ArticlePatient preference and adherence2017
Text messaging to decrease tuberculosis treatment attrition in TB-HIV coinfection in Uganda.
Article in Patient preference and adherence, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 6 of them syntheses that pooled 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.
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.
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Who cites it
33 citing papers in PubMed, 6 syntheses or guidelines pooled it.
- Barriers to and enablers of adherence to the treatment of active drug-sensitive tuberculosis in people living with HIV: a mixed method systematic review.BMC public health · 2025Pooled it
- The impact of digital adherence technologies on treatment outcomes, adherence, and patient-reported outcomes in tuberculosis: a systematic review and meta-analysis.BMC infectious diseases · 2025Pooled it
- Improving cascade outcomes for active TB: A global systematic review and meta-analysis of TB interventions.PLoS medicine · 2023Pooled it
- eHealth in TB clinical management.The international journal of tuberculosis and lung disease : the official journal of the International Union against Tuberculosis and Lung Disease · 2022Pooled it
- Does phone messaging improves tuberculosis treatment success? A systematic review and meta-analysis.BMC infectious diseases · 2020Pooled it
- Adherence interventions and outcomes of tuberculosis treatment: A systematic review and meta-analysis of trials and observational studies.PLoS medicine · 2018Pooled it
- Feasibility and acceptability of the smart pillbox and medication label with differentiated care to support person-centered tuberculosis care among ASCENT trial participants - A multicountry study.Frontiers in public health · 2024Trial
- An Interactive Voice Response Software to Improve the Quality of Life of People Living With HIV in Uganda: Randomized Controlled Trial.JMIR mHealth and uHealth · 2021Trial
- Implementing mHealth Interventions in a Resource-Constrained Setting: Case Study From Uganda.JMIR mHealth and uHealth · 2020Trial
- Low male partner attendance after syphilis screening in pregnant women leads to worse birth outcomes: the Syphilis Treatment of Partners (STOP) randomised control trial.Sexual health · 2020Trial
- Experiences and intentions of Ugandan household tuberculosis contacts receiving test results via text message: an exploratory study.BMC public health · 2020Trial
- Adaptation of a Smartphone-Based Mobile Health Program to Support Person-Centered Treatment of Tuberculosis in Kilimanjaro, Tanzania: Preimplementation Qualitative Needs Assessment.JMIR formative research · 2026Article
- Identification and mapping of mHealth interventions applied in palliative care in Sub Saharan Africa: a scoping review.BMC palliative care · 2026Article
- Exploring community-based reporting of livestock abortions for rift valley fever and brucellosis surveillance in Uganda: a pilot study.Scientific reports · 2025Article
- Effect of SMS Reminders, Telephone Calls, and Transport Incentives on Enhancing the Completion of Tuberculosis Diagnosis and Initiation of Treatment for Diagnosed Patients: Protocol for a Randomized Controlled Trial.JMIR research protocols · 2025Article
- Contextual factors influencing implementation of tuberculosis digital adherence technologies: a scoping review guided by the RE-AIM framework.BMJ global health · 2025Article
- Implementation outcomes of tuberculosis digital adherence technologies: a scoping review using the RE-AIM framework.BMJ global health · 2025Article
- Implementation bottlenecks of real time medication monitoring (evriMED) for improving adherence to anti-TB drugs among people with tuberculosis in Kilimanjaro, Tanzania.Journal of clinical tuberculosis and other mycobacterial diseases · 2024Article
- Digital Health Interventions to Enhance Tuberculosis Treatment Adherence: Scoping Review.JMIR mHealth and uHealth · 2023Article
- Acceptability and feasibility of digital adherence technologies for drug-susceptible tuberculosis treatment supervision: A meta-analysis of implementation feedback.PLOS digital health · 2023Article
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
backgroundLow tuberculosis (TB) treatment completion rates in sub-Saharan Africa are an important driver of multidrug resistance. Mobile technology-based interventions have been shown to improve adherence to antiretroviral therapy in sub-Saharan Africa. We aimed to test the effect of a short-message service (SMS) intervention on loss to follow-up (LFU). MATERIALS AND
methodsIn this quasi-experimental study, all adult, literate, HIV-infected patients with mobile phone access diagnosed with TB between November 2010 and October 2011 in an urban clinic in Uganda were eligible to receive adherence and appointment reminders and educational quizzes during the first 8 weeks of TB treatment. Their risk of LFU in the first 8 weeks of treatment was compared with that of patients starting treatment between March 2009 and August 2010 using logistic regression.
resultsOne of 183 (0.5%) enrolled patients was lost to FU during the intervention compared to six of 302 (2.0%) in the preintervention control group (RR 0.27, 95% CI 0.03-2.07;
conclusionAn SMS reminder service did not show a clear effect on short-term risk of LFU in this study, which was underpowered due to a lower baseline risk in the control group than expected. The SMS-reminder service was rated highly, and there were no breaches of confidentiality. Important technological barriers have implications for larger-scale implementation, not only for TB but also other disease modalities.
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Registered trials
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.