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How to do (or not to do) ... Tracking data on development assistance for health
Karen A Grépin1, Katherine Leach-Kemon, Matthew Schneider
1NYU Robert F Wagner Graduate School of Public Service, 295 Lafayette Street, 3rd Floor, New York, NY 10012-9604, USA. karen.grepin@nyu.edu
Health Policy and Planning
|December 14, 2011
Summary
Development assistance for health (DAH) funding has grown, prompting interest in tracking these global health resources. This review compares available DAH datasets, highlighting their strengths and weaknesses for researchers.
Area of Science:
- Global Health
- Health Economics
- International Development
Background:
- Development assistance for health (DAH) has significantly increased.
- DAH is crucial for improving health and health systems in developing nations.
- Tracking DAH is vital for the global health community.
Purpose of the Study:
- To review and compare existing datasets for tracking DAH.
- To summarize the strengths and weaknesses of each DAH dataset.
- To guide researchers in selecting appropriate datasets for analysis.
Main Methods:
- Systematic review of available DAH datasets.
- Comparative analysis of dataset strengths and weaknesses.
- Identification of data gaps and limitations.
Main Results:
- Multiple DAH datasets exist, each with unique advantages and disadvantages.
- Key differences in data collection, scope, and granularity were identified.
- Specific datasets are better suited for different types of research questions.
Conclusions:
- Researchers must carefully consider dataset characteristics when analyzing DAH.
- Improvements are needed across DAH datasets to enhance accuracy and utility.
- Standardization and enhanced data collection can strengthen DAH tracking.
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