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A common evaluation framework for the African Health Initiative
Jennifer Bryce1, Jennifer Harris Requejo, Lawrence H Moulton
1Department of International Health, The Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205, USA. jbrycedanby@aol.com
The African Health Initiative developed a common evaluation framework to improve health systems across five countries. This framework enhances cross-site learning and considers equity, contextual factors, and implementation strength for better health outcomes.
Area of Science:
- Global Health
- Health Systems Strengthening
- Program Evaluation
Background:
- The African Health Initiative involves diverse partnerships in Ghana, Mozambique, Rwanda, Tanzania, and Zambia.
- The initiative aims to improve population health by strengthening health systems and evaluating results.
- A key goal is to generate cross-site learning applicable to participating countries and the wider region.
Purpose of the Study:
- To describe the components of a common evaluation framework developed for the African Health Initiative.
- To outline the conceptual model, core metrics, and reporting guidelines for partnership activities.
- To detail data management, quality assessment, and cross-site analysis systems.
Main Methods:
- Development of a common evaluation framework with a conceptual model and core metrics.
- Establishment of standard guidelines for reporting on partnership implementation and contextual factors.
- Implementation of systems for data management, quality assurance, and cross-site analysis.
Main Results:
- The conceptual model identifies key points in the causal chain from health system strengthening to health impact.
- The framework incorporates contextual factors and implementation strength as determinants of results.
- Equity is explicitly included as a component of both outcomes and impact.
Conclusions:
- The evaluation framework advances understanding by including contextual factors, implementation strength, and equity.
- Challenges include prospective documentation of implementation and contextual factors.
- Methodological issues involve data aggregation and evaluating complex, evolving interventions.
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