Evidence map›Paper›PMID 41333418›Full record

ArticleResearch square2025

A Cost Analysis of Implementing Asynchronous Video Directly Observed Therapy for Monitoring Treatment in Patients with Tuberculosis Disease in Uganda.

Wilson Tumuhumbise, Rebecca Kuteesa, Damalie Nakkonde, Esther Buregyeya, Sarah Zalwango, Angella Musiimenta, Juliet N Sekandi

Abstract readPreprint
In one paragraph

Article in Research square, 2025. 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

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

7 authors.

Wilson TumuhumbiseFaculty of Computing and Informatics, Mbarara University of Science and Technology, Mbarara, Uganda, African Health Informatics Research Institute, Digital Health Division, Entebbe, Uganda.ORCID https://orcid.org/0000-0003-1895-9255
Rebecca KuteesaSchool of Public Health, Makerere University, Kampala, Uganda.
Damalie NakkondeSchool of Public Health, Makerere University, Kampala, Uganda.ORCID https://orcid.org/0000-0001-7270-6991
Esther BuregyeyaSchool of Public Health, Makerere University, Kampala, Uganda.ORCID https://orcid.org/0000-0002-4410-8027
Sarah ZalwangoSchool of Public Health, Makerere University, Kampala, Uganda, Kampala Capital City Authority, Department of Public Health Service and Environment, Kampala, Uganda.ORCID https://orcid.org/0000-0002-9539-6110
Angella MusiimentaFaculty of Computing and Informatics, Mbarara University of Science and Technology, Mbarara, Uganda.ORCID https://orcid.org/0000-0003-1983-696X
Juliet N SekandiDepartment of Epidemiology and Biostatistics, College of Public Health, University of Georgia, Athens, GA/USA, Global Health Institute, College of Public Health, University of Georgia, Athens, GA/USA.ORCID https://orcid.org/0000-0003-2430-1396

Funding

Emory/Georgia TB Research Advancement Center (TRAC)P30AI168386 · NIAID · EMORY UNIVERSITY · PI Neel Rajnikant Gandhi, Jyothi Rengarajan · 2022 to 2026
$5.8M
Leveraging Telehealth to Overcome Research Implementation and Data Collection Challenges in the Era of COVID-19R21TW011365 · FIC · UNIVERSITY OF GEORGIA · PI SEKANDI, JULIET NABBUYE · 2019 to 2021
$371k
FIC NIH HHS R21 TW011365NIAID NIH HHS P30 AI168386
6 · The paper itself

Abstract

Background: Video directly observed treatment (VDOT) supports person-centered care and addresses shortcomings of in-person directly observed treatment (DOTS). However, there is limited literature on implementation costs to inform TB program policy in low-resource settings, such as Uganda. Objective: This study aimed to assess the costs associated with implementing the VDOT intervention in Uganda, based on a completed randomized trial. Methods: We carried out a micro-costing analysis. This employed both bottom-up and top-down approaches to estimate health system costs (in 2024 US dollars) of the VDOT intervention. The analysis covered 71 persons with TB from six health facilities in Kampala, Uganda. Results: The estimated overall costs for implementing VDOT in Uganda were $16,037.80 among 71 patients with TB. The estimated per-person costs for VDOT were $220.93. The largest proportion of the overall cost was associated with smartphones and accessories (29.5%), followed by VDOT platform infrastructure costs (21.7%), program support costs (19.5%), and internet data costs used by patients to send the videos (10.2%). The per-person costs of using VDOT are lower than the potential cost of daily transport that would be associated with facility-based DOT. Conclusion: The implementation of VDOT in Kampala was associated with a relatively low cost compared to the projected cost when using the traditional DOT method. This highlights the cost saving benefit to the patients when using remote treatment monitoring with the video technology. A full economic evaluation from the programmatic and societal perspective is recommended to inform the adoption of the VDOT strategy in resource-limited settings.

Indexed as

adherencecost analysisImplementationTuberculosisVideo Directly Observed Treatment

Identifiers

PMID41333418
PMCPMC12668174

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.