Generate Evidence Generating strong evidence for program and policy decision making was the foundation of MEASURE Evaluation and is a core mission of its associate award: Data for Impact (D4I). We work with United States Agency for International Development (USAID) missions and other local partners to identify and prioritize information needs. We begin with a clear understanding of the question or research need, and tailor methods to the available budget, timeline, and context. We use available data when possible. Sources include routine and existing health data, surveys, and studies. To that we add nontraditional data, such as weather and satellite data, or data from other non-health sectors. For examples of using routine data in evaluations, see this suite of technical briefs. Key Publications When new data are needed or an evaluation is appropriate, we use innovative, rigorous, and efficient methods and tools. We conduct process, outcome, impact, and economic evaluations, plus operations research and implementation science studies. Related Content Data for Impact: The D4I Approach for Strong Health Data Data for Impact: What’s the cost of evaluations and other surveys? How Do We Know if a Program Made a Difference? A Guide to Statistical Methods for Program Impact Evaluation Qualitative Methods in Evaluation of Public Health Programs, a Curriculum on Intermediate Concepts and Practices Getting to an Evaluation Plan: A Six-Step Process from Engagement to Evidence A Practical Guide to Using Routine Data in Evaluation (2020, English)Strengthening Collection, Management and Use of Quality Routine Data for the Provision of Child Protection and Care in Armenia (2020, English)Support Clubs for Children and Youth in Haiti Living with HIV: Technical Brief on a Case Study (2020, English)Assessing Healthcare Quality Using Routine Data: Evaluating the Performance of the National Tuberculosis Program in South Africa (2020, English)Impact of a District-Wide Health Center Strengthening Intervention on Healthcare Utilization in Rural Rwanda: Use of Interrupted Time Series Analysis (2020, English)« Previous 1 … 19 20 21 22 23 … 33 Next » For more Resources, click here