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World Vision-led ENSURE DFAP
El Niño Crisis Modifier
Resumé, Results, Rationale and Reflections
TOPS Knowledge Sharing Event
Washington, DC
20 July 2017
Background
• ENSURE DFAP
• El Niño drought of 2014/15 and 2015/16
• Crisis Modifier – 2016/17 Resumé, Results, Rationale and Reflections
ENSURE DFAP
• Enhancing Nutrition, Stepping up Resilience
and Enterprise
• World Vision-led, USAID-funded, five-year
intervention ending in June 2018
• Impacting 215,000 vulnerable and food-
insecure households in Manicaland (Buhera,
Chimanimani and Chipinge) and Masvingo
(Bikita, Chivi and Zaka)
• Four partners and one service provider—
World Vision, CARE, SNV, SAFIRE and ICRISAT
• Excellent program progress to date (activities,
outputs, behaviors and outcome trends)
Extended El Niño Drought of
2014/15 and 2015/16
• 40% decrease in national cereal grain
production in 2014/15 and a further
44% decrease in 2016/17 (worst
harvest in past 50 years).
• 4.1 million highly food insecure
nationally in 2016/17, with
Manicaland and Masvingo Provinces
having the largest population of food
insecure households.
USAID Definition of Crisis Modifier
A mechanism to “quickly inject
emergency funds during crises
into existing development
programs. These funds allow
partners to respond rapidly to
address humanitarian needs,
reducing livelihood and other
development losses.”
Crisis Modifier Resumé
• August 2016 to March 2017
• Coverage of 52% of ZIMVAC food insecure in 66
ENSURE wards plus 43 additional Affected Wards in
five ENSURE Districts (excludes Zaka which
benefitted from DFID-funded Cash Transfer Program)
• Two components: Expanded Protective Ration and
Nutrition Surveillance
• 18,840 MT of commodities comprised of 7.5 kgs of
sorghum, 1 kg of yellow split peas, and 0.5 kgs of
vegetable oil per beneficiary household member per
month.
• 80 additional staff and 115 additional casual laborers
and students on attachment
• $5.2M in cash and $13.9M in commodities
• Quick scale-up
Crisis Modifier Results
• A total of 315,802 beneficiaries received
food rations in both Manicaland and
Masvingo (101% of target)
• 270,000 of them were emergency
response beneficiaries (non-DFAP
recipients)
• A total of 28,107 children were screened
for malnutrition in the two provinces.
• Food security situation improved among
beneficiary households as shown in the
following graphs:
3.5
0
2.9
0.9
1.6
3.6
2.2
4.4
0
0.5
1
1.5
2
2.5
3
3.5
4
4.5
5
Prevalence of GAM (Wt/Ht) in
ENSURE Districts
Self-reported Hunger: Comparison between
Beneficiaries and Non-beneficiaries
34.6 31.5 28.1 26
53.8
25.7
59
29.4
66.8
52.1
59.6 60 71.4
68.8
46.2
74.3
41
70.6
29.4
43.6
5.8 8.5
0.5 5.2 0.9
6.9 7.5 9.5 3.8 4.3
0
20
40
60
80
100
120
Benefici
arie
s
Non-
Benefici
arie
s
Benefici
arie
s
Non-
Benefici
arie
s
Benefici
arie
s
Non-
Benefici
arie
s
Benefici
arie
s
Non-
Benefici
arie
s
Benefici
arie
s
Non-
Benefici
arie
s
October November January February March
Pro
po
rtio
n o
f h
ou
seh
old
s (%
)
Months
Little/No hunger
Moderate
Severe
Prevalence of Stunting
(Ht/Age)
[VALUE] [VALUE]
0.0%
5.0%
10.0%
15.0%
20.0%
25.0%
30.0%
ENSURE Program Area 2014 Baseline ENSURE Program Area 2016
The Prevalence of Stunting in ENSURE Districts
Crisis Modifier Rationale
• Massive food needs required an emergency
response
• Protecting DFAP program gains
• Duplicative WFP emergency pipeline and removal
of administrative layer
• Leveraging DFAP infrastructure and staff capacity
• Leveraging Cohesive Groups of Praxis
• Decision to import food (vs cash or vouchers)
based on national and regional deficit and liquidity
crisis.
• EFSP not the right mechanism given presence of
DFAP implementers.
Crisis Modifier Reflections
• Good results pointing to successful protection of beneficiary households and DFAP gains
• Excellent coordination and alignment between donors and implementing agencies
• ENSURE systems, structures and staff in place allowing for rapid expansion and contraction
• Rapid expansion and prepo commodities
• ENSURE groups of praxis in place and functioning well (especially Care Groups and VSLs)
• Gender mainstreaming success
• Slow on-set allowing for ample time to plan
• GOZ and local authorities in agreement with targeting and selection criteria
• Good relationships with health clinics and local authorities