Evidence map›Paper›PMID 32412153›Full record

ArticleHealth economics2020

Growth and capacity for cost-effectiveness analysis in Africa.

Ari D Panzer, Joanna G Emerson, Brittany D'Cruz, Avnee Patel, Saudamini Dabak, Wanrudee Isaranuwatchai, Yot Teerawattananon, Daniel A Ollendorf, Peter J Neumann, David D Kim

Open access · hybridAbstract read
In one paragraph

Article in Health economics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 3 pooled it
13.4field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

28 citing papers in PubMed, 3 syntheses or guidelines pooled it, 53 citations in OpenAlex.

  1. Pooled it
  2. A systematic review of the methodological quality of economic evaluations in genetic screening and testing for monogenic disorders.Genetics in medicine : official journal of the American College of Medical Genetics · 2022
    Pooled it
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  10. A New eHealth Investment Appraisal Framework for Africa: Validation.International journal of environmental research and public health · 2023
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors at 2 institutions in 4 countries.

Ari D PanzerCenter for the Evaluation of Value and Risk in Health, Tufts Medical Center, Boston, Massachusetts, USA.
Joanna G EmersonCenter for the Evaluation of Value and Risk in Health, Tufts Medical Center, Boston, Massachusetts, USA.
Brittany D'CruzCenter for the Evaluation of Value and Risk in Health, Tufts Medical Center, Boston, Massachusetts, USA.
Avnee PatelHealth Intervention and Technology Assessment Program (HITAP), Ministry of Public Health, Nonthaburi, Thailand.
Saudamini DabakHealth Intervention and Technology Assessment Program (HITAP), Ministry of Public Health, Nonthaburi, Thailand.ORCID 0000-0001-6161-6165
Wanrudee IsaranuwatchaiHealth Intervention and Technology Assessment Program (HITAP), Ministry of Public Health, Nonthaburi, Thailand.
Yot TeerawattananonHealth Intervention and Technology Assessment Program (HITAP), Ministry of Public Health, Nonthaburi, Thailand.
Daniel A OllendorfCenter for the Evaluation of Value and Risk in Health, Tufts Medical Center, Boston, Massachusetts, USA.
Peter J NeumannCenter for the Evaluation of Value and Risk in Health, Tufts Medical Center, Boston, Massachusetts, USA.
David D KimCenter for the Evaluation of Value and Risk in Health, Tufts Medical Center, Boston, Massachusetts, USA.ORCID 0000-0002-3383-8972
Tufts Medical Center · USMinistry of Public Health · TH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

Universal Health InsuranceAfrica South of the SaharaCost-Benefit AnalysisDatabases, FactualHumansRegistriesAfricacost-effectiveness analysiseconomic evaluationnetwork analysisuniversal health coverage

Identifiers

PMID32412153
PMCPMC7383734
OpenAlexW3024275232

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.