Trial reportThe Lancet. Global health2023
Digital adherence technologies to improve tuberculosis treatment outcomes in China: a cluster-randomised superiority trial.
Trial report in The Lancet. Global health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 5 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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
37 citing papers in PubMed, 5 syntheses or guidelines pooled it, 56 citations in OpenAlex.
- Effective mHealth interventions to improve tuberculosis treatment adherence in Asia: a systematic review and meta-analysis.BMC public health · 2026Pooled it
- The role of digital health interventions for adults with tuberculosis: a network meta-analysis of randomized controlled trials.Frontiers in medicine · 2026Pooled it
- Digital adherence technology to improve medication adherence in tuberculosis patients: a systematic review and meta-analysis randomized control trials.NPJ primary care respiratory medicine · 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
- Comparative Effectiveness of Digital Health Technologies in Tuberculosis Treatment: Systematic Review and Network Meta-Analysis of Randomized Controlled Trials.JMIR mHealth and uHealth · 2025Pooled it
- Manualised package intervention to achieve treatment adherence in people with tuberculosis: the IMPACT pilot cluster-RCT.Health technology assessment (Winchester, England) · 2026Trial
- The Acceptability of a Real-Time Medication Monitoring-Based Digital Adherence Tool Among Young People Living with HIV in Malawi.AIDS and behavior · 2026Trial
- Trial
- Effectiveness of a mobile health application on treatment outcomes among patients with tuberculosis in Shanghai, China: a multicentre randomised controlled trial.BMJ global health · 2025Trial
- Early adherence predicts treatment outcomes and mortality in people living with HIV and multidrug-resistant tuberculosis.Annals of epidemiology · 2026Article
- Lessons learned from people-centred TB care and support interventions in the Russian Federation.IJTLD open · 2026Article
- Community-based interventions to improve tuberculosis treatment outcomes: A meta-analysis.MethodsX · 2026Review
- Analysis of medical care seeking delay in pulmonary tuberculosis patients and influencing factors in Chongqing, China.BMC public health · 2026Article
- China's TB Portfolio for Advancing the 2030 End TB Goals.China CDC weekly · 2026Article
- Multilevel Interventions to Improve Medication Adherence in Older Adults: A Systematic Review and Meta-Analysis of Cognitive, Digital, Behavioral, and Socioeconomic Strategies (2015-2025).Journal of clinical medicine · 2026Review
- Analysis of the utilization and effectiveness of tuberculosis digital adherence technology in southeastern China.Frontiers in public health · 2026Article
- Pediatric drug-sensitive tuberculosis treatment regimen profiles and treatment outcomes in mainland China, 2017-2022: a multi-center study.BMC infectious diseases · 2025Observational
- Non-Adherence to Treatment Among Patients Attending a Public Primary Healthcare Setting in South Africa: Prevalence and Associated Factors.International journal of environmental research and public health · 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
- A qualitative study on the barriers to tuberculosis treatment adherence using digital adherence technologies (DATs).The Indian journal of medical research · 2025Article
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Authors and funding
17 authors at 5 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundDrug-sensitive tuberculosis treatment requires 6 months of therapy, so adherence problems are common. Digital adherence technologies might improve tuberculosis treatment outcomes. We aimed to evaluate the effect of a daily reminder medication monitor, monthly review of adherence data by the health-care provider, and differentiated care for patients with adherence issues, on tuberculosis treatment adherence and outcomes.
methodsWe did a cluster-randomised superiority trial across four prefectures in China. 24 counties or districts (clusters) were randomly assigned (1:1) to intervention or control groups. We enrolled patients aged 18 years or older with GeneXpert-positive, rifampicin-sensitive pulmonary tuberculosis, who were receiving daily fixed-dose combination treatment. Patients in the intervention group received a medication monitor for daily drug-dosing reminders, monthly review of adherence data by health-care provider, and management of poor adherence; and patients in the control group received routine care (silent-mode monitor-measured adherence). Only the independent endpoints review committee who assessed endpoint data for some participants were masked to study group assignment. Patients were followed up (with sputum solid culture) at 12 and 18 months. The primary outcome was a composite of death, loss to follow-up, treatment failure, switch to multidrug-resistant tuberculosis treatment, or tuberculosis recurrence by 18 months from treatment start, analysed in the intention-to-treat population. Analysis accounted for study design with multiple imputation for the primary outcome. This trial is now complete and is registered with ISRCTN, 35812455.
findingsBetween Jan 26, 2017, and April 3, 2019, 15 257 patients were assessed for eligibility and 3074 were enrolled, 2686 (87%) of whom were included in the intention-to-treat population. 1909 (71%) of 2686 patients were male, 777 (29%) were female, and the median age was 44 years (IQR 29-58). By 18 months from treatment start, using multiple imputation for missing outcomes, 239 (16% [geometric mean of cluster-level proportion]) of 1388 patients in the control group and 224 (16%) of 1298 in the intervention group had a primary composite outcome event (289 [62%] of 463 events were loss to follow-up during treatment and 42 [9%] were tuberculosis recurrence). The intervention had no effect on risk of the primary composite outcome (adjusted risk ratio 1·01, 95% CI 0·73-1·40).
interpretationOur digital medication monitor intervention had no effect on unfavourable outcomes, which included loss to follow-up during treatment, tuberculosis recurrence, death, and treatment failure. There was a failure to change patient management following identification of treatment non-adherence at monthly reviews. A better understanding of adherence patterns and how they relate to poor outcomes, coupled with a more timely review of adherence data and improved implementation of differentiated care, may be required.
fundingBill & Melinda Gates Foundation.
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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.