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Original Article
Decision-tree Model of Treatment-seeking Behaviors after Detecting Symptoms by Korean Stroke Patients
Hyo Sook Oh, Hyeoun Ae Park
Journal of Korean Academy of Nursing 2006;36(4):662-670.
DOI: https://doi.org/10.4040/jkan.2006.36.4.662
Published online: March 28, 2017

1Assistant Professor, Department of Nursing, Daebul University, Korea.

2Professor, College of Nursing, Seoul National University, Korea.

ohs0@mail.daebul.ac.kr

Copyright © 2006 Korean Society of Nursing Science

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  • Purpose
    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.

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        Decision-tree Model of Treatment-seeking Behaviors after Detecting Symptoms by Korean Stroke Patients
        Journal of Korean Academy of Nursing. 2006;36(4):662-670.   Published online March 28, 2017
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