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지역단위별(地域單位別) 의료기관이용(醫療機關利用)에 대한 회귀분석(回歸分析)
서문희 ( Mun Hee Suh ) 한국보건사회연구원 1982 保健社會硏究 Vol.2 No.1
This study was conducted for the purpose of finding out the varience explaining the medical utilization behavior by community and inhabitants variables. What kinds of characteristics can explain the utilization rate of medical-facilities at macro level of the community and, if any, which is the variance level are the specific questions to be solved through step-wise multiple regression analysis. Dependent variables are such aggregate variables as medical facilities user rate, hospital user rate, drug store user rate, Chinese medicine user rate, hospitalization rate and unmet need rate in 42 communities. Independent variables involved such ag gregate variables as literacy rate, color TV ownership rate, medical insurance rate, etc., as well as medical facilities status and demographic characteristics. The data was collected partly from household interview and partly from Eup Myun Office. Followings are main results. 1)The most important variable which explain the total utilization rate of medical facilities including hospital, drug store, Chinese medical facilities health centers and midwives house was literacy rate with the R2 value of .15. The medical insurance rate followed with the value of .037 as the Table 2 suggested. 2)Variable which influence the hospital utilization behavior mostly was medical in surance as expected. Thirty five percent can be explained by this one variable, which was followed by 3.5 percent of color TV ownership rate and 2 percent of doctor ratio. About 46 percent can be explained by 8 independent variables as Table 3 presented. Medical insurance showed multicollinearity with socio economic variables as Table 1 suggested. Generally those whose socio-economic status is high tend to have the benefit of medical insurance. Because the medical insurance system in Korea have short history and are working-place orienledly organized those who really need medical protection are not involved yet. Tab le 4 approve the hypothesis statistically. 3)The literacy rate have the highest explanation ability on the drug store use rate at community. The rate of medical insurance add 5 percent of variance as a minous factor. It suggests that the needy people are not access even to the drug store. 4)The use of chines medical facilities can be explained 15 percent by 9 independent variables among which medical insurance rate showed the highest R2 value of .06 with the minus simple correlation. Those who not take the benefits of medical insurance tend to use Chinese medical facilities more than the receipts. 5)Hospitalization can be explained 19 percent by 8 variables as Table 7 suggested. Literacy rate have .08 R2 value and doctor ratio add .025 to it.
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근로녀성(勤勞女性)의 성지식(性知識) 격차(隔差)에 영향을 미치는 요인(要因)에 관한 연구(硏究)
서문희 ( Mun Hee Suh ),홍문식 ( Moon Sik Hong ) 한국보건사회연구원 1985 保健社會硏究 Vol.5 No.2
The purpose of this study was to find out the influence level of structural and functional characteristics on the knowledge gap. In explaining the knowledge gap, structural variables such as age, education, economic status and functional variable such as salience was regarded as in dependent variables, while seeked exposure to related information was regarded as mediating variable. In this study the topics were family planning and sex informations among the unmarried females workers. The data collected for the study on knowledge and attitude on population and sex among unmarried female workers by Korea Institute for Population and Health in 1983 was partly used. At one way ANOVA analysis, age, education, salience and seeked exposure level showed significant effects on the difference of group means on family planning and sex knowledge level. Only economic variable showed no relations at all. At multiple regression analysis using path model, education and salience was found as explaining seeked exposure by 32 percent and age added little. In also the multiple regression analysis, the explaining power of knowledge was figured out. In explaining reproductive physiological knowledge, exposure had 29 percent ex plaining power which is followed by educationg with four percent. Beside these, salience and age showed no adding power. In the contraceptive use knowledge the seeked exposure had 26 per cent and followed by salience with five percent. We can assumed that knowledge gap on physiology formed structually while knowledge gap on contraceptive use came from functional reason, relatively. In summary, education and salience determined the seeked exposure level which again had effects on knowledge level. Therefore the family planning and sex education through school or institutional education must to be strengthend for the principle knowledges. Before the unmarried female workers become to involve in opposite sex problems or date, enough informations to have healthy social life must to be educated.
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