andto andto andto and complement and complement and complement and complement and harmonise harmonise harmonise harmonise with plans with plans with plans with plans and actions of other and actions of other and actions of other and actions of other

agencies and donors working on intersectoral initiatives within Karamoja?agencies and donors working on intersectoral initiatives within Karamoja?agencies and donors working on intersectoral initiatives within Karamoja?agencies and donors working on intersectoral initiatives within Karamoja? Is there evidence of good Is there evidence of good Is there evidence of good Is there evidence of good

coordination practice?coordination practice?coordination practice?coordination practice?

UNICEF coordination and partner interactions enabled efficient synergies among core components of the

ERKP Nutrition Programme. Coordination and collaboration key components included participation in

sectoral coordination mechanisms to share responsibility. UNICEF and OPM organized working groups to

share assessment and programme information, and updated groups regularly. UNICEF coordinated with

other humanitarian agencies to strengthen advocacy and established clear policies regarding engagement.

UNICEF coordination and flow is diagrammed in Figure 16.

Figure 16. Coordination between programme implementation levels

Interviews with OPM, WFP, WHO and UNICEF confirmed that national strategic planning meetings took

place monthly and involved numerous players. Linkages between the various direct stakeholders were

charts in Figure 17. Figure 18 maps the 20 iNGOs in sub-counties of the Karamoja region. UNICEF’s IP was

CUAMM, and WFP’s was the MoH. Interviews with other UN agencies, IPs and DHOs demonstrated a clear

understanding of each organisation’s responsibilities. WFP and UNICEF coordinated the FSNA biannually.

Both agencies worked with WHO to develop counselling cards for IYCF counselling, training for inpatient

IMAM and UNICEF working largely in OPT with WFP providing support to pregnant and lactating women.

WHO provides technical assistance for updating and developing the guidelines, e.g. IYCF and IMAM 2013.8

FAO plans and activities with UNICEF were largely under development and not evident at the district level,

although iNGOs indicated that they had been trained in IYCF and were referring patients to OTC sites

(Appendix III, Mapping Exercise).

‘The multi-sectoral approach has stopped at the coordination meetings. There is nothing

serious on the ground; there is no evidence of work done’. [Moroto, Regional NGO]

Partners were few and widely disbursed in Moroto & Nakapiripirit, yet these districts had the

highest levels of SAM. They were under supported sub-counties North - Kacheri, Kotido,

Panyangara and Nyakwae, Abim, South –Rupa, Moroto, Lokopo, Iriiri. Mercy Corps and World

Vision had greater presence, whilst Caritas had the least. Sub-Counties of Kaabong and Napak

had the highest concurrence of IPs offering nutrition programs.

National Nutrition Initiatives &

policies

District , DHO, DN, DLO & other

Implementing Partners

Facility Staff & Community

Service Providers

VHT Community & Caregivers

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43 | P a g e o f 6 4

Figure 17. UNICEF ERKP partner linkages between various stakeholders

(double-click for full view in Excel)

Stakeholders

charted-Final.xlsx

Partnership effectiveness

To what extent has the ERKP leveraged partnerships/linkages with other To what extent has the ERKP leveraged partnerships/linkages with other To what extent has the ERKP leveraged partnerships/linkages with other To what extent has the ERKP leveraged partnerships/linkages with other programmesprogrammesprogrammesprogrammes supported in the region supported in the region supported in the region supported in the region

(e.g. the USAID (e.g. the USAID (e.g. the USAID (e.g. the USAID FFFFeed eed eed eed the the the the FFFFutureutureutureuture, FAO and WFP)?, FAO and WFP)?, FAO and WFP)?, FAO and WFP)?

Overall, UNICEF did well at leveraging the partnerships. Communication and coordination were strong and

programmes well-coordinated between the WHO, WFP and UNICEF. WFP team members were aware of

most UNICEF activities, and they indicated their involvement on various levels, e.g. FSNA, IYCF training and

referral practices. Consultants did not find strong communication or coordination between UNICEF

nutrition efforts and those of FAO. ERKP partners UNICEF, WFP and WHO were not able to clearly articulate

the process of referrals between livelihood development and nutrition programmes, and there was only

some mention of referrals to livelihood evidenced from interviews with facilities. In addition, although WFP

MOH FAO WFP UNICEF WHO OPMIrish Aid,

EU

Tools for IYCF

counselingAFC MAM DHOs IMAM

CAFh CBSFP VHTsOTC/ITC

TreatmentCUAMM

SFP HC StaffSalary of M&E

officer

Contingency

Planning

ERKP Karamoja

Results (Haley Report) year 2000 =GAM at 20% & 2015 15% = 5% reduction

BCC & IYCF Training

IMAM Guidelines updates

UNICEF ERKP Nutrition

National Nutrition Players

Knowledge

Sharing

DHO

VHT

Facilities

Data Collection

Mapping

Nutrition Specific Interventions

REACH

UNAP

HMIS monitoring

DHT, NFP, Biostatistician

training in indicators

Increasing access

to high impact

nutrition

interventions

Co

nti

ng

en

cy

Pla

nn

ing

Nu

trit

ion

Se

nsi

tive

IMAM Training

FSNA support

Uganda Nutrition Policy

Monthly ERKP meeings

National indicators/DHIS II

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44 | P a g e o f 6 4

did indicate that they worked with FAO on mapping, one interviewee said, ‘There are some GIS activities,

but no real work together’ [National KII]. Only 25% of facilities said they referred to livelihood programmes.

None of the CHWs and VHTs mentioned referral to livelihood programmes during caregiver counselling.

There is a need for harmonization especially on the side of donors. If the biggest problem is

food, look for the root cause; harmonize intervention before they come into the region.

[Regional Multi-sector NGO]

The measure of coordination improvements was a count of district teams trained in contingency planning,

preparedness and response for nutrition in the seven districts. This was not achieved, according to progress

reports and the log frame. A contract was put in place with IIRR to commence in 2015, and activities were

underway during the evaluation. However, the District Disaster Management Committees (DDMC), Sub-

County Disaster Management Committees and District Nutrition Coordination Committee (DNCC)

structures were being revived through numerous capacity-building sessions, according to regional

implementers. The IIRR facilitated the District Disaster Management Committee in reviewing existing

contingency plans and developing and integrating the nutrition components within the various districts’

contingency plans (seven districts of the Karamoja sub-region). However, at the district level, interviews

did not support this finding. Several districts indicated that sub-county committees either had not formed

or were in the beginning stages of forming. According to the May 2016 UNICEF report, district-level

meetings had taken place with nutrition partners in Nakapiripirit, Kaabong, Napak, Amudat and Moroto.

Those that sub-county teams were functional and indicated that they played a key role in supervisions.

The sub-county team always helps us in role plays and do supervisions too [HC VI,

Nakapiripirit]

Sub-county meetings in Abim and Kotido were planned to begin in 2016. Facility staff felt that the sub-

county-level committees were either poorly (10.2%) or not at all functional (45.4%), with only 23%

indicating that these committees were highly functional.

Stakeholder contributions

How did the programme stakeholders contribute to the programme outcomes when the programme was How did the programme stakeholders contribute to the programme outcomes when the programme was How did the programme stakeholders contribute to the programme outcomes when the programme was How did the programme stakeholders contribute to the programme outcomes when the programme was

being implemented? being implemented? being implemented? being implemented?

Programme stakeholders were numerous, including UNICEF and various sister agencies and iNGOs in

Karamoja. FAO worked with ERKP to design interventions for improved agricultural practices. WFP WHO

and WFP worked closely with UNICEF on various activities, including policy and strategic planning and

programme development, distribution of guidelines, and the implementation of research to understand

malnutrition in Uganda. WFP supported IYCF training in communities and shared responsibility with UNICEF

for the FSNA. More to the point, various stakeholders contributed to referrals of children with SAM,

including VHTs and iNGOs. The mapping exercise showed that at least 20 district partners understood the

nature of the programme and were actively contributing by screening with MUAC and referring children.

WFP, CUAMM and the MoH were responsible for the training of VHTs and community health workers

(CHEWs) to increase IYCF access for caregivers and referring children for treatment. They provided a

valuable link for the programme to reach into communities. DHTs, nutrition focal persons and DHOs

engaged OTC and ITC staff in IMAM training. They also provided surveillance and job support to improve

performance and reporting.

Facility and community linkages

How are facility and community IYCF components How are facility and community IYCF components How are facility and community IYCF components How are facility and community IYCF components linkedlinkedlinkedlinked? What are the synergies between SFP, ? What are the synergies between SFP, ? What are the synergies between SFP, ? What are the synergies between SFP, OTCOTCOTCOTC and ITC?and ITC?and ITC?and ITC?

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The connection between facility and community appears to be well established, according to the interviews

and surveys that were conducted. Facility and community component linkages were evidenced by regular

meetings, confirmed by responses to questions about engagement between facility and community.

CUAMM brought health staff and VHTs together regularly for knowledge sharing related to nutrition

meetings. This was confirmed by VHTs and facility staff. Among interviewed CSPs (n=34) and health facilities

staff (n=108), the majority (76.5% and 78.7%, respectively) felt the UNICEF nutrition programme

components were well linked to community activities (Appendix I). VHTs were highly regarded by facility

staff and felt a ‘synergy’ as they served to increase screening and referrals for malnutrition assessment at

facilities. Moreover, nearly all OTC/ITCs (97.2%), CSPs (97.1%) and caregivers (96.6%) felt that facility and

community nutrition activities were well linked. In addition, all iNGO organisations in the mapping exercise

reported that they were carrying out malnutrition screening in collaboration with mother support groups,

which led mothers and VHTs and CHEWs in communities. For example, district nutrition staff works with

the Confédération Africaine de Football (CAF) on community supplementary feeding for moderately and

severely malnourished children, creating synergies between health facilities and schools.

‘We ensure that the beneficiaries don’t suffer reoccurrence or get lost to follow-up by use of

VHTs and peer mothers’ follow-ups’ [Regional iNGO].

Linkages between VHTs and communities were strong. In one district, when asked about linkages of VHTs

to the community for screening and referral to the health facilities, they said, ‘We were supported by WFP

and trained by the DCDO’. Others indicated health workers and VHTs and other IPs had ‘taken them through

a series of training sessions’. In Abim, district interviewees indicated they worked ‘hand in hand’ with

CUAMM, which mainly involved distributing Plumpy’nut at the health facilities. They also mentioned

working with WFP, which distributed food to pregnant woman and all children under five years in selected

health facilities (HCIIIs and hospitals). Baylor handled capacity building for both health workers and VHTs

and helped in the transportation of food supplies to hard-to-reach areas.

‘Communities turn up during outreach; VHTs are good sources for providing coordination

with the communities’ [Facility staff, Kaabong].

3.6.3 Increasing knowledge and understanding To what extent were targets and planned results met for increasing knowledge and understanding? To what extent were targets and planned results met for increasing knowledge and understanding? To what extent were targets and planned results met for increasing knowledge and understanding? To what extent were targets and planned results met for increasing knowledge and understanding?

Largely, UNICEF uses established meeting venues to present results at regular nutrition working group

meetings. Other topics of discussion include shared knowledge and lessons learnt, as provided in annual

work plans and shared among partners. Meetings and performance evaluations were shared and discussed

during national meetings. This was evidenced by confirming reports from national and regional IPs and

iNGOs. The goal of four quarterly district nutrition meetings with minutes and action points was not met.

Although the national nutrition working group meetings were held regularly, interviewees indicated that

the national-level meetings were not attended consistently. National-level interviewees also suggested that

the role of the Government was unclear and not timely in the rollout of new initiatives. For example,

interviewees indicated delays at the government level in rolling out both the new IMAM guidelines and the

National Nutrition policy.

DNCC meetings were held quarterly in accordance with programme recommendations. However, the need

for more improved coordination in other areas was unanimous among interviewees. Facility-level

respondents confirmed that there were monthly meetings occurring at the district level. In addition,

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although some districts did not hold them monthly, they indicated that meetings occurred ‘periodically’.

When FSNA reports were released, they were followed up by regular meetings. Some district and national

interviewees felt that the release of the results was not timely. Most district nutritionists felt that

knowledge sharing has been well done and that training and counselling have raised awareness.

The UNICEF ERKP programme was set up to promote evidence-based changes and learning. Findings from

studies were used to improve the quality of nutrition services. For example, UNICEF conducted an

assessment of health staff, and findings from the assessment indicated that nutrition treatment was not

consistent. Thus, refresher training and supporting supervisions at functional OTCs and IPFs were

conducted to improve the quality of programme services and reporting.

Furthermore, improvements in the analysis and consultation/engagement process have been observed. As

outlined previously, national-level ERKP partners, DFID, FAO, WFP and UNICEF meet quarterly to discuss

nutrition interventions, provide updates and strategize. FSNAs were shared and findings discussed during

meetings; the consultant found during KIIs that meetings also occurred at the district level, at which

nutrition data were shared and discussed. Findings were also disseminated to sector groups for review and

action.

FSNA data and influencing

What is the evidence of FSNA’s influencing What is the evidence of FSNA’s influencing What is the evidence of FSNA’s influencing What is the evidence of FSNA’s influencing programme programme programme programme decision making?decision making?decision making?decision making?

UNICEF conducted meetings and disseminated FSNA results, which were followed with dissemination and

development of working groups to discuss findings and determine future action. The audience for the FSNA

included all DHOs, health practitioners, UN agencies and all local and international partners. FSNA results

were shared widely electronically, at national, regional and district levels. In Karamoja, the reports were

regularly discussed at monthly and quarterly sectoral health, nutrition and water and sanitation meetings

as well as with technical working groups at the national level (Appendix III, October 2016 mapping exercise).

Although some at the district level felt they were not released quickly enough to address the issues, they

have been instrumental as a key source of information for all key stakeholders in the region. The FSNA

contributed to numerous reports, such as Strengthening Support to Nutrition in Karamoja, Uganda (2016).

They have provided guidance for the development of strategies and plans for improving resilience in

Karamoja. The important influence of FSNAs on programme decision making was specifically mentioned at

the DHO level that the UNICEF, June 2013- 2014 assessment ‘guided the district to revise other means of

ensuring that the food security is catered for in most home steads.’

3.6.4 Contingency planning The 2014 Resilience Context Analysis (RCA) conducted in Karamoja showed that the main shocks were due

to climate-related issues, such as erratic and uneven rainfall, resulting in dry spells and flooding, leading to

high food prices and food insecurity. FAO supported the establishment of agro-pastoral field schools, which

IPs engaged to conduct Participatory Disaster Risk Assessments (PDRAs) to inform remedial planning and

response for disaster preparedness. FAO and WFP jointly piloted activities on watershed management as

part of a broader roadmap to mainstream disaster risk management in contingency planning. The targeted

watershed catchments were in Kakamongole (Nakapiripirit), Rupa (Moroto), Panyangara (Kotido), Kathile

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(Kaabong) and Awach (Abim).9 The effort was jointly undertaken with FAO coordinated by the Office of the

Prime Minister (OPM) Disaster Risk Reduction (DRR) department.

Reports indicated that DFID and UNICEF were supporting the Department of Disaster Preparedness and

Management in the OPM to establish a Disaster Risk Monitoring System (DRMS). UNICEF contributed to

contingency planning with the SUN Secretariat. Meetings were organised at the district level during the

evaluation.

The connection between UNICEF and FAO was not clearly articulated. UNICEF engaged the International

Institute of Rural Reconstruction (IIRR) to review district emergency preparedness and response plans and

conduct district trainings. They were to review the plans with a view to integrating nutrition into

contingency planning. Although UNICEF did not report any district-level contingency planning meetings

were complete during the implementation period, interviews with DHOs, DNs, and iNGOs suggested there

were ongoing contingency planning efforts. Consultants found that contingency meetings occurred at each

of the levels: national, district, facility and community. The DHO in Moroto indicated that some activities

‘have included instituting field visits to the worst hit areas by multi-sectoral teams, so as to forge the way

forward.’ According to the DHO Nakapiripirit, contingency planning ‘helped the district to give priorities to

the worst hit sub-counties.’ All IPs in the mapping exercise reported to have contingency planning activities

operationalised through joint strategic meetings being organised by the DHOs. Contrarily, the in Kaabong

the DHO said that FAO was not well represented ‘on the ground’. Planning on paper and at the district level,

plans and targets are set, but not implemented. In fact, most of the organisations interviewed believed that

contingency planning and emergency preparedness remained inadequate due to funding constraints.

Some district stakeholders recognized that the District Disaster Management Committees (DDMC), Sub-

County Disaster Management Committees and the DNCC structures were ‘being revived’ through

numerous capacity-building sessions at the district level. IIRR, funded by UNICEF, has trained 156

community-based volunteers in risk monitoring in the 52 sub-counties of Karamoja. Also under

development and due the end of 2016, is an SMS tracking system that would allow real-time reporting

during emergency situations was. The system was said to offer real-time information for coordination and

action. The SMS alert log was designed to provide up-to-the-minute messages to improve coordination of

an information upstream and downstream emergency humanitarian response. It was designed to empower

communities to assess and report conditions. Other strategies for contingency planning involved building

capacity at HCs to handle emergency malnutrition cases, establishing contingency offices on standby and

introducing models for addressing emergency nutrition situations.

9 Resilience and Food Security in Karamoja, 2015, UNICEF, FAO, WFP, UNDP

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Figure 18, Map of nutrition programs interviewed in the districts of Karamoja by sub-region

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3.6.5 Technical assistance TeTeTeTechnicalchnicalchnicalchnical assistance (for system strengthening through CUAMM) to the district local governments, assistance (for system strengthening through CUAMM) to the district local governments, assistance (for system strengthening through CUAMM) to the district local governments, assistance (for system strengthening through CUAMM) to the district local governments,

particularly DHOsparticularly DHOsparticularly DHOsparticularly DHOs————hhhhas this been effective? Are there improvements in the processes (i.e. as this been effective? Are there improvements in the processes (i.e. as this been effective? Are there improvements in the processes (i.e. as this been effective? Are there improvements in the processes (i.e. recordkeepingrecordkeepingrecordkeepingrecordkeeping, , , ,

planning, data and supply management, planning, data and supply management, planning, data and supply management, planning, data and supply management, referral and reporting?referral and reporting?referral and reporting?referral and reporting?

Technical assistance from CUAMM has been effective which was demonstrated by improvements in

numerous areas, including several previously mentioned related to improved outcomes and performance

indicators. CUAMM placed a technical advisor at each of the district health offices in the seven districts to

support the DHTs in providing supervision and mentorship for staff at OTCs. They also advocated with

government for new nutrition positions in the districts, which were in place at the time of the evaluation.

During the programme period, CUAMM trained staff and VHTs and rolled out IYCF promotion and facility-

based IMAM programmes. CUAMM supported FHDs and surveillance in each district and monitored and

supervised nutrition activities.

Interviews with six of the seven DHOs confirmed their involvement in nutrition sensitive and specific

nutrition activities in their districts. Including the implementation of nutrition interventions, training,

coordination and partnership activities, securing information e.g. FSNA. All interviewed DHOs said they

were involved in contingency planning and emergency response for nutrition. Some also were involved in

screening at homesteads and conducting other community programs like sanitation and hygiene.

Comprehensive responses were given to questions about strategies used to increase access to high impact

nutrition interventions for mothers and children. The DHOs were engaged and familiar with activities in

their district.

CUAMM supported quarterly referral meetings, where the VHTs were brought together with other health

workers to review the activities and trends in their areas. During the October 2015 reporting period, UNICEF

met targets for the refresher training of VHTs in Karamoja on the ICCM module. VHTs received refresher

training four times between November 2013 and June 2015. VHT monthly health meetings held at the sub-

county level in the last quarter targeted 90% of the planned monthly health unit meetings. In addition, per

regular quarterly reports, UNICEF had reached and exceeded the 1000 targeted VHTs with training.

Section 3.7 provides detail about reporting around supply management and stockouts. In short, of the sites

offering treatment, those reporting no stockouts had reached 90% and the gap between anticipated

caseload and admissions had dropped considerably by 2016 (Figure 13 in section 3.6.1), exceeding the

programme target. Despite these achievements, supply management and reporting was still identified as

an area needing improvement in numerous reports. Table 4, Reported OTC/ITCs jointly supervised

An assessment of supply management showed that supply chain

management and reporting were in need of improvement. At

the start of the implementation period, UNICEF aimed to

conduct 67 target support quarterly supervisions in the seven

districts of Karamoja to improve elements of this programme

area, including supply management. Reports indicated they

completed about 40 supervisions, meeting 61% of this target in

2014 and 100% from January to June 2015. The 2016 progress report said there were 92 quarterly nutrition

supervision visits, which met 81.4% of the new target of 113.

No. of reported OTCs/ITCs jointly supervised

with DHT and nutrition focal persons

Nov 2013 to Mar 2014 102

Apr 2014 to Sept 2014 116

Jan 2015 to Mar 2015 65

April 2015 to June 2015 65

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Successes included the establishment of district-level data collection for reporting and analysis, which led

to improvements in the quality reporting. The percentage of quality reports from 138 facilities went from

64% in 2013 to 87% of targets in 2016, with all OTC/ITC facilities reporting. Programme data on nutrition

interventions and contextual information were also collected. However, as has been noted in the

limitations section, there were tremendous gaps in data reported.

Training for VHTs and HC staff was conducted to ensure effective referrals to the Therapeutic Feeding

Programme (TFP) and from the TFP to the Community-Based Supplementary Feeding Programme (CB-SFP).

UNICEF ERKP original target was to have 500 VHT members engaged in screening and referral by March

2014. UNICEF exceeded this goal. They had 1,908 active VHTs by March 2014, By March 2015, CUAMM had

trained 2,400 VHTs, 600 shy of the March 2016 target of 3,000.

There was evidence for the need to increase referral and record keeping training. Facility- and community-

level workers differed in terms of whether they received training and which type of referral training they

received. About half (47%) of the CSPs declared they had received some training in referral and treatment

of malnutrition, while only 38% and 26% of them reported having been trained in recordkeeping and

integrated management of childhood illness, respectively. There was significant variation in training by

district, in that respondents in Abim had significantly higher odds of facility staff saying they had been

trained in referrals compared to those in Kaabong. Respondents in Nakapiripirit and Abim had significantly

higher odds of being trained in the integrated management of childhood illness compared to those in

Kaabong. In addition, respondents in Abim had significantly higher odds of being trained in the treatment

of malnourished children compared to those in Kaabong (Appendix I, Table 10).

3.7 Efficiency & VfM Overview of delivery costs across the programme and VOverview of delivery costs across the programme and VOverview of delivery costs across the programme and VOverview of delivery costs across the programme and VffffMMMM

In general, UNICEF ERKP made efficient use of programme resources. Although not all targets were met as

planned, efficiencies related to cost of RUTF and reduced operational costs were achieved, and targets for

supervisions were met. However, there were some issues related to supply receipt and utilisation at the

facility level, as well as challenges related to VHT training.

Efficiency indicates the accomplishment of or ability to accomplish a job with a minimum expenditure of

time and effort. VfM was a measure used to determine efficiency. VfM was defined as ‘the optimum

combination of whole-of-life costs and quality (or fitness for purpose) of the good or service to meet the

user’s requirement’ (HM

Treasury, in DFID 2013). In this

report, the VfM of the UNICEF

nutrition intervention in

Karamoja was assessed by

examining the economy (e.g.

cost inputs), efficiency (e.g.

productivity of inputs) and

effectiveness, e.g. qualitative and

quantitative measures of

increase/decrease in intended

Figure 19, Value for money framework,

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outputs, per the framework in Figure 19. In this review of VfM, we focus specifically on two components of

the intervention: RUTF delivery and training.

The overall ERKP allocation in October 2013 was £33.5 million for WFP, UNICEF and FAO (Table 5).

Additional funds were allocated to respond to a crisis and for water management programming. The largest

component of the UNICEF ERKP nutrition program was IMAM supply procurement and services. With

regards to the RUTF delivery, the unit cost of food and delivery of RUTF services per child treated for SAM

decreased from the initial business case proposal figure of US$56 to US$53 (2016 actual cost) (Source:

UNICEF ERKP review). The cost reduction was driven by the decrease in the unit cost of RUTF in the global

market (-22%). This led to substantial cost savings for UNICEF, which amounted to £ 0.07 million over the

total of £2 million that was initially budgeted for the purchase of RUTF. The saving was invested to buy

additional RUTF stocks to continue the programme until March 2017.

Further savings arose from the devaluation of the Ugandan Shilling against the US dollar (38%). This led

to a reduction in the actual cost of the operations, including the ones related to the delivery of RUTF.

The latter amounted to £0.16 million over the total £2 million budgeted for RUTF.

Table 5, ERKP overall programme allocation

OVERALL PROGRAMME ALLOCATIONOVERALL PROGRAMME ALLOCATIONOVERALL PROGRAMME ALLOCATIONOVERALL PROGRAMME ALLOCATION

PeriodPeriodPeriodPeriod Funds allocated Funds allocated Funds allocated Funds allocated SourceSourceSourceSource PeriodPeriodPeriodPeriod GOALGOALGOALGOAL AGENCYAGENCYAGENCYAGENCY

October 2013 £33,500,000 DFID 2013/4–2015/6 Increase resilience WFP; UNICEF; FAO

£5,000,000 Internal Risk Facility Not specified Respond to crisis

May 2015 £4,345,744 ICF March 2017 (broader

programme

extended)

Integrated water

management

FAO; GIZ

Total Total Total Total £42,970,744

Info mostly gathered by: 2013–2015 annual review

Supply management

Although challenging, efficient supply management was critical to the integration of the IMAM programme

into the government facilities. UNICEF reported significant improvement in supply management with close

to zero stockouts of IMAM supplies, with timely reporting recorded in more than 90% of facilities. Data in

Table 6 were derived from progress reports, which show that the anticipated targets for supply

management were achieved for six months, between January 2015 and June 2015. The percentage of

facilities without stockouts was at 88.6% the first half of 2015 and reached 87% by September.

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Table 6, Regional indicators for supply management (From third to fifth report)

Yet still, 50% of individuals interviewed at facilities said that they were challenged by stockouts and lack of

storage space. Each type of facility indicated the challenges they had faced. Not surprisingly, HC III had the

highest number of supply- and transport-related issues. It had continued problems with transporting

supplies from the district to the facility. IPs were also to have provided transportation, which was confirmed

with IPs. Nonetheless, transportation remains a problem.

Keeping supplies in stock is challenging. Of 118 facility-based respondents, almost half of the staff indicated

that supply delivery issues and stockouts were the main issues. Figure 20 shows responses from 112 facility

staff when asked an open-ended question about challenges with RUTF supply. Of those reporting, 48% said

they had challenges obtaining RUTF supplies. Storage was the next most frequently cited difficulty. Storage

was the second most frequent complaint; many had small storage facilities, problems with rodent

infestation and short expiration dates on supplies. Only 15% of respondents indicated they had problems

with beneficiaries selling RUTF. As the sample was representative and not randomly selected, little

generalisation can be made about these issues. However, small storage space and the inability to store

more than a week or two of supply are challenging to health facilities. Rodent infestation was also a large

element of storage-related issues and supply loss.

Misuse of supplies was the least mentioned challenge, although caregiver misuse was mentioned. About

20% of caregivers admitted that family members consumed RUTF due to hunger and food insecurity in the

household. Sharing RUTF with other family members was mentioned by the caregivers as one of the main

challenges they see as related to the success of the programme, together with some shortages in RUTF and

perceived ineffective targeting of most-in-need children.

Reporting periodReporting periodReporting periodReporting period Supply Management IndicatorsSupply Management IndicatorsSupply Management IndicatorsSupply Management Indicators

OTC/ITCs using stock cards

for RUTF stock monitoring;

Target 100%100%100%100%

Health units without

stockout of RUTF; Target

100%100%100%100%

OTC/ITCs making timely

requests for RUTF

suppliers; Target 100%100%100%100%

N % N % N %%%%

January 2015January 2015January 2015January 2015––––March 2015March 2015March 2015March 2015 323/324 99.7% 287/324 88.6% 262/303 86.5%

April 2015April 2015April 2015April 2015––––June 2015 June 2015 June 2015 June 2015 323/324 99.7% 287/324 88.6% 262/303 86.5%

April 2015April 2015April 2015April 2015––––September 2015September 2015September 2015September 2015 NA NA 97/112 87% 190/200 95%

May 2016May 2016May 2016May 2016 NA NA 308/339 91% 170/172 98.8%

Figure 20, Facility-reported challenges in supplying RUTF to caregivers

48%

34%

19%

5%

0%

10%

20%

30%

40%

50%

60%

% Respondents (n=112)

Facility-reported RUTF supply chain challenges

Supply Delivery Storage Transport Misuse

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Secondary data on stockouts were severely limited by missing data and poor recordkeeping. As a case study

to examine stockouts, we drew on the available data from Moroto for 2013–2016. Figure 21 provides the

mean number of stockouts for Coartem, zinc and amoxicillin across facilities within Moroto, for both facility

and village stocks. Consistently across time, the highest stockouts were in facility supplies of Coartem, with

the highest mean stockout reaching 31 days in the third quarter of 2015. In all other months, facility

Coartem stockouts were below 15, with stockouts of other supplies consistently lower than that of VHT

Coartem. Also noteworthy was the seasonal pattern of stockouts: in each year, there was a mid-year spike

in stockouts across categories of supplies. In 2013 and 2014, this spike occurred in the second quarter. In

2015, the spike occurred in the third quarter. Unfortunately, because the data were only available in

Moroto, we were not able to examine how between-district variation in stockouts was associated with

SAM/MAM. By linking these data with quarterly OTC/ITC data, we also examined some inferential models

to assess whether stockouts were associated with cure, death and default rates at facilities. We did not find

any significant associations. Importantly, however, as with our VHT and supervisions analysis, we were

restricted to data from the 17 facilities recorded in Moroto, which severely limited statistical power.

Figure 21, Average stockouts in Moroto by quarter Q2–Q4 2015

Plans to address staff turnover

Evidence of designing training and mentoring plans to address high staff turnover in KaramojaEvidence of designing training and mentoring plans to address high staff turnover in KaramojaEvidence of designing training and mentoring plans to address high staff turnover in KaramojaEvidence of designing training and mentoring plans to address high staff turnover in Karamoja

UNICEF designed staff training and mentoring plans to address high staff turnover. UNICEF supported IPs

(CUAMM and IIRC) to conduct health worker job supervision and training. Monitoring surveillance and

supervision of nutrition activities for IMAM, IYCF and Child Health Days would reduce staff turnover and

support IMAM services. It was unclear what evidence had supported this approach. There continue to be

staffing issues; often these are administrative or financial. For example, in May 2016, GoU had not signed

to release funds for staff. UNICEF filled a void in staffing by engaging CUAMM to recruit community health

workers and midwives to address the shortfall, with the understanding they would eventually be absorbed

010

20

30

Num

ber of Sto

ckouts

20131 20141 20151Time in Quarters

VHT Coartem Village Coartem

VHT Zinc Village Zinc

VHT Amoxi Village Amoxi

Average Stockouts in Moroto by Quarter,Second Quarter 2013-Fourth Quarter 2015

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into the district payroll. During interviews, facility staff expressed their concern. One person said that at

times they had been desperate and used cleaning staff to complete reports.

Figure 22, VHT supervisions in Moroto - Q2 2013–Q4 2015

Source 2. Data for this graph available in VHT graph results file

The most complete data set on VHT support supervisions was provided by Moroto, providing a small case

study. Figure 22 shows the average number of VHT supervisions during the intervention period in Moroto.

The average number of VHTs across facilities in Moroto increased at a relatively slow pace. There was even

a decline in some quarters, with a low of 23.8 and a high of 38 VHTs. Increases in supervisions were more

marked, rising from a low mean of three in the first quarter of 2013 to a high of 38 in the third quarter of

2015. The number of supervisions appears to have been less steady across the period compared to the

number of VHTs.

3.8 Sustainability Sustainability was evidenced by the sustained results of reduced malnutrition and stabilisation of GAM;

continued support from all stakeholders; and emerging national, regional, district and community

ownership of nutrition priorities and activities. Malnutrition had much variation over time, but it was

relatively stable in Karamoja, yet below targets. Interventions that built capacity for sustained results

occurred across the entire programme, these involved various strategic efforts; gaining ownership and

support of the national and district government-, facility staff- and community-level implementers.

Observed were UNICEF ERKP efforts to strengthen national support for contingency planning, which

included development and release of strategic resiliency plans. District dissemination and training was

under development at the time of the evaluation. Coordination with the DHOs and other government

implementers was building stronger health systems. Knowledge sharing through the FSNA, if continued,

will bear much benefit. UNICEF has been involved in contingency planning, and iNGOs have structured

contingency plans that contain messages about nutrition and emergency preparedness (Appendix III).

010

20

30

40

Number of VHTs

20131 20141 20151Time in Quarters

Total VHTs VHTs Reporting

Supervisions

Average VHTs & Supervisions in Moroto by Quarter,Second Quarter 2013-Fourth Quarter 2015

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To build local capacity at district, facility and community levels, UNICEF ERKP developed IMAM capacity

through training of health workers. IYCF counselling strategies and training were building local capacity to

inform and educate beneficiaries of best practices. IYCF counselling was widespread across all districts via

the VHT network. Continued training from various players should sustain the trend towards informing and

referring beneficiaries, and building local capacity.

3.8.1 Ownership What is the ownership of programme activities by government partners What is the ownership of programme activities by government partners What is the ownership of programme activities by government partners What is the ownership of programme activities by government partners and/or other partners?and/or other partners?and/or other partners?and/or other partners?

Evidence was obtained that showed various levels of nutrition and food security ownership across the

sectors. Interviews revealed a national level of ownership of nutrition, to be evidenced by their engagement

in policy reform and the integration of nutrition services into the basic health package. For example, the

Mwanamugimu Nutrition Unit, a government national referral partner, maintained a pool of more than 30

national trainers and supervisors. They were engaged by UNICEF to provide treatment and support for

malnourished children, and they provided all 13 referral hospitals with technical support supervision

quarterly.

At the district level, however, feelings were mixed about government involvement and ownership. In

Moroto, for example, the district and facility staff mentioned the forming of multi-sectoral teams to go to

hardest-hit areas, to ‘forge the way forward’. While district respondents felt ownership at the district level

was high, it could be strengthened. Only 58.3% of facility staff said that government was involved in

activities, and less than half of VHT respondents felt that government was involved (Table 7). In fact, despite

CUAMM’s engagement of DHOs, the perception was low regarding government involvement. Almost 18%

of facility staff and 15% of VHTs indicated government involvement was poor or non-existent.

Table 7, Perceptions about government's level of ownership/involvement

Facility Staff Community Service

Provider

N=108 % N=34 %

Fair 26 24.10% 13 38.20%

High 63 58.30% 16 47.10%

Poor 14 13.00% 3 8.80%

No level of

ownership/involvement

5 4.60% 2 5.90%

Ownership and involvement at the facility level was relatively high. Facility staff provided a list of activities

in which they were involved, demonstrating an element of commitment to nutrition. However, as was

common knowledge, they have very limited time and resources.

The mapping exercise revealed connections between iNGOs in the Karamoja region and the UNICEF

activities, which involved training to contribute to nutrition goals and IMAM and IYCF activities. Most IP

organisations interviewed that were working in Karamoja had invested in activities for sustainable capacity

building. There was at least one IP per sub-county (Figure 19, page 46). IPs practiced cost sharing while

implementing activities aimed at changing the attitudes of local people, especially to reduce reliance on

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NGOs. They promoted agricultural and other practices that confront food insecurity with local solutions.

Mercy Corps, for example, offered better seed and mechanised farm implements at 50% less than the

market price, and they also linked local communities with good agricultural supplement suppliers to

increase livelihood opportunities.

Further to sustainability, IPs carried out deliberate planning with local districts’ leadership to devise plans

for programme absorption when the existing funding comes to an end. The local governments have

responded positively to this effort, and they play a leading role in the mobilising and forming of VHTs that

work collaboratively with IPs on diverse programmes. IPs also work with districts on a continuous basis to

review their strategic plans on nutrition activities to establish long-term emergency needs. The Caritas

Kotido Diocese reported to be setting up a farming institute aimed at training local Karamoja populations

in agriculture and other nutrition-related courses. The majority of organisations reported a sustained

fundraising effort through grant writing. The WFP was undertaking a review process of their five-year

country strategy that prioritises nutrition programming in the Karamoja region. Some organisations have

initiated women savings groups, while others have turned mother care groups into loans and savings

associations. These groups continue to stand on their own even when a project closes.

Chapter 4 Lessons Learnt 1 In the effort to fill the gap between emergency assistance and development aide, UNICEF ERKP utilised

their strategic advantage to support improvement in governance and the integration of the IMAM

programme into the mainstream health system using upstream and downstream strategies.

2 UNICEF ERKP had a weak theories of change model. It did not clearly define the causal chain, and

assumptions were missing from the log frame.

3 Although gender was tracked, there was little evidence that gender-specific issues were targeted with

interventions.

4 GAM stabilised during the intervention period to an average of 12.4%. Moreover, it was agreed that

the GAM target of less than 10% was not realistic, considering that UNICEF alone will not be able to

reduce GAM. (See change request to the Karamoja Resilience programme log frame, 2015).

5 At the national level, UNICEF ERKP has been effective at leveraging relationships to build support for

nutrition policy change, strategic planning and integration into the national system. Strengthening

relationships at the district level is needed.

6 Contingency planning was the least developed of initiatives and was under development. Contingency

planning was in the process at the end of the intervention period.

7 Research into causes of malnutrition was conducted and guidelines developed and implemented at the

district, facility and community levels. Knowledge sharing around the FSNA was efficient, but it needs

improvement and a focus on quality of data-collection inputs and analytic outputs.

8 The multi-faceted nature of GAM reduction requires appropriate performance measures and targets,

as well as a clear understanding of the impact of each initiative. The appropriate use of measures to

assess intervention impact, such as VHT training, was woefully absent, whereas it could guide VHT,

CHEW and mother support group efforts with more precision, for example, understanding how and

why certain interventions were effective and dedicating resources to enhance them.

9 Through careful analysis of the available data, this evaluation found that CUAMM training of health

workers and VHTs was associated with better cure rates and lower death rates.

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Chapter 5 Recommendations The main purpose of this brief is to provide an outline of the emergent key considerations, principles and

priorities for action to address undernutrition. The remainder of this report includes only key

recommendations, which are organised by the research areas of the UNICEF ERKP evaluation. These include

ways to improve the multi-sectoral approach and coordination to move from stabilisation to improvement

in direct nutrition interventions. This is followed by a summary of conclusions.

5.1 Relevance and appropriate 1. Design Design Design Design programme programme programme programme modelsmodelsmodelsmodels for all future focus areas to improve resilience in Karamoja.

Enhance/construct the log frame to include inputs, outputs, measurement indicators, expected

outcomes and assumptions for each element in the causal chain. UNICEF efforts to improve hygiene

should clearly link with WASH and livelihood initiatives.

2. Enhance communicationEnhance communicationEnhance communicationEnhance communication,,,, a need identified in section 2.2.2 of the Strategic Plan for Resilience in

Karamoja. Create consistent ERKP nutrition messages that link UN sister organisations, iNGOs, and

nutrition activities (see #3 below). The primary donor should consider meeting with all agencies

together rather than independently to nurture an informed and combined effort. Develop systems to

maintain regular communication among stakeholders to share nutrition resilience messages.

Integration of the ERKP communication strategy across all ERKP participating agencies so they work

efficiently and effectively together toward shared accountability (2.1.2), e.g.. Also, integrated message

should be designed for the workshops planned with CHEWS and VHTs (see section 2.2.3 of the plan).

5.2 Effectiveness 3. Close the gap between nutritionClose the gap between nutritionClose the gap between nutritionClose the gap between nutrition----specific and nutritionspecific and nutritionspecific and nutritionspecific and nutrition----sensitive programmessensitive programmessensitive programmessensitive programmes - As a leader in nutrition

working closely with the MoH and IPs, UNICEF could play a greater role in organising collaborative

multi-sectoral efforts that fill the gaps between nutrition-specific and nutrition-sensitive initiatives.

Maximize findings from IIRR linkage assessment to identify and refer caregivers of children with chronic

SAM for resilience building, addressing recurrence at the root cause. While training facility staff and

when designing VHT and CHEW interactions, consider training that helps providers understand when

there is a need to connect the two sectors and where are the appropriate resources. Measure chronic

cases referred in the log frame and the performance database.

4. StreamlineStreamlineStreamlineStreamline Nutrition Information Nutrition Information Nutrition Information Nutrition Information ---- Harmonisation of training/programme implementation records for

each sub-county would strongly improve the potential for knowledge exchange in the future. Data

tracking should be enhanced to include training records, i.e. number of community health worker and

VHTs trained for each sub-county.

5. Recognise hRecognise hRecognise hRecognise highly performing ighly performing ighly performing ighly performing ffffacilities acilities acilities acilities ---- These should be recognised and studied with a view towards

identifying best practices that contributed to their above-average reporting performance. If they are

similar in structure to poorly performing sites, explore the reasons the facilities were doing well and

consider testing their practices when developing the road map for Health Systems Strengthening for

Facility Based Nutrition Services. Where best practices are identified, utilise staff for training sessions

in their districts. Learn about their strategies, and apply learning to best practice knowledge to transfer

to staff at other facilities.

6. Engagement community Engagement community Engagement community Engagement community ---- UNICEF has largely focused on inpatient care, and strengthening knowledge

and awareness around nutrition. Low community engagement has been shown to result in low

coverage. The next phase should involve adequate community components to reach into hard to reach

communities. The CMAM Forum Technical Brief (August 2014) suggests that successful initiatives are

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those that emphasize ‘community owned’ rather than ‘community-based’ interventions.10 A

community approach necessitates active intervention and a multi-dimensional process that includes a

dialogue to learn from community. This may include formative studies, such as those carried out on

community attitudes or practices. Successful community approaches involve community in the

decision-making process, including allocation of community resources.

Nutrition stakeholders expressed confusion and concern about tensions around issues related to

capacity development and activities of the VHTs and CHEWs. The Ministry of Health has planned

activities for 2017, which include: development of training manuals, standard operating procedures

and manual training for CHEWs. They also seek to identify and accredit training institutions for CHEWs,

recruit and train 1500 (10%) CHEWs, and continue to monitor and supervise the VHT activities.

Furthermore, the MoH is also seeking resources for development of the CHEW strategy. This could be

an opportunity for a UNICEF and MoH partnership to harmonize VHT and CHEW scale up. Address

tensions between stakeholders with collaborative facilitated meetings. Meetings might involve using a

nominal group technique to allow the free sharing of ideas and integration in group decision making.11

It promotes ownership through inclusive contribution to problem solving and can be an opportunity to

identify champions of nutrition. This next phase can ensure nutrition is an element of maternal and

child health education, screening and referral from VHTs and CHEWs.

5.3 Efficiency6 Targeted InterventionsTargeted InterventionsTargeted InterventionsTargeted Interventions –––– Reduce costs and improve efficiency through more targeted multi-sectoral

interventions. With the introduction of tracking systems discussed to improve surveillance and district

specific information, challenges associated with the Karamoja region’s diversity in terms of contextual

factors that impact nutrition, may be addressed more efficiently. Improve efficiency of both nutrition

sensitive and nutrition specific intervention planning, through the development of livelihood and

nutrition profiles for each district. Use the profiles as a framework to design targeted interventions for

each sub-county or livelihood zone. A desk review and stakeholder interviews could easily inform a

nutrition and livelihood profile to better target interventions and provide more value for money. Map

highly performing facilities in the nutrition profiles to enhance understanding of common

environmental influences on performance. Design community interventions that address local issues

and also consider under supported sub-counties.12 7777 Regular Health SystemRegular Health SystemRegular Health SystemRegular Health Systemssss DataDataDataData –Attention should also be paid to the analysis of FSNA nutrition data.

Analysis needs to be supported by an analyst who recognises data issues and corrects for these to

derive meaningful, accurate results for programme planning. Data for the entire region should be

centralised, consistently formatted and catalogued with a codebook containing detailed information

about how each indicator is measured or calculated. Relatedly, nomenclature should be consistent

across sites and time. For example, naming a facility HC 2 in one data file/tab and the same facility HC

II in another makes harmonisation of data points more difficult and thereby reduces efficiency when

analysing data. Using a centralised calculation and verification of rates (for example, by asking two

10 Gray, N., Bedford J., Deconinck H., Brown R. CMAM Forum, Community Engagement: CMAM Forum Technical Brief, August

2014 retrieved 24 Jan 2017, http://files.ennonline.net/attachments/2181/Community-Engagement-Technical-Brief-August-

2014.pdf 11 Gaining Consensus Among Stakeholders Through the Nominal Group Technique, CDC (2006)

https://www.cdc.gov/healthyyouth/evaluation/pdf/brief7.pdf The Nominal Group Technique, University of Arkansas Division

of Agriculture

https://www.uaex.edu/support-units/program-staff-development/docs/NGTProcess%2012.pdf 12Identified in this evaluation: North - Kacheri, Kotido; Panyangara and Nyakwae; Abim. South –Rupa, Moroto, Lokopo, Iriiri.

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analysts to enter data and calculate rates separately and then comparing results) from a purpose-built

statistical software package would facilitate knowledge exchange and data sharing more efficiently and

effectively. ((((Utilization of a statistical software package is recommended.) Furthermore, proper

programming would allow the development of a system for automating annual reporting on indicators,

which would allow more consistent tracking over time, improve quality of reporting and reduce time

spent conducting calculations. Automation could be considered during the quality-improvement

activities outlined in ‘Strengthening Support for Nutrition in Karamoja’ (2017).

8 MeasureMeasureMeasureMeasuressss –––– Impact on stunting would not be evidenced in the short-term, it could be measured

approximately every two years. This would allow time needed for interventions to impact stunting and

would improve efficiency and contribute to improved value for money. Also, conduct another SQUEAC

survey to determine coverage in 2017.

Note:Note:Note:Note: When using Admissions as a target for VHTs associated with a facility, the indicator should be

weighted to cases of malnutrition. That is, the ratio of cases to VHTs is the number of new admissions

per VHT for that facility. Also worth noting, a target of 33% increase anticipated for SAM enrolled cases

may be overly ambitious for a single year and should consider decreases in SAM due to comprehensive

ERKP strategies

5.4 Sustainability 9 Enhance programme sustainabilityEnhance programme sustainabilityEnhance programme sustainabilityEnhance programme sustainability by providing support for DNCC development and joint sustainability

plans that clearly highlights government and community roles, includes clear budgetary alignment to

create a sense of ownership right from the beginning, as recognized during the Karamoja Nutrition

Sector stakeholders meeting. Funding regular meetings and supporting further supervision and training

of DNCC and SNCC should strengthening leadership and governance for the multi-sectoral approach to

building resilience. Conducting annual reviews with IPs to assess performance, would offer

opportunities to receive feedback and determine areas needing improvement.

5.5 Equity

10 Utilize community strategiesUtilize community strategiesUtilize community strategiesUtilize community strategies to cultivate better coverage of hard-to-reach populations. Community-

based management of acute malnutrition (CMAM) has been an effective model used in other sub-

Saharan countries, such as those implemented in Malawi and Ghana to extend service coverage and

improving treatment outcomes.13

13 Maleta K, and Amadi, B. Community-based management of acute malnutrition (CMAM) in sub-Saharan Africa: case studies

from Ghana, Malawi, and Zambia Food Nutr Bull. 2014 Jun;35(2 Suppl):S34-8

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Conclusions In conclusion, the findings from this evaluation could inform nutrition resilience programmes aimed at

engaging UN-, iNGO-, district- and facility-level implementers. Furthermore, it specifically informs multi-

sectoral approaches towards closing the gap between nutrition-sensitive and nutrition-specific initiatives.

Specifically, it could prove useful for promoting improvements in dietary diversity and meal frequency.

Opportunities will arise as contingency planning emerges to establish cross-sector interventions that can

be measured in the SMS tracking system and shared between partners.

The association between facility IYCF and IMAM training and several improved performance indicators is a

strong indicator that the approach is effective. During this exercise, facilities providing quality reporting

were identified. Achieve improvement and potential for ownership at the facility level. Site staff should be

recognised, studied and engaged to champion the nutrition training in their districts.

The multifaceted nature of GAM reduction requires appropriate performance measures and targets as well

as a clear understanding of the impact of each initiative. It also requires the appropriate use of measures

to assess the impact of community interventions on nutrition outcomes in Karamoja. For example, there

are numerous players soliciting community health workers, but little is tracked in terms of what training

they have received. This report touches on that topic, but it should be explored further.

Knowledge sharing around the FSNA is efficient, but requires more focus on quality of outputs. Numerous

data-related issues arose during the course of the evaluation, such as those related to data completeness,

consistency, organisation and analytic accuracy. These were explored and included in Limitations and

Lessons Learnt, and they could inform data systems to improve data reliability, ensuring quality data are

used for information sharing.

Linkages between livelihood nutrition sensitive and nutrition-specific treatment programmes are weak.

These deserve attention, given the association between livelihood referral and cure and death rates at

facilities.

The nutrition programme would benefit from clearly outlining theories of change models around new

multi-sector initiatives. There is opportunity for improvement around programmes in terms of ensuring

equity and strengthening messages around dietary diversity, meal frequency and hygiene. These might be

achieved by conducting a more specific study into barriers and bottlenecks and building an understanding

of proper IYCF practices by combining programmes into multi-sector approaches, such as school education

and livelihood programmes.

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Table 8, Overall findings and conclusions – Interventions from November 2013 to March 2016

Expected Results as in Expected Results as in Expected Results as in Expected Results as in

LogframeLogframeLogframeLogframe

Log frame Performance IndicatorsLog frame Performance IndicatorsLog frame Performance IndicatorsLog frame Performance Indicators / baseline/ baseline/ baseline/ baseline 2013 Targets for 2013 Targets for 2013 Targets for 2013 Targets for

Q1 2016Q1 2016Q1 2016Q1 2016

ResultsResultsResultsResults

Expected Results #1

Improved access for

mothers and children to

high impact nutrition

interventions in

Karamoja

1. % mothers EBF children 0-6 mo. / 26-76% 88% Above 90% in all districts except Moroto 87% EBF – (May

2016 report)

2. Min Dietary Diversity (MDD) % children <5 receiving

food from 4 or more food groups / 10-35% (2013

original) - Correction 30-50% (live log frame - FNSA,

May 2012)

15% increase (5%

per year over 3

years)

December 2015 (ERKP Annual Review 2016): Increase 5.6%

3. Minimum meal freq. % of children 6-23 mo.

Fed 3-4x per day / baseline not available in proposal

5% annual

increase

39% (March

2017)

MMF in 2014 was at 42% in 2014, 36.5 in 2015 and Sept

2016 log frame indicates “Target is based on the current

MMF” for June 2016, which is at 34%.

4. No. Health workers trained / 0 700 89

5. % pregnant women who took iron 90 days during

pregnancy / <3%

6%

Reported iron supplements for pregnant women at 90%

receive during 1st ANC visit (HMIS); baseline was reported at

3% of pregnant women receive (HMIS)

6. % children 6-59mo. Receiving 2 doses of Vitamin A

/ 56 to 90%

National target

80%/Karamoja 9

Karamoja targets met at 90%

7. VHT members engaged in screening, referral, &

follow-up / 0

3000 by March

2016

VHTs trained, 1,908 in 2015 and increased to 2,400 by June

2016

8. Treatment of SAM children recovered (cured) /

>60%

75% of SAM

burden

disaggregated

male/female

5,385 children with SAM enrolled (not disaggregated) target

33% increase in 2017; average cure rates 71.57% from

performance reports (January, August and September of

2014, August 2015, and May, June, July, and September of

2016 the cure rate exceeded 70%.)

9. Performance on SPHERE standards / baseline

a. 77% cure rate

b. 21% default rate

c. 3% death rate

>75% cure rate;

default rate 15%;

death rate <10%;

Death rates averaged 2.53% per performance reports. 2012

SQUEAC survey put coverage at 50% no new coverage data

since; default rate 18% (decreased from 2013 rate of 21%;

non-response 10.1% average

Conclusions: EBF was an achievement, exceeding the national average at 90%; Targets for increase in DD and MMF were not met during

period under evaluation. In fact, MMF appears to be on a downward trend. Additional efforts are planned for 2017. The assumption that

other activities would influence these indicators should be revisited; Iron uptake efforts for pregnant women at 4 ANC visits and VitA uptake

for children 6-59 mo., far exceeded target and the national average. VHT training targets not met; scale up for improved referral and follow-

up needed. Health worker training targets were not met; but show improvement in cure rates associated with facility staff training. SAM

children enrolment is not consistently disaggregated by gender by UNICEF. A target of 33% increase anticipated for SAM enrolled cases

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Expected Results as in Expected Results as in Expected Results as in Expected Results as in

LogframeLogframeLogframeLogframe

Log frame Performance IndicatorsLog frame Performance IndicatorsLog frame Performance IndicatorsLog frame Performance Indicators / baseline/ baseline/ baseline/ baseline 2013 Targets for 2013 Targets for 2013 Targets for 2013 Targets for

Q1 2016Q1 2016Q1 2016Q1 2016

ResultsResultsResultsResults

may be overly ambitious for a single year and should consider decreases in SAM due to comprehensive ERKP strategies. More community

engagement and health facility training for scale up is needed to meet this goal; Conduct another SQUEAC survey to determine coverage in

2017. Moderate stabilization of GAM at approximately 12.4% with a range of between 8% and 14% between 2013 and 2015; UNICEF did

not meet their targets for coverage assessments; SQEAC in 2012 and LQAS in 2015. However, to goal to stabilize GAM was met.

Expected Results #2

Improved coordination

and partners’

interaction for nutrition

services and capacity to

respond to /increase /

change in needs

1. Timely reporting rates (# facilities) reporting rates

for nutrition / 64%

80%

By 2015, achieved 70% of engaged facilities achieved with

target of 90% - 126 out of 138 health facilities with IMAM

submitting timely reports. By Q1 2016 reach was 87%

2. Operational research conducted and disseminated

/ 0

Four periodic

analytical of

nutrition info

data at district

level and

disseminated

None have been completed thus far. Agreement with Centre

for Humanitarian Change – reviewing surveillance system in

2017

3. No. health units reporting no stock out of RUTF in

Quarter / 0

100%

91% had no stock outs by 2016 (IP reports)

4. Karamoja MS Nutrition Strategy / 0 Multi-sectoral

Nutrition

Strategy

Karamoja Multi-Sectoral Strategy- resilience 2015-2020 –

completed June 2015

IIRR report on Social protection model to enhance

Conclusions: Targets for timely reporting for nutrition were exceeded. Health units reporting no stockout did not meet target of 100%;

reporting is inconsistent, e.g. Moroto is only district that provided usable stock out data for analysis. Improvements in stockout reporting

are needed in order to achieve reporting accuracy. UNICEF engaged Nutrition Focal Person to plan for improvement. UNICEF has done well

to establish data collection for surveillance systems through health facilities, which should now be strengthened through contract with IIRR.

They also completed multi-sectoral strategy by Q3 of 2016.

Expected Results #3

Increased knowledge

and understanding on

the underlying causes

of poor nutrition in

mothers and children in

Karamoja and secure

timely and quality

information on

1. No. periodic analytical nutrition data district

distribution to nutrition sector groups / 0

One FSNA report

released and

disseminated

FSNA 2014 completed and report released by MoH;

dissemination evident at districts and facilities. 2015 and Q1

2016 targets not met, per June 2016 annual report.

2. No. quarterly district nutrition meeting min / 0 district

meetings=5

Target not met; 7/1 district minutes/action points

3. Number FNSAs conducted/disseminated / 3 (2012) Annually

conducted = 2

Dissemination not achieved

U N I C E F E R K P E n d o f P r o j e c t E v a l u a t i o n P o l i c y B r i e f D e c e m b e r 2 0 1 6

63 | P a g e o f 6 4

Expected Results as in Expected Results as in Expected Results as in Expected Results as in

LogframeLogframeLogframeLogframe

Log frame Performance IndicatorsLog frame Performance IndicatorsLog frame Performance IndicatorsLog frame Performance Indicators / baseline/ baseline/ baseline/ baseline 2013 Targets for 2013 Targets for 2013 Targets for 2013 Targets for

Q1 2016Q1 2016Q1 2016Q1 2016

ResultsResultsResultsResults

changing needs for

improved programming

Conclusions: Significant progress has been made in establishing the surveillance and reporting system. However, targets were not met for

annual FSNA reporting, e.g. 2014 results distributed in 2016. The goal of biannual reports may not be reasonable due to the required review

and dissemination requirements. The Centre for Humanitarian change is contracted to identify opportunities for improvement in FSNA

system. Create district-level matrix with contributions from all sectors to understand and better target interventions in each district and

save costs.

Expected Results #4

Strengthen Contingency

planning and

emergency

preparedness for

nutrition within the

Karamoja region

1. No. district teams trained in contingency planning,

preparedness & response / 0

No. = 7 No of district plans with nutrition interventions integrated,

budgeted for and funded achieved. [Update: March 2017

UNICEF reported contingency plans reviewed in 7 districts)

DNCC orientations took place in 4 districts.

2. Comprehensive coordinated response plan

developed / 0

No. = 7 Target not met - Contract with IIRR in place since March 2015.

Dec 2015=0 achieved; Target seven districts in 2017.

Note: Joint Nutrition Strategy was approved; Action

plans; operational plans; M&E Frameworks were pending

by mid-2016.

Conclusions; Contingency planning has moved relatively slowly. No 2013 targets were met in 2015 or 2016 according to log frame. UNICEF

reports indicate district teams have not been engaged. District teams were under development during evaluation; Investigation revealed

contingency planning activities had been rolled out to engage district level teams and iNGOs - reported that they have plans. Target for

2017 is training seven districts in contingency planning to integrate IMAM into contingency planning. This includes developing an sms

tracking system; iNGOs have been engaged. Despite this progress, district teams had not been trained in contingency planning.

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Appendix I, Supplementary Tables Table 9, Respondent Characteristics

Facility level characteristics FacilityFacilityFacilityFacility %

Level of Health Facility

Health Center II 37.0%

Health Center III 38.0%

Health Center IV 12.0%

Hospital 13.0%

Facility Services OfferedFacility Services OfferedFacility Services OfferedFacility Services Offered N=108 %

Nutrition assessment 97.2%

Nutrition Counselling (IYCF) 96.3%

Provide ReSoMal 38.9%

Provide RUTF 88.9%

Provide micronutrients (Vitamin A, Iron etc) 69.4%

Referrals for clinical support 71.3%

Referrals to livelihood program 25.0%

Referrals to supplemental food programs 75.9%

Other 2.8%

Characteristics and Respondent Reported Services Seeking, CaregiversCaregiversCaregiversCaregivers

% (n=119)

Level of Health Facility where Caregivers were interviewed (n=119)

Health Centre II 28.6%

Health Centre III 34.5%

Health Centre IV 16.0%

Hospital 21.0%

Came to seek services at facility by

Referred from by VHT 66.4%

Referred from MSG 11.8%

Told about the health facility by a friend 21.0%

Health facility is nearest to my home 45.4%

All health services are assured at this health facility 9.2%

Other (specify) 19.3%

Child benefitted from nutrition program being implemented through

Community child health days 26.9%

Out-patient care services 81.5%

In-patient care services 26.9%

Child has not benefited 0.8%

Other (specify) 0.8%

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Table 10, Characteristics of sampled facility and community level implementers as well as beneficiaries

Evaluation population characteristicsEvaluation population characteristicsEvaluation population characteristicsEvaluation population characteristics NNNN %%%%

Facility level Implementers (N=108)Facility level Implementers (N=108)Facility level Implementers (N=108)Facility level Implementers (N=108)

Cadre Cadre Cadre Cadre

Facility in-charge

OTC health worker

ITC health worker

Health assistant

48

46

11

3

Gender Gender Gender Gender

Male

Female

60

48

55.6

44.4

Community level Implementers (N=34)Community level Implementers (N=34)Community level Implementers (N=34)Community level Implementers (N=34)

Cadre Cadre Cadre Cadre

VHT

MSG leaders

ACDO

13

15

6

32.8

44.1

17.6

Beneficiaries (N=119)Beneficiaries (N=119)Beneficiaries (N=119)Beneficiaries (N=119)

Health facility service at which caregiver interviewedHealth facility service at which caregiver interviewedHealth facility service at which caregiver interviewedHealth facility service at which caregiver interviewed

Inpatient Therapeutic Care (ITC )

Outpatient Therapeutic Care (OTC)

27

92

22.6

77.3

iii | P a g e

Appendix II, List of those Interviewed and sites visited

Data collection Data collection Data collection Data collection

methodmethodmethodmethod

Respondent Respondent Respondent Respondent

categorycategorycategorycategory

Respondent detailsRespondent detailsRespondent detailsRespondent details Target sample Target sample Target sample Target sample

sizesizesizesize

Number Number Number Number

InterviewedInterviewedInterviewedInterviewed

SemiSemiSemiSemi----

structured structured structured structured

interviewsinterviewsinterviewsinterviews

Facility level

implementers

(list of facilities

is located in

attached

primary data

collection files)

Facility in-charge 51 48

OTC health worker 51 46

ITC health worker 10 11

Community

level

implementers

2 VHTS linked one HC III in each

district

14 13

2 MSG leaders of one MSG at HC III in

each district

14 15

1 ACDO at HC III level per district 7 6

Beneficiaries 6 caregivers of children aged 0 – 2

years in stabilization in each of the 10

UNICEF-supported ITCs

60

27

2 caregivers of children aged 0 – 2

years in each of the 51 UNICEF-

supported OTCs

102 92

Data Data Data Data

abstractionabstractionabstractionabstraction

District • Training data from District

Nutrition focal persons and

relevant IPs

• RUTF data from District

Store Keepers

• Nutrition status data from

District Biostatistician and

CUAMM

7 7

Nutrition Nutrition Nutrition Nutrition

ProvidersProvidersProvidersProviders

Sub-County • List is provided in Mapping

Report

28 28

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Figure 23, Document timeline 2000-2016

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Appendix III, Karamoja NGO Mapping

Mapping Report _

DRAFT 09 November _ Denis.doc

Appendix VI, Inferential Statistics & Tables Facility Level Inferential StatisticsInferential StatisticsInferential StatisticsInferential Statistics

Secondary Results.xlsx

• (Facility Level DataFacility Level DataFacility Level DataFacility Level Data)

No inferential statistics for hampering factors due to small cell sizes—only a small subset had data for these questions. Some other variables also missing

here due to inadequate variation—I didn’t run regressions for anything with 85% or higher of cases with identical responses due to insufficient variation

(higher than 75% for community data given smaller sample size), likewise for community and caregiver data (below).

o There was no significant evidence of variation in nutrition program activities by district.

o There was significant variation in training by district

� Respondents in Abim had significantly higher odds of being trained in referrals compared to those in Kaabong

� Respondents in Nakapiripirit and Abim had significantly higher odds of being trained in integrated management of childhood illness

compared to those in Kaabong

� Respondents in Abim had significantly higher odds of being trained in treatment of malnourished children compared to those in Kaabong

o There was significant variation in the perception of positive results of the program by district

� Respondents in Napak had significantly higher odds of reporting increased referrals as a positive result of the program compared to

those in Kaabong

� Respondents in Moroto had significantly lower odds of reporting fewer cases of malnutrition as a positive result of the program

compared to those in Kaabong

� Respondents in Napak had significantly higher odds of reporting increased caregiver information as a positive result of the program

compared to those in Kaabong

o There was significant variation in the perception of what factors have contributed to achievement of results achieved so far by district

� Respondents in Kotido had significantly higher odds of reporting availability of job aides helped compared to those in Kaabong

vi | P a g e

� Respondents in Amudat had significantly lower odds of reporting effective referral systems helped compared to those in Kaabong

o Respondents in Moroto and Kotido rated how well various UNICEF nutrition components were linked lower than respondents in Kaabong

o Respondents in Kotido had much lower odds of saying the program had been implemented very well (versus somewhat well; no one said the

program was implemented fairly or poorly) compared to those in Kaabong; Respondents in Napak had far lower odds of reporting that intended

beneficiaries have been reached by the program.

Table 11, Association between district and coordination, functionality and reach

Association between District and Coordination, Functionality, and Reach, Facility Data (n=108)Facility Data (n=108)Facility Data (n=108)Facility Data (n=108)

Alignment with

Karamoja

Priorities

UNICEF Nutrition

Components Linked

Facility Activities

Linked to

Community

Effort to Reach

Men & Women

Sub-Country

Committees

Functional

Government

Ownership of

Activities

B SE B SE B SE B SE B SE B SE

District

Kaabong (ref) 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00

Amudat 0.26 -0.20 -0.04 -0.26 0.05 -0.18 -0.08 -0.28 -0.22 -0.46 -0.58 -0.31

Moroto -0.19 -0.18 -0.78** -0.24 -0.14 -0.16 -0.18 -0.25 -0.27 -0.42 0.13 -0.28

Nakapiripirit -0.14 -0.19 -0.07 -0.24 0.10 -0.17 -0.51 -0.26 0.31 -0.43 -0.15 -0.29

Napak 0.18 -0.20 0.11 -0.26 0.05 -0.18 0.00 -0.28 0.16 -0.46 -0.27 -0.31

Abim -0.13 -0.19 -0.09 -0.25 0.01 -0.18 -0.06 -0.27 0.11 -0.44 0.17 -0.3

Kotido -0.28 -0.20 -0.66* -0.26 -0.11 -0.18 0.30 -0.28 -0.07 -0.46 -0.50 -0.31

Notes: *p<.05; **p<.01; ***p<.001

Caregivers Inferential StatisticsInferential StatisticsInferential StatisticsInferential Statistics

• Is there significant variation in any key indicators by district (Caregiver Data (n=119)Caregiver Data (n=119)Caregiver Data (n=119)Caregiver Data (n=119))?

o For models of accounting for food culture, reach, sustainability, and RUTF consumption

� Caregivers in Napak had significantly lower odds of reporting that the Karamojong food culture was taken into account compared to

those in Kaabong

� No other significant associations

o No significant variation between districts in how well the program was implemented

vii | P a g e

o Significant variation in how R came to seek services at the facility

� Caregivers in Amudat, Nakapiripirit, and Napak had significantly lower odds of seeking services at the facility as a result of VHT referral

compared to those in Kaabong

� Caregivers in Abim had significantly higher odds of seeking services at the facility as a result of the facility being near home compared

to those in Kaabong

o There was no significant variation between districts in service points caregivers reported children benefitted from

o There was one significant association between district and messaging

� Caregivers in Abim had significantly higher odds of being given messages about growth monitoring compared to those in Kaabong

Multivariate modelsMultivariate modelsMultivariate modelsMultivariate models

• Neither training nor activities offered through the facility were significant predictors of implementation in the district level data

Table 12 Assessment & Screening, education and referrals, IMAM, and record keeping

Association between District and Training, Facility Data (n=108)Facility Data (n=108)Facility Data (n=108)Facility Data (n=108)

Nutrition

Assessment &

Screening

Nutrition Education

& IYCF Referral

Integrated

Management of

Childhood Illness

Treatment of

Malnourished Children Record Keeping

Received No

Training

OR 95% CI OR 95% CI OR 95% CI OR 95% CI OR 95% CI OR 95% CI OR 95% CI

District

Kaabong (ref) 1.00 [1.00,1.00] 1.00 [1.00,1.00] 1.00 [1.00,1.00] 1.00 [1.00,1.00] 1.00 [1.00,1.00] 1.00 [1.00,1.00] 1.00 [1.00,1.00]

Amudat 1.28 [0.25,6.69] 2.12 [0.43,10.52] 3.00 [0.63,14.23] 4.50 [0.97,20.83] 0.86 [0.21,3.58] 0.38 [0.08,1.84] 0.91 [0.13,6.40]

Moroto 1.08 [0.25,4.60] 0.57 [0.15,2.12] 2.55 [0.61,10.71] 1.45 [0.38,5.54] 1.71 [0.46,6.37] 0.73 [0.20,2.72] 1.33 [0.25,7.01]

Nakapiripirit 1.79 [0.36,9.05] 2.07 [0.48,8.97] 3.94 [0.91,17.01] 6.50* [1.47,28.80] 3.25 [0.76,13.89] 3.00 [0.74,12.13] 0.31 [0.03,3.34]

Napak 1.28 [0.25,6.69] 1.43 [0.32,6.49] 2.19 [0.45,10.58] 3.20 [0.72,14.15] 3.33 [0.68,16.30] 1.46 [0.35,6.11] 1.50 [0.25,8.98]

Abim 5.38 [0.55,52.43] 4.14 [0.71,24.16] 7.00* [1.49,32.82] 8.00* [1.61,39.64] 14.00* [1.51,130.10] 3.44 [0.79,15.02] 0.36 [0.03,3.85]

Kotido 2.12 [0.34,13.13] 2.12 [0.43,10.52] 4.08 [0.86,19.37] 2.33 [0.54,10.11] 5.50 [0.94,32.21] 1.46 [0.35,6.11] 0.42 [0.04,4.53]

Notes: *p<.05; **p<.01; ***p<.001

viii | P a g e

Community Service Providers Inferential StatisticsInferential StatisticsInferential StatisticsInferential Statistics

• (Community Level DataCommunity Level DataCommunity Level DataCommunity Level Data)))) No inferential statistics for frequency of meetings, extent to which they’ve tried to reach both men and women, extent to which

community level activities were coordinated, and whether intended beneficiaries have been reached due to low sample size—only 12 responded to these

questions

o Respondents from Moroto rate the ease of conducting outreach activities as being higher compared to respondents from Kaabong

o Respondents from Nakapiripirit rate the coordination between the facility and community to be greater compared to respondents from Kaabong

o There was no significant association between district and ratings of program implementation

o There was no significant association between district and activities/services offered in the communities

o There was no significant association between district and reported training received

o There was no significant association between district and signs looked for when making referrals, nor between district and messages provided

to caregivers

o There was no significant association between district and reported positive results

o There was no significant association between district and reported factors that helped achieve positive results

o

Association between District and Outreach & Coordination, Community Service Provider Data Community Service Provider Data Community Service Provider Data Community Service Provider Data (n=34)(n=34)(n=34)(n=34)

Frequency of

Outreach

Ease of Conducting

Outreach

Ease for Caregivers to

Understand

Counselling

How Linked with

Other Partners

Coordination between

Facility & Community

Level of Community

Ownership of

Activities

B SE B SE B SE B SE B SE B SE

District

Kaabong (ref) 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00

Amudat 0.03 -0.65 0.73 -0.50 0.03 -0.54

-

0.47 -0.38 -1.47 -0.74 0.63 -0.49

Moroto 0.63 -0.65 1.13* -0.50 0.83 -0.54 0.33 -0.38 -0.87 -0.74 0.63 -0.49

Nakapiripirit 0.23 -0.65 0.73 -0.50 0.83 -0.54 0.13 -0.38 -2.07** -0.74 -0.77 -0.49

Napak 0.83 -0.65 0.33 -0.50 -0.37 -0.54 0.13 -0.38 -1.07 -0.74 0.23 -0.49

Abim 0.33 -0.70 -0.17 -0.53 -0.17 -0.57 0.33 -0.41 -0.42 -0.79 -0.17 -0.52

Kotido 0.58 -0.70 -0.17 -0.53 0.08 -0.57

-

0.17 -0.41 -0.67 -0.79 0.08 -0.52

Notes: *p<.05; **p<.01; ***p<.001

ix | P a g e

Data Rubric

Data Rubric_v9.xlsx

Table 13, Cure, death, and default rate by month, OTC/ITC Data

Date Cure rate Death rate Default rate

01-Jan-13 72.3 2.4 18.8

01-Feb-13 64.5 0.8 22.9

01-Mar-13 70.6 0.3 14.9

01-Apr-13 67.2 2.6 24.3

01-May-13 67.2 2.3 18.9

01-Jun-13 74.0 1.5 22.2

01-Jul-13 70.9 1.4 20.1

01-Aug-13 80.0 0.5 12.7

01-Sep-13 64.7 5.0 20.5

01-Oct-13 64.3 4.6 18.5

01-Nov-13 56.4 0.8 26.4

01-Dec-13 61.2 1.5 26.9

01-Jan-14 70.3 1.1 22.6

01-Feb-14 66.9 1.4 21.6

01-Mar-14 68.9 0.5 23.7

01-Apr-14 66.1 3.2 21.3

01-May-14 66.8 2.0 21.5

01-Jun-14 61.9 3.7 21.6

01-Jul-14 67.0 2.6 20.1

01-Aug-14 72.0 1.1 17.6

01-Sep-14 72.7 1.6 17.0

01-Oct-14 67.8 2.2 17.8

01-Nov-14 59.6 3.3 22.1

01-Dec-14 62.8 0.7 23.7

01-Jan-15 75.2 1.3 13.8

01-Feb-15 68.2 1.5 19.5

01-Mar-15 66.0 2.5 21.3

01-Apr-15 66.5 2.1 18.7

01-May-15 64.7 2.8 17.9

01-Jun-15 63.2 2.4 15.4

01-Jul-15 63.7 3.7 18.1

01-Aug-15 71.1 2.6 14.7

01-Sep-15 66.7 2.0 15.1

01-Oct-15 69.4 1.0 16.2

01-Nov-15 66.2 0.6 16.0

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01-Dec-15 66.3 0.7 17.1

01-Jan-16 58.5 1.8 23.5

01-Feb-16 64.5 1.5 19.6

01-Mar-16 69.3 1.2 16.6

01-Apr-16 . . .

01-May-16 74.2 0.3 18.0

01-Jun-16 71.4 4.1 13.8

01-Jul-16 71.4 0.4 17.0

01-Aug-16 56.1 6.9 30.3

01-Sep-16 71.1 0.0 25.9

Appendix IV, Evaluators Bio data and/or justification of team composition

Names Names Names Names Expertise Expertise Expertise Expertise Roles and Responsibilities Roles and Responsibilities Roles and Responsibilities Roles and Responsibilities

Christina Blanchard-Horan PhD, Applied Anthropology, evaluation

with a focus on Training and Capacity

Building

(Team Leader)

Lead the research team, responsible

for survey design, training of the

research assistants and enumerators,

review key documents, and prepare

interim, draft and final report.

Wamuyu Maina PhD Nutrition

(Co-Investigator)

Assist the team leader in every activity

of the evaluation processes, contribute

to planning, implementation and

report writing.

Elisabetta Aurino Ph.D. Development Economics, Child

Poverty & Food Security

(VfM Analyst)

Conduct analysis of quantitative data.

Transcribe the information from the

semi-structured interviews and provide

draft reports to the team leader and

co-investigator.

Denis Bwesigye Ph.D., Public Health Policy Management & MA in Population and

Reproductive Health Research

(Mapping)

Conduct field visits and undertake key

informant interviews with district and

regional stakeholders, coordinate

NGO, IP & DHO interviews. Transcribe

the information from the key informant

and provide draft reports to the team

leader.

Flavia Miiro MA, (Operation and logistics

management)

Coordinate the overall activity of the

evaluation activities. Training of the

enumerators, Serve as the first point

contact person for the field team.

Conduct field visits and undertake

interviews with district officials.

Transcribe the information from the

key informant and provide draft

reports to the team leader.

xi | P a g e

Appendix V, Terms Of Reference

20160128 TOR

End-of-Project -- EKRP Nutrition.docx

Appendix VI, Inception Report

UNICEF EKRP IR

Update-26 Sept 2016-FINAL.docx

Appendix VII, List of documents consulted

Desk Review

Documents.xlsx

Appendix VIII, Results Framework, Informed consent, & Instruments

Evaluation

Framework.xlsx

Appendix IX, Informed consents

A-Informed Consent

Form.doc

Appendix X, Data collection instruments, with details about their reliability

and validity

Ci-Questionnaire for

Health Facility level implementers.docx

Cii-Questionnaire for

Community Level implementers.docx

Ciii-Questionnaire for

caregivers of children aged 0 to 2 years.docx

D_Focus Group

Discussion Guide for MSG members and Men.docx

E_Data Abstraction

Form_ District & Community Level.docx

F-Unobstrusive

Observation Checklist.docx

G_ Stakeholder

Mapping Tool.xlsx

FINAL MAPPING

TOOL _ QUESTIONNAIRE Sep 26.docx

xii | P a g e

Appendix XI, Raw data analysis files

UGA-FINAL DATA

SETv2.xlsx

Data Rubric_v9.xlsx