Introduction: India has a significant TB burden, and ongoing attempts are being made to eradicate the disease. Globally, the number of TB deaths is declining, but not quickly enough to meet the End TB Goals. The National Strategic Plan (NSP) 2017-2025 in India set in motion an ambitious effort to expand the scope and efficacy of the National Tuberculosis Elimination Program (NTEP).
Methods: A descriptive retrospective study based on secondary data was conducted on information obtained from the electronic TB notification register for 2019, abstracted from Ni-kshay. Further, descriptive analysis was undertaken to identify the factors associated with deaths and successful treatment outcomes. The binomial logistic regression model estimates the crude relative risk and a 95% confidence interval to describe the association between predictor variables and TB treatment outcomes.
Results: After applying the eligibility criteria for the study population, a total of 1,44,643 (88%) TB patients were included in the study. 1,35,934 (94%) TB patients had completed the treatment and survived, while 8709 (6%) TB patients died. A significant association of treatment outcomes was observed in age, gender, key population, site of diseases, type of case, type of health facilities, HIV and Diabetes. When a logistic regression was applied, the model showed the association of the independent variables with the risk of death in TB patients.
Conclusion: The epidemiological factors associated with treatment outcomes among TB patients should be audited systematically. A structure of TB death surveillance and response system should be established with a mortality audit, including a community-based death review (CBDR) and a facility-based medical audit (FBMA) in case the patient is hospitalized or discharged from a hospital.
Keywords: Determinants of death; Mortality; Treatment outcome; Tuberculosis.
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