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In order to be most cost-effective and equitable, especially when budgets are constrained, health programs must be rigorously evaluated, so policymakers can make decisions with knowledge of what works and what doesn’t. CGD offers suggestions to improve how evaluations are done, to create incentives to undertake good evaluations in the first place, and to encourage the use of evaluation results in the design of future health programs.
We examine alternative strategies for targeted sampling of health clinics for independent verification. Our results indicate that machine learning methods, particularly Random Forest, outperform other approaches and can increase the cost-effectiveness of verification activities.
As developing nations are increasingly adopting economic evaluation as a means of informing their own investment decisions, new questions emerge. The right answer to the question “which perspective?” is the one tailored to these local specifics. We conclude that there is no one-size-fits-all and that the one who pays must set or have a major say in setting the perspective.
Clear and rigorous evidence on the contributions of US global health programs is more important than ever, as the White House and lawmakers discuss and debate budgets and the future of US support to global health. Such information aids policymakers who must prioritize support to effective public health programs.
With the US Congress considering cuts to foreign assistance and aid budgets in other donor countries coming under increased pressure, evidence about what works in global development is more important than ever. Evidence should inform decisions on where to allocate scarce resources—but to do so, evaluations must be of good quality.
We assessed the methodological quality of global health program evaluations from five major funders between 2009 and 2014. We found that most evaluations did not meet social science methodological standards in terms of relevance, validity, and reliability. Nevertheless, good quality evaluations made it possible to identify ten recommendations for improving evaluations, including a robust finding that early planning is associated with better quality.
Millions Saved: Proven Success in Global Health details 17 cases in which large-scale efforts to improve health in developing countries have succeeded, saving millions of lives and preserving the livelihoods and social fabric of entire communities.
This Brief is based on the CGD book Millions Saved: Proven Successes in Global Health. The book book features 17 success stories. These cases describe some large-scale efforts to improve health in developing countries that have succeeded - saving millions of lives and preserving the livelihoods and social fabric of entire communities.
Since 2004, the Center for Global Development has been collecting success stories in global health – remarkable cases in which large-scale efforts to improve health in developing countries have succeeded – and releasing them in the book Millions Saved: Case Studies in Global Health (now printed in two editions, with a third edition expected in 2015).
Millions Saved rigorously evaluates 22 programs from Haiti to Botswana, Peru to Pakistan, in order to understand what works in global health and why. Coauthor Amanda Glassman visits the CGD Podcast to share some of the book’s cases and takeaways.