title: Tracking and decomposing health and disease inequality in Thailand.
abstract: OBJECTIVE
  In middle-income countries, interest in the study of inequalities in health has focused on aggregate types of health outcomes, like rates of mortality. This work moves beyond such measures to focus on disease-specific health outcomes with the use of national health survey data.
  
  
  METHODS
  Cross-sectional data from the national Health and Welfare Survey 2003, covering 52,030 adult aged 15 or older, were analyzed. The health outcomes were the 20 most commonly reported diseases. The age-sex adjusted concentration index (C *) of ill health was used as a measure of socioeconomic health inequality (values ranging from -1 to +1). A negative (or positive) concentration index shows that a disease was more concentrated among the less well off (or better off). Crude concentration indices (C) for four of the most common diseases were also decomposed to quantify determinants of inequalities.
  
  
  RESULTS
  Several diseases, such as malaria (C * = -0.462), goiter (C * = -0.352), kidney stone (C * = -0.261), and tuberculosis (C * = -0.233), were strongly concentrated among those with lower incomes, whereas allergic conditions (C * = 0.174) and migraine (C * = 0.085) were disproportionately reported by the better off. Inequalities were found to be associated with older age, low education, and residence in the rural Northeast and rural North of Thailand.
  
  
  CONCLUSIONS
  Pro-equity health policy in Thailand and other middle-income countries with health surveys can now be informed by national data combining epidemiological, socioeconomic and health statistics in ways not previously possible.
authors: Australian National University, ANU College of Medicine, Biology and Environment, National Centre for Epidemiology and Population Health, Canberra, Australia. vasoontara.yieng@anu.edu.au
authors: Vasoontara
authors: V
authors: Yiengprugsawan
authors: Lynette L-Y
authors: LL
authors: Lim
authors: Gordon A
authors: GA
authors: Carmichael
authors: Sam-Ang
authors: SA
authors: Seubsman
authors: Adrian C
authors: AC
authors: Sleigh
mesh_terms: D000293:Adolescent; D000328:Adult; D000368:Aged; D001249:Asthma / Q000191:economics / Q000453:epidemiology; D003430:Cross-Sectional Studies; D054624:Health Status Disparities; D006306:Health Surveys; D006801:Humans; D006973:Hypertension / Q000191:economics / Q000453:epidemiology; D008875:Middle Aged; D015233:Models, Statistical; D009140:Musculoskeletal Diseases / Q000191:economics / Q000453:epidemiology; D010437:Peptic Ulcer / Q000191:economics / Q000453:epidemiology; D015995:Prevalence; D012923:Social Class; D013785:Thailand / Q000453:epidemiology; D055815:Young Adult