Korea Journal of Hospital Management (한국병원경영학회지)
- Volume 16 Issue 3
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- Pages.1-18
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- 2011
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- 1226-6299(pISSN)
Geographic distribution analysis of hospital beds by Gini index and Lorenz curve
Gini 계수와 Lorenz 곡선에 의한 지역별 병상분포 양상 분석
- An, Byeung-Ki (Department of Health Care Administration, Keimyung College) ;
- Park, Jae-Yong (Department of Health Care Administration, Kyungbuk College) ;
- Kim, Key-Hoon (Department of Preventive Medicine, Kyungpook National University)
- Received : 2011.01.10
- Accepted : 2011.07.25
- Published : 2011.09.30
Abstract
In this study, population census(2005 & 2008) from Statistics Korea and the statistical data of the number of hospital beds by healthcare facilities classification from Ministry of Health and Welfare were used. For analyzing distribution of hospital beds, hospital beds were classified as acute care beds, long-term care beds and all hospital beds, which is including acute and long-term care beds. Regional areas, which are city(si), county(goon) for the study and district(gu) were reclassified as metropolitan city, city(si) and county(goon). Because there were 165 regional areas in 2005 and 2008, 84 and 81 areas were classified as metropolitan city and/or city and county, respectively. Gini index were calculated for hospital beds from each year, and Lorenz curves were drawn. The following summary presents the findings of this study. Compared to the year 2005 and 2008, the Gini index was 0.24472, and hospital bed numbers increased slightly by 0.80% than in 2005. In case of acute care beds, the Gini index was 0.23797(0.13%), and there was no big difference; however, the Gini index for long-term care beds was 0.41091, and there was a 30.25% decrease, which shows improvement to reduce disparities. It might result from an increase in long-term care beds up to 476.2%. For geographical equality of hospital beds, the Gini index and Lorenz curve, which can be compared the degree of inequality in the distribution of hospital beds reasonably and possibly show statistical data, should be used. Through this study, the distribution policy of hospital beds should be established.