Evidence map›Paper›PMID 39072019›Full record

ArticlemedRxiv : the preprint server for health sciences2024

Cost per episode of diarrhea and respiratory syncytial virus (RSV) in 128 low- and middle-income countries: how well do disease-specific and WHO-CHOICE estimates align?

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

Abstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Xiao LiCentre for Health Economics Research and Modelling Infectious Diseases (CHERMID), University of Antwerp, Belgium.ORCID 0000-0002-1918-1791
Joke BilckeCentre for Health Economics Research and Modelling Infectious Diseases (CHERMID), University of Antwerp, Belgium.ORCID 0000-0001-5720-5291
Ernest O AsarePublic Health Modeling Unit, Yale School of Public Health, Yale University, New Haven, CT, United States.ORCID 0000-0003-4078-8755
Catherine WengerDepartment of Epidemiology of Microbial Diseases, Yale School of Public Health, Yale University, New Haven, CT, United States.ORCID 0009-0002-5564-0630
Jiye KwonPublic Health Modeling Unit, Yale School of Public Health, Yale University, New Haven, CT, United States.ORCID 0000-0002-2707-3547
Louis BontDepartment of Epidemiology of Microbial Diseases, Yale School of Public Health, Yale University, New Haven, CT, United States.ORCID 0000-0003-3099-4475
Philippe BeutelsCentre for Health Economics Research and Modelling Infectious Diseases (CHERMID), University of Antwerp, Belgium.ORCID 0000-0001-5034-3595
Virginia E PitzerPublic Health Modeling Unit, Yale School of Public Health, Yale University, New Haven, CT, United States.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

Objective: Non-disease-specific WHO-CHOICE 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. We use generically defined "diarrhea" (including rotavirus diarrhea) and pathogen-specific "respiratory syncytial virus (RSV)" disease as examples. Methods: We updated systematic reviews for both diseases in low-income (LICs), lower-middle-income (LMICs) and upper-middle-income (UMICs) countries. Diarrheal (including a sub-analysis of rotavirus-specific) and RSV-specific outpatient and inpatient costs per episode were extracted and compared with WHO-CHOICE estimates in the same countries. If a consistent pattern of under- or over-estimation was identified, we quantified the magnitude of the discrepancy. All costs were updated to 2022 international dollar values. Results: Out of 1975 new records identified, 23 new cost studies were included. Including previous reviews, we retained 31 diarrhea and 16 RSV studies for comparison. WHO-CHOICE based direct medical costs were similar for diarrheal disease including rotavirus diarrhea, but lower for RSV-related disease. We estimated the cost per episode of diarrhea and RSV in 128 countries. RSV outpatient cost were adjusted by multiplying WHO-CHOICE costs by 6.89 (95% uncertainty interval: 5.58-8.58) in LICs and LMICs and 5.87 (4.95-6.96) in UMICs; RSV inpatient costs were multiplied by 1.43 (1.01-2.01) and 1.36 (0.82-2.27), respectively. Conclusion: WHO-CHOICE based costs should be used cautiously. They aligned well with studies for diarrheal disease, but underestimate costs of RSV-related disease. More country- and disease-specific cost data are needed, especially for RSV in LICs.

Indexed as

childcostdiarrheahospitalizationinpatientlow-incomemiddle-incomeoutpatientrotavirusRSV

Identifiers

PMID39072019
PMCPMC11275658

What OpenQuestion holds

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Registered trials

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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.