ArticleInfectious diseases of poverty2021
Effect of using electronic medication monitors on tuberculosis treatment outcomes in China: a longitudinal ecological study.
Article in Infectious diseases of poverty, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed, 17 citations in OpenAlex.
- 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
- Digital adherence technologies to improve tuberculosis treatment outcomes in China: a cluster-randomised superiority trial.The Lancet. Global health · 2023Trial
- Closing gaps through innovation in the tuberculosis pathology value chain.Journal of clinical tuberculosis and other mycobacterial diseases · 2026Review
- Predicting treatment outcomes in drug-sensitive pulmonary tuberculosis patients in rural eastern China.BMC infectious diseases · 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
- Tuberculosis in older adults: challenges and best practices in the Western Pacific Region.The Lancet regional health. Western Pacific · 2023Review
- Digitizing tuberculosis treatment monitoring in Wuhan city, China, 2020-2021: Impact on medication adherence.Frontiers in public health · 2023Article
- Effect of mobile health reminders on tuberculosis treatment outcomes in Shanghai, China: A prospective cohort study.Frontiers in public health · 2023Article
- Scale-up of a comprehensive model to improve tuberculosis control in China: lessons learned and the way forward.Infectious diseases of poverty · 2021Article
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Authors and funding
11 authors at 5 institutions in 4 countries.
Funding
Abstract
backgroundIn China, an indigenously developed electronic medication monitor (EMM) was designed and used in 138 counties from three provinces. Previous studies showed positive results on accuracy, effectiveness, acceptability, and feasibility, but also found some ineffective implementations. In this paper, we assessed the effect of implementation of EMMs on treatment outcomes.
methodsThe longitudinal ecological method was used at the county level with aggregate secondary programmatic data. All the notified TB cases in 138 counties were involved in this study from April 2017 to June 2019, and rifampicin-resistant cases were excluded. We fitted a multilevel model to assess the relative change in the quarterly treatment success rate with increasing quarterly EMM coverage rate, in which a mixed effects maximum likelihood regression using random intercept model was applied, by adjusting for seasonal trends, population size, sociodemographic and clinical characteristics, and clustering within counties.
resultsAmong all 69 678 notified TB cases, the treatment success rate was slightly increased from 93.5% [95% confidence interval (CI): 93.0-94.0] in second quarter of 2018 to 94.9% (95% CI: 94.4-95.4) in second quarter of 2019 after implementing EMMs. There was a statistically significant effect between quarterly EMM coverage and treatment success rate after adjusting for potential confounders (P = 0.0036), increasing 10% of EMM coverage rate will lead to 0.2% treatment success rate augment. Besides, an increase of 10% of elderly or bacteriologically confirmed TB will lead to a decrease of 0.4% and 0.9% of the treatment success rate.
conclusionsUnder programmatic settings, we found a statistically significant effect between increasing coverage of EMM and treatment success rate at the county level. More prospective studies are needed to confirm the effect of using EMM on TB treatment outcomes. We suggest performing operational research on EMMs that provides real-time data under programmatic conditions in the future.
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