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Displaying 1 - 10 of 18
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Blog Post
Health Insurance in India: Shankar Prinja on the CGD Podcast
Javier Guzman
March 14, 2022
CGD's Javier Guzman speaks with the Indian National Health Authority's Shankar Prinja about the structure and benefits of the PMJAY insurance scheme, the challenges of large-scale programs, and the need for researchers and policymakers to work together to produce and make use of evidence on what wor...
Blog Post
The Benefits and Challenges of Developing and Revising Health Benefits Packages: Insights From Technical Experts in Eleven Low- and Middle-Income Countries
Y-Ling Chi et al.
December 01, 2021
We worked with the Joint Learning Network (JLN) Efficiency Collaborative to gain insights from Collaborative members who represent technical staff and decision-makers working at the heart of health benefit packages development and revisions in eleven low-and middle-income countries in Africa and Asi...
Blog Post
Aligning the Researcher’s Toolkit with the Policymaker’s Priorities: A Menu of Strategies for Faster, Lower-Cost Impact Evaluations
Janeen Madan Keller
and
Julia Kaufman
August 18, 2021
As the COVID-19 pandemic continues to rage and public funding is increasingly scarce, the need for high-quality, timely evidence on the effectiveness of public programs has never been clearer. In this blog, we share a top-line summary of the methodological and data advances alongside recommenda...
Blog Post
How More and Better Funding Can Unlock the Potential of Evidence-to-Policy Partnerships
Janeen Madan Keller
and
Julia Kaufman
August 18, 2021
Today, we are excited to launch a background paper by our colleague Abeba Taddese that explores how these partnerships work, barriers that hinder progress, and ideas for what funders can do to help advance partnership models (alongside a complementary piece focused on rapid rigorous evaluations). Th...
WORKING PAPERS
Management, Supervision, and Healthcare: A Field Experiment
Felipe A. Dunsch et al.
April 14, 2021
We used a randomized management consulting intervention with 80 public-sector healthcare facilities in Nigeria to study the role of information, training, and supervision on the adoption of improved organizational practices.
Blog Post
As Global Health Players Pivot To COVID-19 Responses, We Need Coordinated, Real-Time, Formative Evaluations
Pippa Page et al.
June 03, 2020
An estimated $15.9 trillion has been mobilised to respond to the health and economic impact of the COVID-19 pandemic. Some of this has gone to multilateral and bilateral funders to support low- and middle-income countries’ (LMIC) governments. But how is this money being spent, and how is it impactin...
Blog Post
Uncertainty Matters: Investing in Pragmatic Research for Learning Healthcare Systems
Kalipso Chalkidou
and
Y-Ling Chi
November 20, 2019
With the 2019 Nobel prize for economics going to Western economists combating poverty in LMICs through RCT-generated evidence, the time is ripe for the global community and national leaders to invest in a similar and yet different type of capacity: local pragmatic research infrastructure for learnin...
Blog Post
The Right Tools for the Job: When to Use CEA and When to Use BCA for Evaluating Health Policies
Kalipso Chalkidou et al.
February 04, 2019
As countries strive to achieve the Sustainable Development Goals, including attaining and sustaining universal health coverage, decision-makers are increasingly using economic evaluation to drive macro policy choices and more granular technology-focused decisions. In a recent study, we discuss ...
Blog Post
On World AIDS Day, a Moment for Celebration and Self-Reflection
Amanda Glassman
and
Rachel Silverman
December 03, 2018
On World AIDS Day, December 1, we honor the advocates that transformed HIV/AIDS from a death sentence to a chronic disease. These activists bequeathed a golden age of global health—a boom in money and programs that is sustained today, evidenced by the recent reauthorization of PEPFAR. But...
WORKING PAPERS
Using Supervised Learning to Select Audit Targets in Performance-Based Financing in Health: An Example from Zambia - Working Paper 481
Dhruv Grover et al.
April 11, 2018
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.  

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