title: Coping with ill health in a rickshaw puller's household in Chittagong, Bangladesh.
abstract: The correlation between poverty and ill-health is undeniably strong. Ill-health reduces the earning capacity, and increases the risk of families with ill members to drift down the social and economic ladder. In this article, we present a simulation model of how a poor rickshaw puller in Bangladesh copes with illness, in particular tuberculosis (TB). We first analyze the various coping mechanisms that are set in motion when he starts to suffer from tuberculosis; the impact on household assets, income and food intake will be studied. The simulation model is then used to analyse the effects on his household of a specific health intervention, namely the Directly Observer Treatment Short Course (DOTS) treatment. It shows that DOTS offers positive improvements of the overall well-being of the household by restoring the working capacity of the rickshaw puller in one treatment course and minimizing lost income. Assets and food consumption would be preserved significantly more in the presence of DOTS, rendering the household both financially and physically less vulnerable. The probability of death of the sick rickshaw puller is also significantly reduced, improving household's welfare over the long run.
authors.affiliation: Department of Health in Sustainable Development, World Health Organization, Geneva, Switzerland.
authors.forename: G
authors.initials: G
authors.lastname: Carrin
authors.forename: E
authors.initials: E
authors.lastname: Gray
authors.forename: J
authors.initials: J
authors.lastname: Almeida
mesh_terms: D000223:Adaptation, Psychological; D000293:Adolescent; D000328:Adult; D000995:Antitubercular Agents / Q000191:economics* / Q000627:therapeutic use*; D001459:Bangladesh; D002648:Child; D002675:Child, Preschool; D005190:Family / Q000523:psychology*; D005191:Family Characteristics; D005192:Family Health; D005260:Female; D005523:Food Supply / Q000191:economics; D017048:Health Care Costs / Q000706:statistics & numerical data; D006801:Humans; D007182:Income; D008297:Male; D008875:Middle Aged; D017059:Models, Econometric; D008960:Models, Psychological; D009790:Occupations / Q000191:economics*; D011203:Poverty / Q000191:economics* / Q000523:psychology*; D014186:Transportation; D014376:Tuberculosis / Q000188:drug therapy / Q000191:economics / Q000523:psychology
chemical_list: D000995:Antitubercular Agents