P Mishra1, E H Hansen, S Sabroe, K K Kafle. 1. Department of Social Pharmacy, Danish University of Pharmaceutical Sciences, Copenhagen, Denmark. mishramp2000@yahoo.com
Abstract
SETTING: A western hill district in Nepal, where tuberculosis (TB) treatment under DOTS was offered by the regional tuberculosis centre, two primary health centres, eight health posts, three sub-health posts and one ward of sub-metropolitan Pokhara. OBJECTIVE: To analyse the contribution of socioeconomic status to non-adherence to DOTS. DESIGN: Case-control study. Data were collected by questionnaire-based face-to-face interviews. The study sample consisted of 50 cases and 100 controls. The participation rate was 80% for cases (non-adherents) and 95% for controls. RESULTS: Logistic regression analysis showed that the risk of non-adherence to TB treatment was significantly associated with unemployment (odds ratio [OR] 9.2), low status occupation (OR 4.4), low annual income (OR 5.4), and cost of travel to the TB treatment facility (OR 3.0). Factors significant in the bivariate analyses--living conditions, literacy and difficulty in financing treatment--were not found to be significantly associated with non-adherence when adjusted for other risk factors in the multivariate regression model. CONCLUSION: Low socio-economic status and particularly lack of money are important risk factors for non-adherence to TB treatment in a poor country such as Nepal.
SETTING: A western hill district in Nepal, where tuberculosis (TB) treatment under DOTS was offered by the regional tuberculosis centre, two primary health centres, eight health posts, three sub-health posts and one ward of sub-metropolitan Pokhara. OBJECTIVE: To analyse the contribution of socioeconomic status to non-adherence to DOTS. DESIGN: Case-control study. Data were collected by questionnaire-based face-to-face interviews. The study sample consisted of 50 cases and 100 controls. The participation rate was 80% for cases (non-adherents) and 95% for controls. RESULTS: Logistic regression analysis showed that the risk of non-adherence to TB treatment was significantly associated with unemployment (odds ratio [OR] 9.2), low status occupation (OR 4.4), low annual income (OR 5.4), and cost of travel to the TB treatment facility (OR 3.0). Factors significant in the bivariate analyses--living conditions, literacy and difficulty in financing treatment--were not found to be significantly associated with non-adherence when adjusted for other risk factors in the multivariate regression model. CONCLUSION: Low socio-economic status and particularly lack of money are important risk factors for non-adherence to TB treatment in a poor country such as Nepal.
Authors: A M Kipp; P Pungrassami; P W Stewart; V Chongsuvivatwong; R P Strauss; A Van Rie Journal: Int J Tuberc Lung Dis Date: 2011-11 Impact factor: 2.373