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Evaluating malaria programmes in moderate- and low-transmission settings: practical ways to generate robust evidence
Ruth A Ashton1, Debra Prosnitz2, Andrew Andrada2
1MEASURE Evaluation, Center for Applied Malaria Research and Evaluation, Tulane School of Public Health and Tropical Medicine, Tulane University, 1440 Canal Street, Suite 2300, New Orleans, LA, USA. rashton@tulane.edu.
Malaria Journal
|February 20, 2020
Summary
This framework aids malaria programs in designing evaluations for low, moderate, and heterogeneous transmission settings. It guides data analysis and interpretation to inform decision-making and improve malaria control strategies.
Area of Science:
- Epidemiology
- Public Health
- Malaria Control
Background:
- Malaria interventions have reduced transmission, leading to more focalized and heterogeneous patterns.
- Evaluating malaria programs in low, moderate, and heterogeneous transmission settings presents unique challenges.
- Existing evaluation guidance often focuses on high-transmission settings.
Purpose of the Study:
- To provide a framework for designing and conducting malaria program evaluations in low, moderate, and heterogeneous transmission settings.
- To offer guidance on answering context-specific evaluation questions.
- To support programmatic decision-making in diverse malaria transmission scenarios.
Main Methods:
- Development of a framework by a task force from the Roll Back Malaria Monitoring and Evaluation Reference Group.
- Building upon existing guidance for process, outcome, and impact evaluations.
- Incorporating considerations for evaluation design, including transmission setting, stratification, and data availability.
Main Results:
- Confirmed malaria incidence is recommended as a sensitive primary impact indicator for low-transmission settings.
- Process evaluations are crucial for program monitoring and improvement.
- Impact evaluations, often using plausibility designs (e.g., interrupted time series, dose-response analyses), are needed for new interventions or changing epidemiology.
- Triangulating multiple data sources strengthens evaluation plausibility.
Conclusions:
- The framework provides a structure for designing malaria program evaluations in diverse transmission settings.
- It emphasizes a continuous cycle from process to impact evaluation, informing programmatic decisions.
- Practical guidance is offered for evaluation design, analysis, and interpretation to meet national program priorities.

