초록

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Abstract ▼ AI-Helper

Background : Acute coronary syndrome is major cause of death in Korea. The purpose of this study was to develop and test a decision tree model of the treatment-seeking delay among patients with acute coronary syndrome. Methods : This study used methodological triangulation, applying the cognitive et...

Background : Acute coronary syndrome is major cause of death in Korea. The purpose of this study was to develop and test a decision tree model of the treatment-seeking delay among patients with acute coronary syndrome. Methods : This study used methodological triangulation, applying the cognitive ethnographic decision tree modeling. The model was developed based on qualitative data collected from in-depth interviews with 29 patients. The model was tested using qualitative and quantitative data collected from interviews and a structured questionnaire involving 311 patients. The predictability of the decision tree model was quantified as the proportion of participants who followed the pathway predicted by the model Results : The model for decision making about when to visit a doctor after detecting symptoms was developed. Decision outcomes for the model were categorized into immediate visit and delayed visit. In the patients with acute coronary syndrome, the model was influenced by lowered consciousness, perceived seriousness of symptoms, presence of bystander, social-group influences, admission route and barriers to visiting a doctor. The predictability of the model was 88%. Conclusions : This study results will provide basic data of educational strategies for reducing treatment-seeking delay of patients with acute coronary syndrome.

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