Abstract:
uberculosis (TB) is still a public health problem and amongst the top 10 leading
causes of death. The objective of this study is to analyze the survival time of TB
patients and identify the risk factors that influence their survival in Pawe Hospital
during the treatment period. The data for this study are obtained from TB patients
registered books from September 2009 to January 2010 under Directly Observed
Treatment, Short-course (DOTS) at the health centers in Pawe Hospital. The analytical methodologies used were the Kaplan–Meier to estimate the survival time and
Cox’s regression model to identify the covariates that have a statistically significant
effect on the survival longevity of TB patients. The estimation of the model parameters was done by partial maximum likelihood procedures. The multivariate analysis of the Cox regression model gives that age, category (patient category), initial
weight and HIV status have statistically significant effects on the survival longevity
of TB patients. On the other hand, sex, marital status, and history of previous
treatment have no impact on the survival experience of TB patients. The study
shows that 84.5% of the patients were still alive at the end of 8 months of anti-TB
treatment. Based on the result of the study, different factors are identified for the
death of TB. Patients recommended that TB co-infected people should have
