Urban-rural and sex differentials in tuberculosis mortality in Bangladesh: results from a population-based survey

Trop Med Int Health. 2019 Jan;24(1):109-115. doi: 10.1111/tmi.13171. Epub 2018 Nov 22.

Abstract

Objective: To assess tuberculosis mortality in Bangladesh through a population-based survey using a Verbal Autopsy tool.

Methods: Nationwide mortality survey employing the WHO-recommended Verbal Autopsy (VA) tool, and using InsilicoVA, a data-driven method, to assign the cause of death. Using a three-stage cluster sampling method, 3997 VA interviews were conducted in both urban and rural areas of Bangladesh. Cause-specific mortality fractions (CSMF) were estimated using Bayesian probabilistic models.

Results: 6.8% of total deaths in the population were due to TB [95% CI: (5.1, 8.9)], comprising 12.0% [95% CI: (11.1, 12.8)] and 6.42% [95% CI: (5.4, 7.3)] of total male and female deaths, respectively. This proportion was highest among adults age 15-49 years [12.2%, 95% CI: (9.4, 14.6)]. The urban population is more likely to die from TB, and urban males have highest CSMF [13.6%, 95% CI: (9.1, 16.9)].

Conclusion: Our survey results show that TB is the fifth major cause of death in the general population and that sex and place of residence (urban/rural) have a significant effect on TB mortality in Bangladesh. The underlying causes of higher rates of TB-related deaths in urban areas and particularly among urban males, who have better knowledge and higher enrollment in the DOTS Program, need to be explored.

Keywords: Bangladesh; autopsie verbale; mortality; mortalité; tuberculose; tuberculosis; verbal autopsy.

Publication types

  • Comparative Study
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adolescent
  • Adult
  • Bangladesh / epidemiology
  • Cause of Death / trends
  • Female
  • Humans
  • Male
  • Middle Aged
  • Population Surveillance
  • Rural Population / statistics & numerical data*
  • Tuberculosis / mortality*
  • Tuberculosis, Pulmonary / mortality
  • Urban Population / statistics & numerical data*
  • Young Adult