4.3 Article

Growth and capacity for cost-effectiveness analysis in Africa

Journal

HEALTH ECONOMICS
Volume 29, Issue 8, Pages 945-954

Publisher

WILEY
DOI: 10.1002/hec.4029

Keywords

Africa; cost-effectiveness analysis; economic evaluation; network analysis; universal health coverage

Funding

  1. Rockefeller Foundation
  2. UK's Department for International Development
  3. Bill & Melinda Gates Foundation [OPP1134345]
  4. Thailand Research Fund (TRF) [RTA5980011]
  5. Health Intervention and Technology Assessment Program (HITAP)

Ask authors/readers for more resources

As economic evaluation becomes increasingly essential to support universal health coverage (UHC), we aim to understand the growth, characteristics, and quality of cost-effectiveness analyses (CEA) conducted for Africa and to assess institutional capacity and relationship patterns among authors. We searched the Tufts Medical Center CEA Registries and four databases to identify CEAs for Africa. After extracting relevant information, we examined study characteristics, cost-effectiveness ratios, individual and institutional contribution to the literature, and network dyads at the author, institution, and country levels. The 358 identified CEAs for Africa primarily focused on sub-Saharan Africa (96%) and interventions for communicable diseases (77%). Of 2,121 intervention-specific ratios, 8% were deemed cost-saving, and most evaluated immunizations strategies. As 64% of studies included at least one African author, we observed widespread collaboration among international researchers and institutions. However, only 23% of first authors were affiliated with African institutions. The top producers of CEAs among African institutions are more adherent to methodological and reporting guidelines. Although economic evidence in Africa has grown substantially, the capacity for generating such evidence remains limited. Increasing the ability of regional institutions to produce high-quality evidence and facilitate knowledge transfer among African institutions has the potential to inform prioritization decisions for designing UHC.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.3
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available