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Predictors of mortality and survival probability distribution among patients on tuberculosis treatment in Vihiga County, Kenya
- Source :
- African Health Sciences; Vol. 23 No. 1 (2023); 218-30
- Publication Year :
- 2023
- Publisher :
- Makerere University Medical School (Uganda), 2023.
-
Abstract
- Background: Tuberculosis (TB) related mortality remains a serious impediment in ending TB epidemic. Objective: To estimate survival probability and identify predictors, causes and conditions contributing to mortality among TB patients in Vihiga County. Methods: A cohort of 291 patients from 20 purposively selected health facilities were prospectively considered. Data was obtained by validated questionnaires through face-to-face interviews. Survival probabilities were estimated using Kaplan-Meier method while Cox proportional hazard model identified predictors of TB mortality through calculation of hazard ratios at 95% confidence intervals. Mortality audit data was qualitatively categorized to elicit causes and conditions contributing to mortality. Results: 209 (72%) were male, median age was 40 (IQR=32-53) years while TB/HIV coinfection rate was 35%. Overall, 45 (15%) patients died, majority (78% (log rank
- Subjects :
- TB mortality
survival distributions
treatment outcomes
Vihiga
General Medicine
Subjects
Details
- Language :
- English
- ISSN :
- 16806905 and 17290503
- Database :
- OpenAIRE
- Journal :
- African Health Sciences
- Accession number :
- edsair.doi.dedup.....487b72d118e42bd6e870e52599af6958