Publication year: 2011
Source: Social Science & Medicine, Available online 28 September 2011
Mariève Pouliot
Traditional medicine is believed to constitute a crucial healthcare option for poor or remote households in developing countries that have limited access to allopathic medicine and/or a strong cultural attachment to traditional medicine. However, little research has been performed on medicinal plant reliance in developing countries, and the determinants of medicinal plant consumption at the household level in these countries have not been empirically studied. Quantifying the use of traditional medicine at the household level is, therefore, essential to the development of sustainable healthcare policies in the developing world. This paper quantifies household-level use of traditional medicine and identifies determinants of the choice of traditional treatment in the south central region of Burkina Faso. Structured household interviews (n=205) were conducted in nine villages of rural Burkina Faso from November 2007 to November 2008 and in November 2009 to collect data on household characteristics (e.g., income, education, demographics), illness frequencies, illness types, and treatment strategies employed. Comprehensive analysis of treatment choice was performed through bivariate analyses. Results indicate that traditional medicine was primarily relied on by middle-aged individuals from relatively uneducated households who were living in villages with limited allopathic medicine service provision. Moreover, a differential approach to medicinal plant consumption was used to distinguish between patients using traditional medicine as a self-care treatment and those visiting a traditional healer. Although poorer households were shown to use traditional medicine as a self-treatment, traditional healers’ services were relied on by wealthier households.
Highlights
► Quantifies the traditional medicine reliance on in a poor rural population. ► Identifies the determinants associated with use of traditional medicine. ► Uses a bivariate probit model to differentiate between home treatments and medicine prescribed by a healer. ► Shows the importance of environmental resources for the health service provision of both poor and richer households.