Decision-tree Model of Treatment-seeking Behaviors after Detecting Symptoms by Korean Stroke Patients.
10.4040/jkan.2006.36.4.662
- Author:
Hyo Sook OH
1
;
Hyeoun Ae PARK
Author Information
1. Department of Nursing, Daebul University, 72, Sanho-ri, Samho-up, Youngam-gun, Jeonnam, Korea. ohs0@mail.daebul.ac.kr
- Publication Type:Original Article ; Evaluation Studies ; Research Support, Non-U.S. Gov't
- Keywords:
Decision making;
Stroke;
Health care-seeking behavior
- MeSH:
*Decision Making;
*Decision Trees;
Female;
Humans;
Korea;
Logistic Models;
Male;
Middle Aged;
*Models, Theoretical;
*Patient Acceptance of Health Care;
Reproducibility of Results;
*Stroke/psychology/therapy;
Time Factors
- From:
Journal of Korean Academy of Nursing
2006;36(4):662-670
- CountryRepublic of Korea
- Language:English
-
Abstract:
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.
