Evidence map›Paper›PMID 37847703›Full record

ArticlePloS one2023

Cost-effectiveness of incorporating Ebola prediction score tools and rapid diagnostic tests into a screening algorithm: A decision analytic model.

Antoine Oloma Tshomba, Daniel Mukadi-Bamuleka, Anja De Weggheleire, Olivier M Tshiani, Charles T Kayembe, Placide Mbala-Kingebeni, Jean-Jacques Muyembe-Tamfum, Steve Ahuka-Mundeke, Faustin M Chenge, Bart Karl M Jacobs and 3 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 47% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. Article
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

13 authors at 6 institutions in 3 countries.

Antoine Oloma TshombaDepartment of Public Health, University of Kisangani, Kisangani, Democratic Republic of Congo (DRC).ORCID 0000-0003-2440-8468
Daniel Mukadi-BamulekaNational Institute for Biomedical Research, Kinshasa, DRC.
Anja De WeggheleireDepartment of Tropical Medicine, University of Kinshasa, Kinshasa, DRC.
Olivier M TshianiNational Institute for Biomedical Research, Kinshasa, DRC.
Charles T KayembeDepartment of Internal Medicine, University of Kisangani, Kisangani, DRC.
Placide Mbala-KingebeniNational Institute for Biomedical Research, Kinshasa, DRC.
Jean-Jacques Muyembe-TamfumNational Institute for Biomedical Research, Kinshasa, DRC.
Steve Ahuka-MundekeNational Institute for Biomedical Research, Kinshasa, DRC.
Faustin M ChengeDepartment of Public Health, University of Kisangani, Kisangani, Democratic Republic of Congo (DRC).
Bart Karl M JacobsDepartment of Clinical Sciences, Institute of Tropical Medicine, Antwerp, Belgium.
Dieudonné N MumbaNational Institute for Biomedical Research, Kinshasa, DRC.ORCID 0000-0002-5886-2004
Désiré D Tshala-KatumbayNational Institute for Biomedical Research, Kinshasa, DRC.
Sabue MulanguNational Institute for Biomedical Research, Kinshasa, DRC.
University of Kinshasa · CDInstituut voor Tropische Geneeskunde · BENational Institute of Biomedical Research · CDOregon Health & Science University · USUniversité de Kisangani · CDUniversity of Lubumbashi · CD

Funding

NeuroEbolaR01EY031894 · NEI · OREGON HEALTH & SCIENCE UNIVERSITY · PI MUMBA, NGOYI, MWANZA, JEAN-CLAUDE · 2021 to 2024
$2.2M
NEI NIH HHS R01 EY031894
6 · The paper itself

Abstract

backgroundNo distinctive clinical signs of Ebola virus disease (EVD) have prompted the development of rapid screening tools or called for a new approach to screening suspected Ebola cases. New screening approaches require evidence of clinical benefit and economic efficiency. As of now, no evidence or defined algorithm exists.

objectiveTo evaluate, from a healthcare perspective, the efficiency of incorporating Ebola prediction scores and rapid diagnostic tests into the EVD screening algorithm during an outbreak.

methodsWe collected data on rapid diagnostic tests (RDTs) and prediction scores' accuracy measurements, e.g., sensitivity and specificity, and the cost of case management and RDT screening in EVD suspect cases. The overall cost of healthcare services (PPE, procedure time, and standard-of-care (SOC) costs) per suspected patient and diagnostic confirmation of EVD were calculated. We also collected the EVD prevalence among suspects from the literature. We created an analytical decision model to assess the efficiency of eight screening strategies: 1) Screening suspect cases with the WHO case definition for Ebola suspects, 2) Screening suspect cases with the ECPS at -3 points of cut-off, 3) Screening suspect cases with the ECPS as a joint test, 4) Screening suspect cases with the ECPS as a conditional test, 5) Screening suspect cases with the WHO case definition, then QuickNavi™-Ebola RDT, 6) Screening suspect cases with the ECPS at -3 points of cut-off and QuickNavi™-Ebola RDT, 7) Screening suspect cases with the ECPS as a conditional test and QuickNavi™-Ebola RDT, and 8) Screening suspect cases with the ECPS as a joint test and QuickNavi™-Ebola RDT. We performed a cost-effectiveness analysis to identify an algorithm that minimizes the cost per patient correctly classified. We performed a one-way and probabilistic sensitivity analysis to test the robustness of our findings.

resultsOur analysis found dual ECPS as a conditional test with the QuickNavi™-Ebola RDT algorithm to be the most cost-effective screening algorithm for EVD, with an effectiveness of 0.86. The cost-effectiveness ratio was 106.7 USD per patient correctly classified. The following algorithms, the ECPS as a conditional test with an effectiveness of 0.80 and an efficiency of 111.5 USD per patient correctly classified and the ECPS as a joint test with the QuickNavi™-Ebola RDT algorithm with an effectiveness of 0.81 and a cost-effectiveness ratio of 131.5 USD per patient correctly classified. These findings were sensitive to variations in the prevalence of EVD in suspected population and the sensitivity of the QuickNavi™-Ebola RDT.

conclusionsFindings from this study showed that prediction scores and RDT could improve Ebola screening. The use of the ECPS as a conditional test algorithm and the dual ECPS as a conditional test and then the QuickNavi™-Ebola RDT algorithm are the best screening choices because they are more efficient and lower the number of confirmation tests and overall care costs during an EBOV epidemic.

Indexed as

Hemorrhagic Fever, EbolaAlgorithmsCost-Benefit AnalysisDiagnostic Tests, RoutineHumansRapid Diagnostic TestsSensitivity and Specificity

Identifiers

PMID37847703
PMCPMC10581462
OpenAlexW4387701120

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.