ArticleBMC infectious diseases2021
Evaluation of implementation and effectiveness of digital adherence technology with differentiated care to support tuberculosis treatment adherence and improve treatment outcomes in Ethiopia: a study protocol for a cluster randomised trial.
Article in BMC infectious diseases, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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Who cites it
18 citing papers in PubMed, 34 citations in OpenAlex.
- 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
- Early adherence predicts treatment outcomes and mortality in people living with HIV and multidrug-resistant tuberculosis.Annals of epidemiology · 2026Article
- Effects of an Internet of Things-Based Medication Assistance System on Real-World ART Adherence and Treatment Response in People Living with HIV.Journal of clinical medicine · 2026Article
- Rates and Risk Factors for On-Treatment Mortality Among a Cohort of Adults Treated for Drug-Sensitive Tuberculosis: Analysis of Data From the Adherence Support Coalition to End Tuberculosis Consortium in Five Countries.Tropical medicine & international health : TM & IH · 2025Article
- Technology-integrated nursing interventions to improve adherence to tuberculosis medication: a scoping review.BMC nursing · 2025Article
- Engagement With Digital Adherence Technologies as Measures of Intervention Fidelity Among Adults With Drug-Susceptible Tuberculosis and Health Care Providers: Descriptive Analysis Using Data From Cluster-Randomized Trials in Five Countries.JMIR public health and surveillance · 2025Article
- Process Evaluation of Pragmatic Cluster-Randomized Trials of Digital Adherence Technologies for Tuberculosis Treatment Support: A Mixed-Method Study in Five Countries.Tropical medicine and infectious disease · 2025Article
- Designing tuberculosis elimination framework through participatory processes in Ethiopia: Results from stakeholders' discussions.PloS one · 2025Article
- A pragmatic parallel cluster-randomized trial to evaluate the implementation and effectiveness of optimized electronic monitors in improving tuberculosis patients' treatment adherence in China: study protocol.Frontiers in public health · 2025Article
- Modelling the epidemiological and economic impact of digital adherence technologies with differentiated care for tuberculosis treatment in Ethiopia.BMJ global health · 2024Article
- Facilitators and barriers to uptake of digital adherence technologies in improving TB care in Ethiopia: A qualitative study.PLOS digital health · 2024Article
- A conceptual framework on determinants of the integrated tuberculosis control model implementation in China.Frontiers in medicine · 2024Article
- Digital Health Interventions to Enhance Tuberculosis Treatment Adherence: Scoping Review.JMIR mHealth and uHealth · 2023Article
- Barriers and facilitators of implementing electronic monitors to improve adherence and health outcomes in tuberculosis patients: protocol for a systematic review based on the Consolidated Framework for Implementation Research.Health research policy and systems · 2023Article
- Risk factors for poor engagement with a smart pillbox adherence intervention among persons on tuberculosis treatment in Ethiopia.BMC public health · 2023Article
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- Proportional Hazards Model on Attrition and its Predictors in Community Antiretroviral Refill Groups among ART Users in Eastern Ethiopia.Journal of the International Association of Providers of AIDS CareArticle
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Authors and funding
17 authors at 4 institutions in 4 countries.
Funding
Abstract
backgroundDigital adherence technologies (DATs) are recommended to support patient-centred, differentiated care to improve tuberculosis (TB) treatment outcomes, but evidence that such technologies improve adherence is limited. We aim to implement and evaluate the effectiveness of smart pillboxes and medication labels linked to an adherence data platform, to create a differentiated care response to patient adherence and improve TB care among adult pulmonary TB participants. Our study is part of the Adherence Support Coalition to End TB (ASCENT) project in Ethiopia. METHODS/
designWe will conduct a pragmatic three-arm cluster-randomised trial with 78 health facilities in two regions in Ethiopia. Facilities are randomised (1:1:1) to either of the two intervention arms or standard of care. Adults aged ≥ 18 years with drug-sensitive (DS) pulmonary TB are enrolled over 12 months and followed-up for 12 months after treatment initiation. Participants in facilities randomised to either of the two intervention arms are offered a DAT linked to the web-based ASCENT adherence platform for daily adherence monitoring and differentiated response to patient adherence for those who have missed doses. Participants at standard of care facilities receive routine care. For those that had bacteriologically confirmed TB at treatment initiation and can produce sputum without induction, sputum culture will be performed approximately 6 months after the end of treatment to measure disease recurrence. The primary endpoint is a composite unfavourable outcome measured over 12 months from TB treatment initiation defined as either poor end of treatment outcome (lost to follow-up, death, or treatment failure) or treatment recurrence measured 6 months after the scheduled end of treatment. This study will also evaluate the effectiveness, feasibility, and cost-effectiveness of DAT systems for DS-TB patients. DISCUSSION: This trial will evaluate the impact and contextual factors of medication label and smart pillbox with a differentiated response to patient care, among adult pulmonary DS-TB participants in Ethiopia. If successful, this evaluation will generate valuable evidence via a shared evaluation framework for optimal use and scale-up.
trial registrationPan African Clinical Trials Registry PACTR202008776694999, https://pactr.samrc.ac.za/TrialDisplay.aspx?TrialID=12241 , registered on August 11, 2020.
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