Evidence map›Paper›PMID 41573532›Full record

ArticleSSM - health systems2025

A mixed methods evaluation of 99DOTS digital adherence technology uptake among adolescents treated for pulmonary tuberculosis in Uganda.

P Wambi, S N West, J Nabugoomu, A Kityamuwesi, R Crowder, L Kunihira, E Wobudeya, A Cattamanchi, D Jaganath, A Katamba

Abstract read
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Article in SSM - health systems, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

P WambiUganda Tuberculosis Implementation Research Consortium, Walimu, Kampala, Uganda.
S N WestDivision of Pulmonary and Critical Care Medicine, San Francisco General Hospital, University of California San Francisco, San Francisco, CA, USA.
J NabugoomuUganda Tuberculosis Implementation Research Consortium, Walimu, Kampala, Uganda.
A KityamuwesiUganda Tuberculosis Implementation Research Consortium, Walimu, Kampala, Uganda.
R CrowderDivision of Pulmonary and Critical Care Medicine, San Francisco General Hospital, University of California San Francisco, San Francisco, CA, USA.
L KunihiraUganda Tuberculosis Implementation Research Consortium, Walimu, Kampala, Uganda.
E WobudeyaUganda Tuberculosis Implementation Research Consortium, Walimu, Kampala, Uganda.
A CattamanchiUganda Tuberculosis Implementation Research Consortium, Walimu, Kampala, Uganda.
D JaganathDivision of Pulmonary and Critical Care Medicine, San Francisco General Hospital, University of California San Francisco, San Francisco, CA, USA.
A KatambaUganda Tuberculosis Implementation Research Consortium, Walimu, Kampala, Uganda.

Funding

TB and Other Pulmonary Complications of AIDS Research Training ProgramD43TW009607 · FIC · YALE UNIVERSITY · PI DAVIS, JOHN LUCIAN, KATAMBA, ACHILLES · 2013 to 2022
$3.2M
FIC NIH HHS D43 TW009607
6 · The paper itself

Abstract

Background: Adolescents are at risk of poor adherence to tuberculosis (TB) treatment and subsequently worse treatment outcomes. Digital adherence technologies, including the mobile phone-based 99DOTS platform, can support TB treatment, but there is limited data on their use among adolescents. We evaluated factors associated with uptake of 99DOTS among adolescents with TB. Methods: We conducted an explanatory sequential mixed methods study that utilized quantitative data from adolescents collected at 30 health facilities in Uganda, in-depth and key informant interviews with adolescents diagnosed for TB who were offered 99DOTS, and healthcare workers at participating facilities. Findings were further mapped onto the Capability, Opportunity, Motivation, and Behavior model. Results: Overall, 299/410 (73 %) adolescents were enrolled in 99DOTS. Older adolescents 15-19 years old were more likely to enroll in 99DOTS than younger adolescents 10-14 years [aPR= 1.88, 95 % CI: (1.54-2.33)]. Conversely, adolescents treated at Health Center IV and General Hospitals were less likely to be enrolled compared to Health Center III (aPR= 0.8, 95 % CI, 0.67-0.94, and aPR= 0.71, 95 % CI 0.58-0.85, respectively). Technological savviness among older adolescents, access to training, caregiver involvement, and desire for wellness facilitated uptake of 99DOTS. In contrast, variable mobile phone access, concerns about TB status disclosure, and health worker workload in hospitals were barriers to the uptake of 99DOTS. Conclusion: 99DOTS uptake was high among adolescents with TB. Increased access to mobile phones, and appropriate support from care givers and health workers enable adolescents to engage more effectively with digital adherence technologies like 99DOTS.

Indexed as

Digital adherence technology (DAT)

Identifiers

PMID41573532
PMCPMC12823135

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LicenceCC BY-NC-ND
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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.