Evaluation

MEASURE Evaluation has experience conducting a wide range of rigorous evaluations, including impact evaluations, in global health fields. The project also conducts methodological studies, process evaluations, pilot tests/proof of concept studies, and population-based surveys and surveillance.

Since the inception of the original EVALUATION Project over 20 years ago, MEASURE Evaluation has been USAID’s flagship project for strengthening health programs and systems around the globe through high-quality program evaluation. MEASURE Evaluation supports the international development goal of maximizing program results through the systematic collection and analysis of information and evidence about health program performance and impact. Evaluation findings provide accountability to stakeholders and donors, and inform decisions—supporting organizational learning, strengthening health systems, and improving program effectiveness so that people live healthier lives.

MEASURE Evaluation has experience conducting a wide range of rigorous evaluations to provide the strongest possible evidence on the evaluation questions in the resources and time available. The project also conducts methodological studies, pilot tests or proof of concept studies, and population-based surveys and surveillance. In addition to building the evidence of what works for programs, MEASURE Evaluation contributes knowledge of how specific interventions can strengthen health information systems and health systems.

To help build the cadre of local professionals to conduct rigorous evaluations, MEASURE Evaluation weaves together the functions of evaluation implementation with experiential learning and training. We also support opportunities for formal training, through local and regional workshops and by incorporating advanced methods in graduate school curricula.

MEASURE Evaluation’s work in this area includes:

  • Expertise in a full range of quantitative and qualitative evaluation methods in all health fields, including evaluations that use existing data and complexity aware methods
  • Mentoring in rigorous evaluation methods, through evaluation activities with local counterparts
  • Building partner capacity to become effective trainers of advanced evaluation methods
  • Participation in evaluation trainings, workshops, and online trainings
  • Teaching and ongoing mentoring in techniques of sampling and advanced data analysis
  • Integrating gender considerations into program design and evaluations
  • Costing and cost-effectiveness analysis
  • Analyses and trainings in using geographic information systems for program evaluations
  • Stakeholder information needs assessments and complementary activities to ensure that evaluations meet the needs of stakeholders and results are used in decision making
  • Data archiving and making data publicly available
  • Producing cause-specific mortality measures

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