전·후기 베이비붐 세대의 의료서비스이용 연구 – 한국의료패널 자료를 이용하여 -
The Study of Health Care Service Utilization by The Former and The Latter Baby Boomers : - Using Korean Health Panel Data -
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초록
Objectives : This study aims to : (i) characterize and differentiate between two different periods of baby boomers, (ii) study the utilization of their health care services, and (iii) establish effective ways of providing better health service utilization and preventive policy strategies for upcoming and older generations. Methods : A multiple regression analysis using descriptive statistics, frequency analysis, and dummy variables was utilized to access the presence of correlations between socio-demographic factors and health care service utilization. Results : Medical insurance type, marital status, and chronic disease were factors that influenced health care service utilization. Furthermore, the factors that influenced individual medical expenses were cohabitation, inpatient days, and chronic disease. Conclusions : Primary findings and exploratory statistics revealed that there were strong correlations and interaction among some of the predictor variables. Because of the chronologically limited nature of the sample data set gathered in 2012, it would be helpful to continue to develop or research related constructs that may capture relationships more effectively among extended populations.
Abstract
Objectives : This study aims to : (i) characterize and differentiate between two different periods of baby boomers, (ii) study the utilization of their health care services, and (iii) establish effective ways of providing better health service utilization and preventive policy strategies for upcoming and older generations. Methods : A multiple regression analysis using descriptive statistics, frequency analysis, and dummy variables was utilized to access the presence of correlations between socio-demographic factors and health care service utilization. Results : Medical insurance type, marital status, and chronic disease were factors that influenced health care service utilization. Furthermore, the factors that influenced individual medical expenses were cohabitation, inpatient days, and chronic disease. Conclusions : Primary findings and exploratory statistics revealed that there were strong correlations and interaction among some of the predictor variables. Because of the chronologically limited nature of the sample data set gathered in 2012, it would be helpful to continue to develop or research related constructs that may capture relationships more effectively among extended populations.
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