Treatment decision algorithms for tuberculosis screening and diagnosis in children below 5 years hospitalised with severe acute malnutrition: a cost-effectiveness analysis

Marc d’Elbée ; Nyashadzaishe Mafirakureva ORCID logo ; Chishala Chabala ; Minh Huyen Ton Nu Nguyet ; Martin Harker ORCID logo ; Clémentine Roucher ; Gerald Businge ; Perfect Shankalala ; Bwendo Nduna ; Veronica Mulenga ; +4 more... Maryline Bonnet ORCID logo ; Eric Wobudeya ; Olivier Marcy ; Peter J Dodd ; (2025) Treatment decision algorithms for tuberculosis screening and diagnosis in children below 5 years hospitalised with severe acute malnutrition: a cost-effectiveness analysis. eClinicalMedicine, 83. p. 103206. ISSN 2589-5370 DOI: 10.1016/j.eclinm.2025.103206
Copy

Background: Children with severe acute malnutrition (SAM) are an important risk group for underdiagnosis and death from tuberculosis. In 2022, the World Health Organization (WHO) recommended use of treatment decision algorithms (TDAs) for tuberculosis diagnosis in children. There is currently no cost-effectiveness evidence for TDA-based approaches compared to routine practice. Methods: The TB-Speed SAM study developed i) a one-step TDA including Xpert, clinical, radiological and echography features, and ii) a two-step TDA, which also included a screening phase, for children under 5 years hospitalised with SAM at three tertiary hospitals in Uganda and Zambia from 4th November 2019 to 20th June 2022. This study is registered with ClinicalTrials.gov, NCT04240990. We assessed the diagnostic accuracy and cost-effectiveness of deploying TB-Speed and WHO TDA-based approaches compared to the standard of care (SOC). Estimated outcomes included children started on tuberculosis treatment, false positive rates, disability-adjusted life years (DALYs) and incremental cost-effectiveness ratios (ICERs). Findings: Per 100 children hospitalised with SAM, averaging 19 children with tuberculosis, the one-step TDA initiated 17 true positive children (95% uncertainty intervals [UI]: 12–23) on tuberculosis treatment, the two-step TDA 15 (95%UI: 10–22), the WHO TDA 14 (95%UI: 9–19), and SOC 4 (95%UI: 2–9). The WHO TDA generated the most false positives (35, 95%UI: 24–46), followed by the one-step TDA (18, 95%UI: 6–29), the two-step TDA (14, 95%UI: 1–25), and SOC (11, 95%UI: 3–17). All TDA-based approaches had ICERs below plausible country cost-effectiveness thresholds compared to SOC (one-step: $44–51/DALY averted, two-step: $34–39/DALY averted, WHO: $40–46/DALY averted). Interpretation: Our findings show that these TDA-based approaches are highly cost-effective for the vulnerable group of children hospitalised with SAM, compared to current practice. Funding: Unitaid Grant number: 2017-15-UBx-TB-SPEED.


picture_as_pdf
TB-Speed-SAM-Study-Group-2025-Treatment-decision-algorithms-for-tuberculosis-screening.pdf
subject
Published Version
Available under Creative Commons: Attribution 4.0

View Download

Atom BibTeX OpenURL ContextObject in Span Multiline CSV OpenURL ContextObject Dublin Core Dublin Core MPEG-21 DIDL Data Cite XML EndNote HTML Citation JSON MARC (ASCII) MARC (ISO 2709) METS MODS RDF+N3 RDF+N-Triples RDF+XML RIOXX2 XML Reference Manager Refer Simple Metadata ASCII Citation EP3 XML
Export

Downloads