ArticleOpen forum infectious diseases2021
Measuring Tuberculosis Medication Adherence: A Comparison of Multiple Approaches in Relation to Urine Isoniazid Metabolite Testing Within a Cohort Study in India.
Article in Open forum infectious diseases, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 3 of them syntheses that pooled it.
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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
13 citing papers in PubMed, 3 syntheses or guidelines pooled it, 21 citations in OpenAlex.
- 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
- The performance of digital technologies for measuring tuberculosis medication adherence: a systematic review.BMJ global health · 2024Pooled it
- Barriers to engagement in the care cascade for tuberculosis disease in India: A systematic review of quantitative studies.PLoS medicine · 2024Pooled it
- Treatment Adherence With an Oral 9-Month Regimen for Rifampicin-Resistant Tuberculosis in South Africa.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2026Observational
- Evaluating a biochemical TB medication adherence test: Insights from image-based reporting through a patient companion app.PLOS global public health · 2026Article
- Tuberculosis in Saharia Tribe (a Particularly Vulnerable Tribal Group) of India: a Systematic Review and Meta-analysis.Journal of racial and ethnic health disparities · 2025Article
- Contextual factors influencing implementation of tuberculosis digital adherence technologies: a scoping review guided by the RE-AIM framework.BMJ global health · 2025Article
- Predicting treatment adherence in patients with drug-resistant tuberculosis: insights from socioeconomic, demographic, and clinical factors of patients in the rural Eastern Cape.Frontiers in tuberculosis · 2025Article
- Influence of the new dispersible fixed-dose combination anti-Tuberculosis drug on treatment adherence among children with Tuberculosis in Osun State, Nigeria.International health · 2024Article
- Medication nonadherence and associated factors in patients with tuberculosis in Wau, South Sudan: a cross- sectional study using the world health organization multidimensional adherence model.Archives of public health = Archives belges de sante publique · 2024Article
- The prevalence, clinical reasoning and impact of non-standard anti-tuberculosis regimens at the initial prescription.Scientific reports · 2024Article
- Assessment of TB treatment adherence using computer-assisted self-interviewing.The international journal of tuberculosis and lung disease : the official journal of the International Union against Tuberculosis and Lung Disease · 2023Article
- Impact of the 99DOTS digital adherence technology on tuberculosis treatment outcomes in North India: a pre-post study.BMC infectious diseases · 2023Article
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Authors and funding
9 authors at 5 institutions in 2 countries.
Funding
Abstract
Background: Nonadherence to tuberculosis medications is associated with poor outcomes. However, measuring adherence in practice is challenging. In this study, we evaluated the accuracy of multiple tuberculosis adherence measures. Methods: We enrolled adult Indians with drug-susceptible tuberculosis who were monitored using 99DOTS, a cellphone-based technology. During an unannounced home visit with each participant, we assessed adherence using a pill estimate, 4-day dose recall, a last missed dose question, and urine isoniazid metabolite testing. We estimated the area under the receiver operating characteristic curve (AUC) for each alternate measure in comparison to urine testing. 99DOTS data were analyzed using patient-reported doses alone and patient- and provider-reported doses, the latter reflecting how 99DOTS is implemented in practice. We assessed each measure's operating characteristics, with particular interest in specificity-that is, the percentage of participants detected as being nonadherent by each alternate measure, among those who were nonadherent by urine testing. Results: Compared with urine testing, alternate measures had the following characteristics: 99DOTS patient-reported doses alone (area under the curve [AUC], 0.65; specificity, 70%; 95% CI, 58%-81%), 99DOTS patient- and provider-reported doses (AUC, 0.61; specificity, 33%; 95% CI, 22%-45%), pill estimate (AUC, 0.55; specificity, 21%; 95% CI, 12%-32%), 4-day recall (AUC, 0.60; specificity, 23%; 95% CI, 14%-34%), and last missed dose question (AUC, 0.65; specificity, 52%; 95% CI, 40%-63%). Conclusions: Alternate measures missed detecting at least 30% of people who were nonadherent by urine testing. The last missed dose question performed similarly to 99DOTS using patient-reported doses alone. Tuberculosis programs should evaluate the feasibility of integrating more accurate, objective measures, such as urine testing, into routine care.
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