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Developing a framework for
in-country impact evaluations of
malaria control efforts
Jui Shah, MPH

Team: Achuyt Bhattarai, Christie Hershey, Eline Korenromp, Elizabeth Ivanovich, Erin
Eckert, Holly Newby, Liliana Carvajal, Richard Cibulskis , Mike Lynch, Ryuichi Komatsu,
Thom Eisele, Yazoume Ye
Outline
๏‚ง Background

๏‚ง Development process
๏‚ง Overview of the framework
๏‚ง Next steps
Background: Defining the need
๏‚ง Last decade of malaria control
๏‚ง Renewed attention and resources
๏‚ง Scale up of key interventions

๏‚ง Current need to assess the effect of this scale up
Background: Building on past
work
๏‚ง Monitoring & Evaluation Reference Group
(MERG)
๏‚ง Plausibility design proposed by Alex Rowe and
MERG colleagues in 2007
๏‚ง Need to address 2015 MDG measurement needs
๏‚ง Incorporate new evidence, experience, and
thinking
Purpose of the document
๏‚ง Review and update the 2007 evaluation
framework
๏‚ง Make recommendations for evaluating the impact
of scaling up malaria control interventions
๏‚ง Summarize recent experiences, including impact
evaluations of PMI priority countries
Partners
๏‚ง MEASURE Evaluation

๏‚ง USAID
๏‚ง CDC
๏‚ง UNICEF

๏‚ง WHO
๏‚ง Global Fund to Fight AIDS, Tuberculosis and
Malaria
Target audience
๏‚ง National Malaria Control Programs

๏‚ง Ministries of Health
๏‚ง Funding agencies
Development process
๏‚ง Identify core writing team

๏‚ง Develop outline of the guidance document
๏‚ง Assign sections to authors
๏‚ง Craft preliminary drafts

๏‚ง Complete internal and external reviews
๏‚ง Finalize text and formatting
๏‚ง Print and disseminate document
Content
๏‚ง
๏‚ง
๏‚ง
๏‚ง
๏‚ง
๏‚ง
๏‚ง
๏‚ง

Definition of key concepts
Executive summary
Introduction and objectives
Process for implementing
impact evaluation
Evaluation design
Program description
Measuring the coverage of
malaria control interventions
Measuring transmission
intensity

๏‚ง Measuring malaria morbidity
๏‚ง Measuring mortality
๏‚ง Measuring and accounting
for non-malaria programs
factors
๏‚ง Data synthesis, triangulation
and interpretation
๏‚ง Challenges
๏‚ง Way forward
๏‚ง Appendices (case studies)
Process of implementing
evaluation
Step 2.
Malaria
Control
Program
Description

Step 5.
Ensure Use
and
Disseminate
Findings

Step 1.
Stakeholder
Engagement

Step 4.
Generate
Credible
Evidence

Step 3.
Develop
Evaluation
Design
Conceptual framework
Confounders

Coverage of primary malaria control
interventions

Coverage of other child survival
interventions

Case management
Vector control (ITNs and IRS)
Malaria prevention in pregnancy
(ITNs and IPTp)

ORT , EPI
Access / demand for healthcare
Nutrition
IMCI, PMTCT

Rainfall /
temperature

Malaria
transmission

Confounders

(Confounder)
Impact on malaria
Malaria-related morbidity
(mostly among children and
pregnant women in stable
transmission areas)

Malaria-related mortality
in children

Child morbidity and mortality due
to other cause than malaria
Diarrheal disease
ARI (Pneumonia)
Nutrition
HIV

Impact on all-cause child mortality
Measuring coverage
๏‚ง 9 indicators for
vector control
๏‚ง 1 indicator for
malaria prevention
during pregnancy
๏‚ง 3 indicators for
diagnosis and
treatment practices
Measuring morbidity
๏‚ง Different data sources
๏‚ง 2 population-level indicators
๏‚ง 4 facility-level indicators
Measuring mortality
๏‚ง Malaria-specific mortality
๏‚ง Health management and information system
๏‚ง Civil registration and vital statistics
๏‚ง Verbal autopsy

๏‚ง All-cause under-five mortality
Measuring contextual factors
Category
Child survival
interventions

Examples

Data sources

EPI coverage, micro-nutrient
supplementation coverage

WHO, UNICEF,
DHS, MICS

Environmental
factors

Rainfall, temperature, land
cover, flood, drought

National
meteorological
agency, online
datasets

Health systems
factors

Per capita expenditure on health WHO, World Bank

Socioeconomic
factors

Household asset and income,
parental education, economic
crises, GDP per capita,
population living below poverty
line

DHS, MICS
World Bank
Triangulation and interpretation
๏‚ง Primary analysis
๏‚ง Trends over time
๏‚ง Stratification

๏‚ง Secondary analysis

๏‚ง Meta analysis (multi-country)
Next steps
๏‚ง Finalize text

๏‚ง Complete internal and external reviews
๏‚ง Print and disseminate document
Thank you!

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Developing a Framework for In-country Impact Evaluations of Malaria Control Efforts

  • 1. Developing a framework for in-country impact evaluations of malaria control efforts Jui Shah, MPH Team: Achuyt Bhattarai, Christie Hershey, Eline Korenromp, Elizabeth Ivanovich, Erin Eckert, Holly Newby, Liliana Carvajal, Richard Cibulskis , Mike Lynch, Ryuichi Komatsu, Thom Eisele, Yazoume Ye
  • 2. Outline ๏‚ง Background ๏‚ง Development process ๏‚ง Overview of the framework ๏‚ง Next steps
  • 3. Background: Defining the need ๏‚ง Last decade of malaria control ๏‚ง Renewed attention and resources ๏‚ง Scale up of key interventions ๏‚ง Current need to assess the effect of this scale up
  • 4. Background: Building on past work ๏‚ง Monitoring & Evaluation Reference Group (MERG) ๏‚ง Plausibility design proposed by Alex Rowe and MERG colleagues in 2007 ๏‚ง Need to address 2015 MDG measurement needs ๏‚ง Incorporate new evidence, experience, and thinking
  • 5. Purpose of the document ๏‚ง Review and update the 2007 evaluation framework ๏‚ง Make recommendations for evaluating the impact of scaling up malaria control interventions ๏‚ง Summarize recent experiences, including impact evaluations of PMI priority countries
  • 6. Partners ๏‚ง MEASURE Evaluation ๏‚ง USAID ๏‚ง CDC ๏‚ง UNICEF ๏‚ง WHO ๏‚ง Global Fund to Fight AIDS, Tuberculosis and Malaria
  • 7. Target audience ๏‚ง National Malaria Control Programs ๏‚ง Ministries of Health ๏‚ง Funding agencies
  • 8. Development process ๏‚ง Identify core writing team ๏‚ง Develop outline of the guidance document ๏‚ง Assign sections to authors ๏‚ง Craft preliminary drafts ๏‚ง Complete internal and external reviews ๏‚ง Finalize text and formatting ๏‚ง Print and disseminate document
  • 9. Content ๏‚ง ๏‚ง ๏‚ง ๏‚ง ๏‚ง ๏‚ง ๏‚ง ๏‚ง Definition of key concepts Executive summary Introduction and objectives Process for implementing impact evaluation Evaluation design Program description Measuring the coverage of malaria control interventions Measuring transmission intensity ๏‚ง Measuring malaria morbidity ๏‚ง Measuring mortality ๏‚ง Measuring and accounting for non-malaria programs factors ๏‚ง Data synthesis, triangulation and interpretation ๏‚ง Challenges ๏‚ง Way forward ๏‚ง Appendices (case studies)
  • 10. Process of implementing evaluation Step 2. Malaria Control Program Description Step 5. Ensure Use and Disseminate Findings Step 1. Stakeholder Engagement Step 4. Generate Credible Evidence Step 3. Develop Evaluation Design
  • 11. Conceptual framework Confounders Coverage of primary malaria control interventions Coverage of other child survival interventions Case management Vector control (ITNs and IRS) Malaria prevention in pregnancy (ITNs and IPTp) ORT , EPI Access / demand for healthcare Nutrition IMCI, PMTCT Rainfall / temperature Malaria transmission Confounders (Confounder) Impact on malaria Malaria-related morbidity (mostly among children and pregnant women in stable transmission areas) Malaria-related mortality in children Child morbidity and mortality due to other cause than malaria Diarrheal disease ARI (Pneumonia) Nutrition HIV Impact on all-cause child mortality
  • 12. Measuring coverage ๏‚ง 9 indicators for vector control ๏‚ง 1 indicator for malaria prevention during pregnancy ๏‚ง 3 indicators for diagnosis and treatment practices
  • 13. Measuring morbidity ๏‚ง Different data sources ๏‚ง 2 population-level indicators ๏‚ง 4 facility-level indicators
  • 14. Measuring mortality ๏‚ง Malaria-specific mortality ๏‚ง Health management and information system ๏‚ง Civil registration and vital statistics ๏‚ง Verbal autopsy ๏‚ง All-cause under-five mortality
  • 15. Measuring contextual factors Category Child survival interventions Examples Data sources EPI coverage, micro-nutrient supplementation coverage WHO, UNICEF, DHS, MICS Environmental factors Rainfall, temperature, land cover, flood, drought National meteorological agency, online datasets Health systems factors Per capita expenditure on health WHO, World Bank Socioeconomic factors Household asset and income, parental education, economic crises, GDP per capita, population living below poverty line DHS, MICS World Bank
  • 16. Triangulation and interpretation ๏‚ง Primary analysis ๏‚ง Trends over time ๏‚ง Stratification ๏‚ง Secondary analysis ๏‚ง Meta analysis (multi-country)
  • 17. Next steps ๏‚ง Finalize text ๏‚ง Complete internal and external reviews ๏‚ง Print and disseminate document