Evidence map›Paper›PMID 37980524›Full record

ArticleBMC health services research2023

Cost of digital technologies and family-observed DOT for a shorter MDR-TB regimen: a modelling study in Ethiopia, India and Uganda.

Laura Rosu, Jason Madan, Gay Bronson, Jasper Nidoi, Mamo G Tefera, Muniyandi Malaisamy, Bertel S Squire, Eve Worrall

Abstract read
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Article in BMC health services research, 2023. 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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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

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Laura RosuClinical Sciences Department, Liverpool School of Tropical Medicine, Liverpool, UK. laura.rosu@lstmed.ac.uk.
Jason MadanWarwick Medical School, University of Warwick, Coventry, UK.
Gay BronsonVital Strategies, New York, NY, USA.
Jasper NidoiMakerere University Lung Institute, Kampala, Uganda.
Mamo G TeferaAddis Ababa Science and Technology University, Addis Ababa, Ethiopia.
Muniyandi MalaisamyNational Institute for Research in Tuberculosis, Chennai, India.
Bertel S SquireClinical Sciences Department, Liverpool School of Tropical Medicine, Liverpool, UK.
Eve WorrallLiverpool School of Tropical Medicine, Vector Biology Department, Liverpool, UK.

Funding

Medical Research Council MC_UU_12023/26United States Agency for International Development GHN-A-00-08-0004-00
6 · The paper itself

Abstract

backgroundIn 2017, the WHO recommended the use of digital technologies, such as medication monitors and video observed treatment (VOT), for directly observed treatment (DOT) of drug-susceptible TB. The WHO's 2020 guidelines extended these recommendations to multidrug-resistant tuberculosis (MDR-TB), based on low evidence. The impact of COVID on health systems and patients underscored the need to use digital technologies in the management of MDR-TB.

methodsA decision-tree model was developed to explore the costs of several potential DOT alternatives: VOT, 99DOTS (Directly-observed Treatment, Short-course) and family-observed DOT. Assuming a 9-month, all-oral regimen (as evaluated within the STREAM trial), we constructed base-case cost models for the standard-of-care DOTs in Ethiopia, India, and Uganda, as well as for the three alternative DOT approaches. The models were populated with STREAM Stage 2 clinical trial outcome and cost data, supplemented with market prices data for the digital DOT strategies. Sensitivity analyses were conducted on key parameters.

resultsModelling suggested that the standard-of-care DOT approach is the most expensive DOT strategy from a societal perspective in all three countries evaluated (Ethiopia, India, Uganda), with considerable direct- and indirect-costs incurred by patients. The second most expensive DOT approach is VOT, with high health-system costs, largely caused by up-front technology expenditure. Each of VOT, 99DOTS and family-observed DOT would reduce by more than 90% patients' direct and indirect costs compared to standard of care DOT. Results were robust to the sensitivity analyses.

conclusionsWhile data on the costs and efficacy of alternative DOT approaches in the context of shorter MDR-TB treatment is limited, our modelling suggests alternative DOT approaches can significantly reduce patient costs in all three countries. Health system costs are higher for VOT and lower for 99DOTS and family-observed therapy when compared to standard of care DOT, as low smartphone penetration and internet availability requires the VOT health system to fund the cost of making them available to patients.

Indexed as

Antitubercular AgentsTuberculosis, Multidrug-ResistantDigital TechnologyDirectly Observed TherapyEthiopiaHumansIndiaUgandaAntitubercular AgentsCostDigital technologyDOTMDR-TBShorter regimenTuberculosis

Identifiers

PMID37980524
PMCPMC10657602

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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.