Pete Kapuscinski, World Bank |
Use of Routine Data for Research and Evaluation |
D4I has extensive experience supporting countries in conducting rigorous evaluations and research to generate and use high-quality data to improve programs, policies, and outcomes. D4I continued the work of MEASURE Evaluation in evaluation, data quality, and strengthening health systems through the adaptation of existing tools and methods, development of new methodologies, and use of routine data.
Routine health information systems (RHIS) data—data collected at regular intervals at public,
private, and community-level health facilities and institutions—have often been passed over by
evaluators in favor of other data sources, such as stand-alone surveys tailored to meet specific
evaluation objectives. However, using routine data for evaluation of health programs can save time
and money and yield close to real-time results.
The D4I resources highlighted in this newsletter highlight approaches for using routine data for research and evaluation.
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| A Practical Guide to Using Routine Data in Evaluation |
Routine data are available and usually less costly to collect, but they come with their own set of challenges. This guide summarizes 13 related technical briefs, including topics such as why routine data was used, what worked well, the main challenges, and lessons learned.
Interested in using routine data? The guide provides information for future evaluators and researchers and includes examples from countries in Sub-Saharan Africa (one from Ukraine) across a range of health areas—tuberculosis, HIV/AIDS, maternal and child health, family planning, malaria, and health service utilization. Explore the briefs.
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| Video Tutorials: Statistical Methods When Using Routine Data in Evaluation |
How can practitioners evaluate routine data using interrupted time series or logistical regression methods? D4I’s video tutorials pose example research questions and then present possible answers, as well as step-by-step instructions on how to analyze and interpret the data using Stata. Sample datasets, .do files, and background materials are provided as supplemental files for each method. Watch the videos and download the files.
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Webinar about Routine Data Use in Evaluation |
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| Needs Assessment on Resources for Use of Routine and Other Secondary Data for Health Evaluation and Research |
D4I conducted a survey of USAID Missions and implementing partners to better understand the perceived capabilities, needs, and available resources related to the use of routine and other existing data sources to conduct evaluation or other research. This report shares the findings and provides recommendations for how to better support needs related to the use of routine and other existing data for evaluation and research.
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| Estimating the Effects of COVID-19 on Health Service Utilization |
D4I developed methods to better understand the magnitude, geographical distribution, and evolution of COVID-19’s effects on health service utilization. In Bangladesh, the Democratic Republic of the Congo (DRC), and Uganda, D4I used routine data available through RHIS to analyze reporting and service utilization for a variety of health services. Learn more from the publications below.
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- Bangladesh
- DRC
- Uganda
- Multi-country
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Dissemination event in Côte d’Ivoire with D4I and CERA Group © 2023 D4I |
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Join the Measure Program as a Senior Editor and Publication Specialist at the Carolina Population Center. This position provides high-level editorial services for the Knowledge Management (KM) and Knowledge Translation (KT) team. Click here to learn more and apply by October 11th.
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This email was produced with the support of the United States Agency for International Development (USAID) under the terms of the Data for Impact (D4I) associate award 7200AA18LA00008, which is implemented by the Carolina Population Center at the University of North Carolina at Chapel Hill, in partnership with Palladium International, LLC; ICF Macro, Inc.; John Snow, Inc.; and Tulane University. The views expressed do not necessarily reflect the views of USAID or the United States government.
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