Background: The aim of this study was to assess the prevalence and associated factors of Traditional, Complementary and Alternative Medicine's (TCAM) use of chronic disease patients in a community setting in Myanmar. Materials and Methods: A cross-sectional community survey was conducted in the Kyauk Tan Township with the International Complementary and Alternative Medicine Questionnaire (I-CAM-Q). Results: Of the 1600 participants in the survey, the overall prevalence of any TCAM use (providers, products or self-care) was 95.1% (TCAM provider= 14.6%, TCAM products=65.0%, and self-help TCAM=86.2%) in the past 12 months. For all different types of TCAM providers, TCAM products and self-help TCAM more than 90% of participants perceived the TCAM as very or somewhat helpful. In multivariate logistic regression analysis, older age, no formal education, rural residence and having two or more chronic conditions were associated with any TCAM use. Conclusions: TCAM use, especially TCAM products and self-help TCAM, seem to be common in Myanmar. The aim of this study was to conduct a cross-sectional survey on the prevalence and associated factors of TCAM use of chronic disease patients in a community setting in Myanmar.
Materials and Methods
Study SettingThe study was conducted in Kyauktan Township, Myanmar. The total population of Kyauktan Township was 167921 (28419 in urban and 139502 in rural areas); urban composed of 9 wards/blocks and rural of 90 villages (Myanmar Central Statistical Organization, 2014). For the urban population one maternal and child health (MCH) centre is responsible for the MCH care of the urban population, and 9 health centres (2 station health units and 7 rural health centres) were responsible for providing health care to the rural population (Personal communication Dr Win Myint Oo, 10 June 2015).
Sample and ProcedureA multi-staged random sampling procedure was applied. In the urban study area on the first stage, 6 wards out of 9 were selected randomly, and at the second stage 140 persons with a chronic disease were selected randomly from each ward. Midwives identified a list of persons with chronic diseases first and then selected study subjects. In the rural study area on the first stage, 4 health centres out of 9 were selected randomly, at the second stage 5 villages were randomly selected from each health centre selected on the previous stage, and at the third stage, 40 persons with chronic diseases were selected randomly from each village. Basic health care staff identified a list of persons with chronic diseases first and then selected the study subjects. In both urban and rural areas, only one person (18 years and above) from each household was randomly selected. Participants were informed about the Peltzer et al., Afr J Tradit Complement Altern Med. (2016) 13(3):150-155