Evidence map›Paper›PMID 41260888›Full record

Trial reportBMJ global health2025

An extended cost-effectiveness analysis of decentralised TB diagnostic testing with Molbio Truenat MTB/RIF versus hub-and-spoke GeneXpert MTB/RIF in Mozambique and Tanzania.

Saima Bashir, Lelisa Fekadu Assebe, Akash Malhotra, Délio Elísio, Antonio Machiana, Anange Lwilla, Jerry Hella, Neenah Young, Mikaela Watson, Vinzeigh Leukes and 6 more

Abstract readMulticenter StudyRandomized Controlled Trial
In one paragraph

Trial report 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.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

16 authors.

Saima BashirDepartment of Infectious Disease and Tropical Medicine, Heidelberg University Hospital, Heidelberg, Germany.ORCID 0000-0002-4558-9432
Lelisa Fekadu AssebeGlobal Public Health and Primary Care Medicine, University of Bergen, Bergen, Norway.ORCID 0000-0002-7857-3349
Akash MalhotraDepartment of Global Health, University of Washington, Seattle, Washington, USA.
Délio ElísioCentro de Investigação em Saúde de Manhiça Manhiça, Maputo, Mozambique.
Antonio MachianaInstituto Nacional de Saúde (INS), Marracuene, Mozambique.
Anange LwillaNational Institute for Medical Research, Dar es Salaam, Tanzania.
Jerry HellaTuberculosis Research Group, Ifakara Health Institute, Ifakara, Tanzania.
Neenah YoungDepartment of Epidemiology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland, USA.
Mikaela WatsonFIND, Geneva, Switzerland.
Vinzeigh LeukesFIND, Geneva, Switzerland.
Adam Penn-NicholsonFIND, Geneva, Switzerland.
Morten RuhwaldFIND, Geneva, Switzerland.
Leyla LarssonInfectious Diseases and Tropical Medicine, Ludwig Maximilians University Munich, Munchen, Germany.ORCID 0000-0003-4869-4630
David DowdyDepartment of International Health, Bloomberg School of Public Health, The Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Manuela De AllegriHeidelberg Institute of Global Health, Heidelberg University, Heidelberg, Germany.ORCID 0000-0002-8677-1337
Claudia M DenkingerCenter of Infectious Disease, Heidelberg University, Heidelberg, Germany Claudia.Denkinger@uni-heidelberg.de.ORCID 0000-0002-7216-7067

Funding

Rapid Research for Diagnostics Development in TB Network (R2D2 TB Network)U01AI152087 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI CATTAMANCHI, ADITHYA, DENKINGER, CLAUDIA MARIA · 2020 to 2024
$19.3M
NIAID NIH HHS U01 AI152087
6 · The paper itself

Abstract

backgroundIn low- and middle-income countries (LMICs), tuberculosis (TB) regained its status as the leading cause of death from a single infectious agent in 2023, surpassing COVID-19. Rapid and accurate diagnosis is critical, with decentralised diagnostic strategies offering a promising solution. Although decentralised diagnostic strategies have been proven cost-effective, further evidence is needed on affordability and equity in high-burden settings. This study, part of a multicentre real-world cluster-randomised controlled trial (cRCT), assessed implementation costs and out-of-pocket (OOP) expenditures across socioeconomic status (SES) groups from a societal perspective.

methodsThe TB-CAPT Core trial compared decentralised point-of-care TB testing using the Molbio Truenat platform (intervention) with the hub-and-spoke Xpert MTB/RIF Ultra model (control) in Tanzania and Mozambique. Economic data were collected as part of the trial along with asset ownership information using an equity tool. Multiple correspondence analysis was used to construct an asset index for each country. Extended cost-effectiveness analysis estimated incremental participant costs for TB diagnosis and health outcomes (number of participants who initiated treatment within seven and sixty days) across SES groups. Distributional cost-effectiveness analysis assessed facility-based diagnostic cost per treatment initiated from a societal perspective across SES groups. Regression analyses explored the intervention's impact on direct, indirect and total costs.

resultsAverage OOP expenditures were lower in the intervention arm (US$8.82) than in the control group (US$13.61). Regression analysis confirmed a significant cost reduction. Least poor participants experienced greater cost-savings (-US$6.36 vs -US$2.93), while the poorest had a higher number of TB treatment initiations within 7 days of diagnosis (poorest vs least poor: 28 vs 8). The incremental cost-effectiveness ratio for the poorest group was US$778, whereas for the other two groups, the intervention showed higher treatment initiation (52 vs 36 for middle, 33 vs 25 for least poor) at lower costs than the standard of care.

conclusionThe intervention reduced patient costs and improved outcomes across SES groups. Decentralised TB testing with the Molbio Truenat platform is both cost-saving and more effective and cost-effective compared with a hub-and-spoke model in Mozambique and Tanzania.

Indexed as

Cost-Benefit AnalysisDiagnostic Tests, RoutinePoint-of-Care TestingTuberculosisAdultCost-Effectiveness AnalysisFemaleHumansMaleMozambiqueTanzaniaHealth economicsTuberculosis

Identifiers

PMID41260888
PMCPMC12636946

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.