Health Belief Model and Sick Role Behavior of Koream Chronic ill Paients

건강신념모델과 한국인 만성질환자의 환자역할 행위

This article reviewed & analyzed 33 studies of the Health Belief Model applied to korean chronic ill patients which were published from 1975 to 1990. The findings of analysis are as follows. The subjects of researchs are patients with various chronic illness including Pulmonary Tb., DM., Hemodialysis & Kindney Transplantation, Hypertension, etc. The type of research is retrospective survey in all studies. The measurement of health' belief in all studies & sick role behavior in most studies have relied on self report. The analysis of the relationship between health belief and sick role behavior was done using correlation coefficient in most studies. To analyze empirical support for the relatiohship between health belief and sick role behavior, Significance ratio was computed. This ratio is value wherein the number of statistically significant findings with relationship in the expected direction for an HBM dimension are divided by total number of studies which reported significance levels for that dimension. Examination of this ratio across the 33 studies reveals susceptibility(30.3%), severity(34.4%), benifit(65.6%), barrier(50%). The following suggestions are based on the above findings and literature review. 1. It is necessary to develop the reliable, valid and standadized instrument for measurement of health beliefs. 2. In the further 'measurement of perceived susceptibility of the chronic ill patients, It is considering that the perceived susceptibility and perceived severity are measured together or the measurement of perceived, susceptibility is eliminated. 3. Relationship between perceived severity and sick role behavior is suggested to be analized using ANOV A, $x^2$ square instead of correlation coefficient. 4. Sick role behaviors should be measured by both self report and objective measurement. 5. Prospective, longitudinal survey should be needed. 6. Other factors influencing sick role behaviors of chronic ill patients should be investigated further.