ArticlePloS one2016
Using Survival Analysis to Identify Risk Factors for Treatment Interruption among New and Retreatment Tuberculosis Patients in Kenya.
Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 2 of them syntheses that pooled it.
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Who cites it
22 citing papers in PubMed, 2 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
- Quantifying non-adherence to anti-tuberculosis treatment due to early discontinuation: a systematic literature review of timings to loss to follow-up.BMJ open respiratory research · 2024Pooled it
- Baseline determinants of adherence for drug-sensitive TB treatment in a South African prospective cohort: a focus on HIV infection and anti-retroviral therapy, clinical care access, and TB stigma.BMC infectious diseases · 2026Trial
- Tuberculosis treatment outcomes and associated factors among patients on anti- TB treatment in Nekemte public health facilities, oromia regional State, Western Ethiopia.BMC infectious diseases · 2025Article
- Effects of diabetes mellitus on retreatment of Tuberculosis: A multi-centered case-control study from Bangladesh.Journal of clinical tuberculosis and other mycobacterial diseases · 2024Article
- The capacity and training needs of primary health care workers in Nyeri and Nakuru counties of Kenya: a cross-sectional study.Frontiers in medicine · 2024Article
- Factors associated with unsuccessful tuberculosis treatment among homeless persons in Brazil: A retrospective cohort study from 2015 to 2020.PLoS neglected tropical diseases · 2023Article
- Factors affecting treatment adherence among leprosy patients: Perceptions of healthcare providers.Heliyon · 2023Article
- Competing risk models to evaluate the factors for time to loss to follow-up among tuberculosis patients at Ambo General Hospital.Archives of public health = Archives belges de sante publique · 2023Article
- Burden of HIV and treatment outcomes among TB patients in rural Kenya: a 9-year longitudinal study.BMC infectious diseases · 2023Article
- Predictors of mortality and survival probability distribution among patients on tuberculosis treatment in Vihiga County, Kenya.African health sciences · 2023Article
- Incidence and predictors of treatment interruption among patients on anti-tuberculosis treatment in Nekemte public healthcare facilities, Oromia, Western Ethiopia.Frontiers in epidemiology · 2023Article
- Risk factors for disruptions in tuberculosis care in Uganda during the COVID-19 pandemic.PLOS global public health · 2023Article
- Characteristics and determinants of loss to follow-up among tuberculosis (TB) patients who smoke in an industrial state of Malaysia: a registry-based study of the years 2013-2017.BMC public health · 2022Article
- Risk factors for early TB treatment interruption among newly diagnosed patients in Malaysia.Scientific reports · 2022Article
- Article
- Comparison of first-line tuberculosis treatment outcomes between previously treated and new patients: a retrospective study in Machakos subcounty, Kenya.International health · 2021Article
- Risk Factor for Retreatment Episode on Admission Among TB Patients With Schizophrenia.Frontiers in psychiatry · 2021Article
- Determinants of tuberculosis treatment interruption among patients in Vihiga County, Kenya.PloS one · 2021Article
- Longitudinal-Survival Models for Case-Based Tuberculosis Progression.Frontiers in public health · 2021Article
Corrections and comments
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Authors and funding
9 authors.
Funding
Abstract
Despite high tuberculosis (TB) treatment success rate, treatment adherence is one of the major obstacles to tuberculosis control in Kenya. Our objective was to identify patient-related factors that were associated with time to TB treatment interruption and the geographic distribution of the risk of treatment interruption by county. Data of new and retreatment patients registered in TIBU, a Kenyan national case-based electronic data recording system, between 2013 and 2014 was obtained. Kaplan-Meier curves and log rank tests were used to assess the adherence patterns. Mixed-effects Cox proportional hazards modeling was used for multivariate analysis. Records from 90,170 patients were included in the study. The cumulative incidence of treatment interruption was 4.5% for new patients, and 8.5% for retreatment patients. The risk of treatment interruption was highest during the intensive phase of treatment. Having previously been lost to follow-up was the greatest independent risk factor for treatment interruption (HR: 4.79 [3.99, 5.75]), followed by being HIV-positive not on ART (HR: 1.96 [1.70, 2.26]) and TB relapse (HR: 1.70 [1.44, 2.00]). Male and underweight patients had high risks of treatment interruption (HR: 1.46 [1.35, 1.58]; 1.11 [1.03, 1.20], respectively). High rates of treatment interruption were observed in counties in the central part of Kenya while counties in the northeast had the lowest risk of treatment interruption. A better understanding of treatment interruption risk factors is necessary to improve adherence to treatment. Interventions should focus on patients during the intensive phase, patients who have previously been lost to follow-up, and promotion of integrated TB and HIV services among public and private facilities.
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