title: [Analysis on status and determinants of self-treatment of rural floating population in Beijing].
abstract: OBJECTIVE
  To understand the status and identify the determinants of self-treatment of rural floating population in Beijing.
  
  
  METHODS
  The data were derived from the Fourth National Health Service Investigation of China, part of which was about rural floating population in Beijing. According to Andersen health services utilization model, Binary Logistic Regression model was used to analyze the influencing factors.
  
  
  RESULTS
  In the study, 51.7% of the research objects were inclined to self-treatment when they ever felt uncomfortable or sick in Beijing. The Binary Logistic Regression model suggested that, some factors from predisposing, enabling and need, were statistically significant determinants of utilization of self-treatment.
  
  
  CONCLUSIONS
  There exists a certain percentage of self-treatment behavior for rural floating population in Beijing, and we should take some measures to promote the efficacy and safety of self-treatment.
authors.affiliation: Department of Health Policy and Management, Peking University School of Public Health, Beijing 100191, China.
authors.forename: Lei
authors.initials: L
authors.lastname: Zhang
authors.affiliation: Department of Health Policy and Management, Peking University School of Public Health, Beijing 100191, China.
authors.forename: Ming
authors.initials: M
authors.lastname: Wu
mesh_terms: D002681:China; D002947:Cities; D006301:Health Services Needs and Demand; D006801:Humans; D016015:Logistic Models; D012424:Rural Population; D012648:Self Care; D014171:Transients and Migrants / Q000706:statistics & numerical data*