• Title of article

    Socio-demographic factors affecting knowledge level of Tuberculosis patients in Rajshahi City, Bangladesh

  • Author/Authors

    Mondal, M N I University of Rajshahi - Department of Population Science and Human Resource Development, Bangladesh , Nazrul, Hoque M. University of Houston - Hobby Center for Public Policy, USA , Chowdhury, M R K University of Rajshahi - Department of Population Science and Human Resource Development, Bangladesh , Howard, J University of Texas at San Antonio - Department of Demography, USA

  • From page
    855
  • To page
    865
  • Abstract
    Background: The Tuberculosis (TB) control program in Bangladesh is still unsatisfactory due to insufficient knowledge and stigma about TB. Patients with low knowledge may be at higher risk of experiencing delays in diagnosis and appropriate treatment. Objectives: The aims of this study were to identify the knowledge levels of TB and investigate the factors associated with knowledge level among the TB patients in Bangladesh. Methods: A cross-sectional study was conducted at Rajshahi City, Bangladesh. A total of 384 TB patients were interviewed through a pretested, structured questionnaire using purposive sampling techniques. Logistic regression analysis was used to evaluate the effects of selected socio-demographic factors on TB knowledge level. Results: The results revealed that pulmonary TB patients had greater knowledge than that of extra-pulmonary patients, and that sex, age, educational status and TB type were significantly associated with knowledge level. Conclusions: In general, males and young adults, ages 21-35, had greater awareness about transmission and prevention of TB than females and adults over 35. Individuals with higher education and urban area patients were comparatively better informed about TB infection. Patients with greater knowledge about TB were also less likely to experience delays in seeking treatment.
  • Keywords
    Tuberculosis , National TB program , Rajshahi City , Knowledge index , Logistic regression model
  • Journal title
    African Health Sciences
  • Journal title
    African Health Sciences
  • Record number

    2634443