ArticleTropical medicine and infectious disease2022
Contributory Factors to Successful Tuberculosis Treatment in Southwest Nigeria: A Cross-Sectional Study.
Article in Tropical medicine and infectious disease, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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2 citing papers in PubMed, 5 citations in OpenAlex.
- Factors Influencing Tuberculosis Treatment Outcomes in Lalitpur District, Nepal: A Retrospective Cohort Study.Journal of epidemiology and global health · 2026Article
- Factors affecting compliance and non-compliance among patients with tuberculosis in Egypt: a descriptive correlational study.Journal of Korean biological nursing science · 2026Article
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Authors and funding
8 authors at 1 institution in 1 country.
Funding
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Abstract
Tuberculosis (TB) is one of the oldest human diseases, and preventing treatment failure is critical. This is because TB cases pose a risk to the immediate and remote communities due to the potential for spread, particularly for multidrug-resistant (MDR) strains that have been associated with higher morbidity and mortality rates. Hence, this study looked at the factors that influence TB treatment outcomes in Southwest Nigeria. We conducted a cross-sectional study with 712 TB patients from 25 directly observed treatment short course (DOTS) centers, out of which 566 (79.49%) were new treatment cases, and 102 (14.33%) were retreatment cases. The outcome variable was computed into successful treatment where 'Yes' was assigned to TB treatment completed and cured, and 'No' was assigned to all the remaining outcomes following the standard TB definition. Independent variables included in the analysis were the patient's socio-demographic characteristics (such as age, sex, distance from the facility, marital status, family type, education, and computed socioeconomic status from modified DHS household assets), clinical and facility parameters (such as the HIV status, facility of access to healthcare, healthcare workers attitudes, services offered at the facility, appearance of the facility, number of people seeking care and waiting time at the facility). Bivariate analysis showed that HIV status (OR: 3.53, 95% CI: 1.83-6.82;
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