preliminary results from a survey on the use of metrics and evaluation strategies among mhealth...

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Preliminary results from a Preliminary results from a survey on the use of metrics survey on the use of metrics and evaluation strategies among and evaluation strategies among mHealth projects mHealth projects Garrett Mehl, Franz Allmayer, Heli Bathija Department of Reproductive Health and Research, WHO, Switzerland Patricia Mechael, Nadi Kaonga Center for Global Health and Economic Development at the Earth Institute, Columbia University

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Preliminary results from a survey on the use of metrics and evaluation strategies among mHealth projectsPatricia Mechael, Nadi KaongaCenter for Global Health and Economic Development at the Earth Institute, Columbia UniversityCORE Group Spring Meeting, April 30, 2010

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Page 1: Preliminary results from a survey on the use of metrics and evaluation strategies among mHealth projects

Preliminary results from a survey on Preliminary results from a survey on the use of metrics and evaluation the use of metrics and evaluation

strategies among mHealth projectsstrategies among mHealth projects

Garrett Mehl, Franz Allmayer, Heli Bathija Department of Reproductive Health and Research, WHO, Switzerland

Patricia Mechael, Nadi KaongaCenter for Global Health and Economic Development at the Earth Institute, Columbia University

Page 2: Preliminary results from a survey on the use of metrics and evaluation strategies among mHealth projects

Survey Instrument• 50 multiple choice and open ended questions

• ~ 15 minutes for each project

• Survey topics

• Health focus areas, strategic approaches

• Specific objectives, types of monitoring, approach to evaluation

• Project phase, duration, level of support

• Self-identified areas of need

Page 3: Preliminary results from a survey on the use of metrics and evaluation strategies among mHealth projects

Survey Methodology

• Jointly developed with Columbia U.

• The survey is still being carried out.

• Available as a web-survey or soft-copy for printing

• Survey was announced to various electronic forums

• Additionally, individuals were sent targeted emails.

• Twitter

Page 4: Preliminary results from a survey on the use of metrics and evaluation strategies among mHealth projects

Survey ReachSurvey Reach

USA:5

Peru: 7

Haiti:2Mexico: 3

India:6

Pakistan:4Kenya:11Uganda:10South Africa:4Tanzania:5Ghana:3Nigeria:5Malawi: 2

Philipines:4

All countries highlighted contain an mHealth project covered by the survey. Countries with multiple projects are specified.

Jordan

Page 5: Preliminary results from a survey on the use of metrics and evaluation strategies among mHealth projects

Project duration in sample

Page 6: Preliminary results from a survey on the use of metrics and evaluation strategies among mHealth projects

Projects by health focus

Page 7: Preliminary results from a survey on the use of metrics and evaluation strategies among mHealth projects

Current Phase of projects

Current Phase

Needs assessment 8.8%

Usability testing 8.8%

Pilot not for scaling 7.4%

Pilot for scaling 57.4%

Large scale implementation

17.6%

Page 8: Preliminary results from a survey on the use of metrics and evaluation strategies among mHealth projects

Frequency of project objectives

• Client information

• Health provider information

• Increasing access to services

• Improve service quality and/or safety

• Increase client service demand

• Increase time savings

• Improve intra-provider communication

• Increase provider skills

• Reduce unneeded referrals

• Increase patient treatment compliance

• Reduce health service costs

• Improve ability to respond to crises

• Reduce stock-outs

Client focusProvider focusEfficiencies

Page 9: Preliminary results from a survey on the use of metrics and evaluation strategies among mHealth projects

mHealth Strategies

Page 10: Preliminary results from a survey on the use of metrics and evaluation strategies among mHealth projects

Clustering of mHealth objectives

StockCrisis

response

Time savingsReduce referral

Communication

Provider Skills

Lower costsQuality/

SafetyCompliance

Service DemandService access

Client info

Provider info

Page 11: Preliminary results from a survey on the use of metrics and evaluation strategies among mHealth projects

Domains of Measurement

Page 12: Preliminary results from a survey on the use of metrics and evaluation strategies among mHealth projects

Measurement domains of focus

Page 13: Preliminary results from a survey on the use of metrics and evaluation strategies among mHealth projects

Level of monitoring

Page 14: Preliminary results from a survey on the use of metrics and evaluation strategies among mHealth projects

Focus on Monitoring and Evaluation

Page 15: Preliminary results from a survey on the use of metrics and evaluation strategies among mHealth projects

Focus of Evaluation Assessment

Did the intervention result in improvements in:

Page 16: Preliminary results from a survey on the use of metrics and evaluation strategies among mHealth projects

Number of evaluation questions tracked

CostsSustainabilityBehavior changesHealth outcomesKnowledge, attitudesPerformanceQuality of CareService Utilization

Page 17: Preliminary results from a survey on the use of metrics and evaluation strategies among mHealth projects

Type of evaluation approach

Descriptive 29.8%

Cross-sectional 44.7%

Longitudinal 40%

Case-control 12.8%

Wedge 8.5%

Page 18: Preliminary results from a survey on the use of metrics and evaluation strategies among mHealth projects

Rigor of Evaluation Design

Page 19: Preliminary results from a survey on the use of metrics and evaluation strategies among mHealth projects

Drivers of Monitoring

Level of Monitoring

Significance

Performance Accounting

correlation coefficient

= .392(spearman’s

rho)

sig. (2-tailed)

.002

Number of funding sources

correlation coefficient

= .456(spearman’s

rho)

sig. (2-tailed)

.000

Page 20: Preliminary results from a survey on the use of metrics and evaluation strategies among mHealth projects

Project phase and monitoring level

Page 21: Preliminary results from a survey on the use of metrics and evaluation strategies among mHealth projects

Evaluation rigor by project start date

Page 22: Preliminary results from a survey on the use of metrics and evaluation strategies among mHealth projects

Evaluation rigor by project phase

Page 23: Preliminary results from a survey on the use of metrics and evaluation strategies among mHealth projects

Drivers of evaluation rigorRigor of

evaluationSignificance

Performance Accounting

correlation coefficient

= .501(spearman’s

rho)

sig. (2-tailed)

.000

Number of funding sources

correlation coefficient

= .392(spearman’s

rho)

sig. (2-tailed)

.001

Page 24: Preliminary results from a survey on the use of metrics and evaluation strategies among mHealth projects

Assistance requested

Page 25: Preliminary results from a survey on the use of metrics and evaluation strategies among mHealth projects

Assistance need by project phase

Page 26: Preliminary results from a survey on the use of metrics and evaluation strategies among mHealth projects

“We need a systematic approach to analyzing the

data we have collected over the past 3 years. “

Assistance Requested

Page 27: Preliminary results from a survey on the use of metrics and evaluation strategies among mHealth projects

“We also need to learn what is the norm for "success" in this field and

how we stack up to normal interventions vs. other mHealth

projects working on [similar] technology.”

Page 28: Preliminary results from a survey on the use of metrics and evaluation strategies among mHealth projects

“We need guidance on evaluation methods for

mHealth”

Page 29: Preliminary results from a survey on the use of metrics and evaluation strategies among mHealth projects

“We are interested in collaborative approaches

and standard indicators that will be measured across the

different mHealth programs.”

Page 30: Preliminary results from a survey on the use of metrics and evaluation strategies among mHealth projects

“How to assess the impact of [our] mHealth tool.”

Page 31: Preliminary results from a survey on the use of metrics and evaluation strategies among mHealth projects

Thank you.

For more information, or to submit your mHealth project to the survey, please send an

email to:

Dr. Garrett [email protected]