title: Decision-tree model of treatment-seeking behaviors after detecting symptoms by Korean stroke patients.
abstract: OBJECTIVE
  This study was performed to develop and test a decision-tree model of treatment-seeking behaviors about when Korean patients visit a doctor after experiencing stroke symptoms.
  
  
  METHODS
  The study used methodological triangulation. The model was developed based on qualitative data collected from in-depth interviews with 18 stroke patients. The model was tested using quantitative data collected from interviews and a structured questionnaire involving 150 stroke patients. The predictability of the decision-tree model was quantified as the proportion of participants who followed the pathway predicted by the model.
  
  
  RESULTS
  Decision outcomes of the model were categorized into immediate and delayed treatment-seeking behavior. The model was influenced by lowered consciousness, social-group influences, perceived seriousness of symptoms, past history of hypertension or stroke, and barriers to hospital visits. The predictability of the model was found to be 90.7%.
  
  
  CONCLUSIONS
  The results from this study can help healthcare personnel understand the education needs of stroke patients regarding treatment-seeking behaviors, and hence aid in the development of educational strategies for stroke patients.
authors.affiliation: Department of Nursing, Daebul University, 72, Sanho-ri, Samho-up, Korea. ohs0@mail.daebul.ac.kr
authors.forename: Hyo-Sook
authors.initials: HS
authors.lastname: Oh
authors.forename: Hyeoun-Ae
authors.initials: HA
authors.lastname: Park
mesh_terms: D003657:Decision Making; D003663:Decision Trees; D005260:Female; D006801:Humans; D007723:Korea; D016015:Logistic Models; D008297:Male; D008875:Middle Aged; D008962:Models, Theoretical; D010342:Patient Acceptance of Health Care; D015203:Reproducibility of Results; D020521:Stroke / Q000523:psychology / Q000628:therapy; D013997:Time Factors