Evidence map›Paper›PMID 40850784›Full record

ArticleBMJ global health2025

How well do disease-specific studies and WHO-CHOICE cost estimates align? Example of estimating cost per episode of diarrhoea and respiratory syncytial virus in 128 low-income and middle-income countries.

Xiao Li, Joke Bilcke, Ernest O Asare, Catherine Wenger, Jiye Kwon, Louis Bont, Philippe Beutels, Virginia E Pitzer

Abstract read
In one paragraph

Article in BMJ global health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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0cells of the map it votes in
2citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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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

2 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Xiao LiPublic Health Modeling Unit, Yale School of Public Health, Yale University, New Haven, Connecticut, USA xiao.li@uantwerpen.be.ORCID 0000-0002-1918-1791
Joke BilckePublic Health Modeling Unit, Yale School of Public Health, Yale University, New Haven, Connecticut, USA.
Ernest O AsareDepartment of Epidemiology of Microbial Diseases, Yale School of Public Health, Yale University, New Haven, Connecticut, USA.ORCID 0000-0003-4078-8755
Catherine WengerCentre for Health Economics Research and Modelling Infectious Diseases (CHERMID), University of Antwerp, Antwerp, Belgium.
Jiye KwonDepartment of Epidemiology of Microbial Diseases, Yale School of Public Health, Yale University, New Haven, Connecticut, USA.ORCID 0000-0002-2707-3547
Louis BontCentre for Health Economics Research and Modelling Infectious Diseases (CHERMID), University of Antwerp, Antwerp, Belgium.
Philippe BeutelsPublic Health Modeling Unit, Yale School of Public Health, Yale University, New Haven, Connecticut, USA.
Virginia E PitzerDepartment of Epidemiology of Microbial Diseases, Yale School of Public Health, Yale University, New Haven, Connecticut, USA.ORCID 0000-0003-1015-2289

Funding

Modeling the impact and cost-effectiveness of next-generation rotavirus vaccine strategies in low- and middle-income countriesR01AI112970 · NIAID · YALE UNIVERSITY · PI PITZER, VIRGINIA E · 2015 to 2024
$4.1M
Predicting and monitoring variations in the effects of vaccines against RSVR01AI137093 · NIAID · YALE UNIVERSITY · PI Virginia E Pitzer, Daniel Martin Weinberger · 2018 to 2026
$3.4M
NIAID NIH HHS R01 AI112970NIAID NIH HHS R01 AI137093
6 · The paper itself

Abstract

objectiveNon-disease-specific WHO-CHOICE (CHOosing Interventions that are Cost-Effective) unit costs are often used in cost and cost-effectiveness studies in the absence of country-specific data. This study aims to compare reported country-specific disease costs and the corresponding WHO-CHOICE estimates, using generically defined 'diarrhoea' (including rotavirus diarrhoea) and pathogen-specific 'respiratory syncytial virus (RSV)' disease in children as examples.

methodsWe updated systematic reviews for both diseases in low-income (LICs), lower middle-income (LMICs) and upper middle-income (UMICs) countries. Diarrhoeal (including a subanalysis of rotavirus-specific diarrhoea) and RSV-specific outpatient and inpatient costs per episode in children were extracted and compared with WHO-CHOICE estimates in the same countries. All costs were updated to 2022 international dollar values. If a consistent pattern of underestimation or overestimation was identified, we quantified the magnitude of the discrepancy as the ratio of published disease-specific costs and corresponding WHO-CHOICE-based estimates.

resultsOut of 1979 records identified, 23 cost studies were included. Including previous reviews, we retained 31 diarrhoea and 16 RSV studies for comparison. WHO-CHOICE-based direct medical costs were similar for diarrhoeal disease (including rotavirus diarrhoea), but lower for RSV-related disease. We estimated the cost per episode of diarrhoea and RSV in 128 countries. RSV outpatient costs were adjusted by multiplying WHO-CHOICE costs by 6.89 (95% uncertainty interval: 5.58 to 8.58) in LICs and LMICs and 5.87 (4.95 to 6.96) in UMICs; RSV inpatient costs were multiplied by 1.43 (1.01 to 2.01) and 1.36 (0.82 to 2.27), respectively.

conclusionWhile informative for economic evaluations, WHO-CHOICE-based cost estimates should be used cautiously. Our analysis shows they aligned well with empirical studies for diarrhoeal disease but underestimated the costs of RSV-related disease. For diseases with few country-specific costing studies, comparing findings of the empirical studies with WHO-CHOICE estimates is crucial before conducting economic evaluations for countries without data. We propose a simple approach for calculating adjustment factors for WHO-CHOICE estimates when empirical data on disease-specific diagnosis and treatment costs are limited.

Indexed as

Developing CountriesDiarrheaHealth Care CostsRespiratory Syncytial Virus InfectionsCost-Benefit AnalysisHumansRotavirus InfectionsWorld Health OrganizationDecision MakingHealth economicsRespiratory infectionsReview

Identifiers

PMID40850784
PMCPMC12382583

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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.