ArticlePloS one2021
Factors influencing TB treatment interruption and treatment outcomes among patients in Kiambu County, 2016-2019.
Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.
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14 citing papers in PubMed, 1 synthesis or guideline pooled 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
- Article
- Predictors of Treatment Outcomes Among HIV-Positive Patients with Drug-Resistant Tuberculosis in Rural Eastern Cape, South Africa: A Retrospective Cohort Study.International journal of environmental research and public health · 2026Article
- Factors associated with successful treatment outcomes among tuberculosis patients in a district municipality of Vhembe, Limpopo.South African family practice : official journal of the South African Academy of Family Practice/Primary Care · 2025Article
- Development of a clinical prediction model for poor treatment outcomes in the intensive phase in patients with initial treatment of pulmonary tuberculosis.Frontiers in medicine · 2025Article
- Gendered gaps to tuberculosis prevention and care in Kenya: a political economy analysis study.BMJ open · 2024Article
- Predictors of mortality and survival probability distribution among patients on tuberculosis treatment in Vihiga County, Kenya.African health sciences · 2023Article
- Application of ARIMA, and hybrid ARIMA Models in predicting and forecasting tuberculosis incidences among children in Homa Bay and Turkana Counties, Kenya.PLOS digital health · 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
- FACTORS CONTRIBUTING TO PULMONARY TB TREATMENT LOST TO FOLLOW-UP IN DEVELOPING COUNTRIES: AN OVERVIEW.African journal of infectious diseases · 2023Article
- Geographic mobility and treatment outcomes among people in care for tuberculosis in the Lake Victoria region of East Africa: A multi-site prospective cohort study.PLOS global public health · 2023Article
- A machine learning approach to explore individual risk factors for tuberculosis treatment non-adherence in Mukono district.PLOS global public health · 2023Article
- Tuberculosis poor treatment outcomes and its determinants in Kilifi County, Kenya: a retrospective cohort study from 2012 to 2019.Archives of public health = Archives belges de sante publique · 2022Article
- Determinants of tuberculosis treatment interruption among patients in Vihiga County, Kenya.PloS one · 2021Article
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6 authors.
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No grant is acknowledged in the PubMed record.
Abstract
Tuberculosis (TB) is the leading cause of mortality as a single infectious agent globally with increasing numbers of case notification in developing countries. This study seeks to investigate the clinical and socio-demographic factors of time to TB treatment interruption among Tuberculosis patients in Kiambu County, 2016-2019. We retrospectively analyzed data for all treatment outcomes patients obtained from TB tracing form linked with the Tuberculosis Information Basic Unit (TIBU) of patients in Kiambu County health facilities using time to treatment interruption as the main outcome. Categorical variables were presented using frequency and percentages. Kaplan-Meir curve was used to analyze probabilities of time to treatment interruptions between intensive and continuation phases. Log-rank test statistics was used to compare the equality of the curves. Cox proportion model was used to determine determinants of treatment interruption. A total of 292 participants were included in this study. Males were 68%, with majority (35%) of the participants were aged 24-35 years; 5.8% were aged 0-14 years and 5.1% aged above 55 years. The overall treatment success rate was 66.8% (cured, 34.6%; completed 32.2%), 60.3% were on intensive phase of treatment. Lack of knowledge and relocation were the major reasons of treatment interruptions. Patients on intensive phase were 1.58 times likely to interrupt treatment compared to those on continuation phase (aHR: 1.581; 95%CI: 1.232-2.031). There is need to develop TB interventions that target men and middle aged population in order to reduce treatment interruption and increase the treatment success rates in the County and Country.
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