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RISS 인기검색어
- 검색키워드
- 저자 : 이지전 ( Jee Jeon Lee ) (검색결과 6 건)
- 무료
- 기관 내 무료
- 유료
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이지전,유승흠,오희철,남정모,박은철,이윤환,Yi, Jee-Jeon,Yu, Seung-Hum,Ohrr, Hee-Chul,Nam, Chung-Mo,Park, Eun-Chul,Lee, Yoon-Whan 한국병원경영학회 2001 병원경영학회지 Vol.25 No.3
The purpose of this study is to classify elderly patient in long-term care facilities using RUG(Resource Utilization Group)-III. It is designed by measuring patient medical characteristics and medical staff time. Elderly patients are classified into 7 categories by clinical(medical and behavioral) hierarchical typology of patients. Through the tertiary split, all 44 groups are formulated. This classification is explained by each patient resource(staff time) utilization level which is called CMI(Case-Mix Index). Major findings are as follows; 1. The objects in this study were classified into 35 groups out of 44 groups. The most frequent category is clinical complex category(CCC; 38.9%). And extensive service category(ESC; 18.8%), reduced physical function category(RPC; 13.1%), special rehabilitation category(SRC; 12.8%), and impaired cognitive category(ICC; 0.00%) are followed. 2. The mean of total CMI was $1.02{\pm}0.36$, ranging from 0.68 to 1.44(1 vs 2.12). The mean of CMI of SRC is only 1.17 which should be the highest. The means of ESC and see are equally 1.20. The means of CMI of CCI, ICC, BPC, and RPC were 0.90, 0.75, 0.83 and 0.96, respectively. 3. The validity of this classification was tested. Trend-test using Regression Analysis was done in the secondary split level. SCC, CCC, ICC, and RPC which covered 68.4% of this research objects showed linear trend of CMI in interim classification. This results were statistically significant. 4. In clinical hierarchy, the trend were showed linearity. But the multiple comparison of categories using Scheffe-test showed that SRC, ESC and see had same level of CMI means and CCC and ICC, too. This results were statistically significant. Classifying elderly patients with RUG-III, the results showed partly linear trend in clinical hierarchy and in interim classification in conclusion. But, in clinical hierarchy, it was failed to show the consistent order of CMI. It can be explained by two reasons. One is that this research subjects were overlapped in each clinical hierarchy group. And the other is that the some of the characteristics for clinical hierarchy is not appropriate for them. For the further study, it needs to have proper sample size and to modify RUG-III to K-RUG to consider our.. medical environment.
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노인의 사망 전 6개월간 의료이용수준과 간병가족의 가족부담과의 관련성
이지전,이희나,오희철,정혜영,이상욱,Yi, Jee-Jeon,Lee, Hee-Na,Ohrr, Hee-Choul,Jung, Hye-Young,Yi, Sang-Wook 대한예방의학회 2003 예방의학회지 Vol.36 No.4
Objective : To investigate the relationship between medical expenses and the burden of families caring for the elderly in the last 6 months of life, and to evaluate the factors relating to the burden of family caregivers. Methods : The families of 301 persons older than 65 years, who died between 1 July and 31 December 2001, and were registered in Resident-based- Health Insurance Programs in Seoul, were interviewed. The medical expenses and length of stay among the elderly were collected from Korean Health Insurance Corporations. Results : 31 percents of the elderly had no medical expenses in the last 6 months of life. On average, the objective burden (4.92) was higher than the subjective burden (3.35). Families caring for male elderly had a higher burden. With increasing age af death, the objective burden was significantly increased. The burden on a family seemed to be influenced more by the family income than the property of the elderly. With increasing total health care costs, the objective burden on the family caregivers was significantly increased, but with increasing medical expenses, the subjective burden was significantly decreased. Conclusion : An association between healthcare utilization and burden on families was observed. The reason for the decreasing subjective burden when medical expenses were decreased was unclear. Further research will be needed.
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이지전 ( Jee Jeon Yi ),유승흠 ( Seung Hum Yu ),오희철 ( Hee Chul Ohrr ),남정모 ( Chung Mo Nam ),박은철 ( Eun Chul Park ),이윤환 ( Yoon Whan Lee ) 한국병원경영학회 2001 병원경영학회지 Vol.6 No.3
The purpose of this study is to classify elderly patient in long-term care facilities using RUG(Resource Utilization Group)-Ⅲ. It is designed by measuring patient medical characteristics and medical staff time. Elderly patients are classified into 7 categories by clinical(medical and behavioral) hierarchical typology of patients. Through the tertiary split, all 44 groups are formulated. This classification is explained by each patient resource(staff time) utilization level which is called CMI(Case-Mix Index). Major findings are as follows ; 1. The objects in this study were classified into 35 groups out of 44 groups. The most frequent category is clinical complex category(CCC; 38.9%). And extensive service category(ESC; 18.8%), reduced physical function category(RPC; 13.1%), special rehabilitation category(SRC; 12.8%), and impaired cognitive category(ICC; 0.96%) are followed. 2. The mean of total CMI was 1.02±0.36, ranging from 0.68 to 1.44(1 vs 2.12). The mean of CMI of SRC is only 1.17 which should be the highest. The means of ESC and SCC are equally 1.20. The means of CMI of CCI, ICC, BPC, and RPC were 0.90, 0.75, 0.83 and 0.96, respectively. 3. The validity of this classification was tested. Trend-test using Regression Analysis was done in the secondary split level. SCC, CCC, ICC, and RPC which covered 68.4% of this research objects showed linear trend of CMI in interim classification. This results were statistically significant. 4. In clinical hierarchy, the trend were showed linearity. But the multiple comparison of categories using Scheffe-test showed that SRC, ESC and SCC had same level of CMI means and CCC and ICC, too. This results were statistically significant. Classifying elderly patients with RUG-Ⅲ, the results showed partly linear trend in clinical hierarchy and in interim classification in conclusion. But, in clinical hierarchy, it was failed to show the consistent order of CMI. It can be explained by two reasons. One is that this research subjects were overlapped in each clinical hierarchy group. And the other is that the some of the characteristics for clinical hierarchy is not appropriate for them. For the further study, it needs to have proper sample size and to modify RUG-Ⅲ to K-RUG to consider our medical environment.
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이지전 ( Jee Jeon Yi ),유승흠 ( Seung Hum Yu ),오희철 ( Hee Chul Ohrr ),남정모 ( Chung Mo Nam ),박은철 ( Eun Chul Park ),이윤환 ( Yoon Whan Lee ) 한국병원경영학회 2001 병원경영학회지 Vol.6 No.3
The purpose of this study is to classify elderly patient in long-term care facilities using RUG(Resource Utilization Group)-Ⅲ. It is designed by measuring patient medical characteristics and medical staff time. Elderly patients are classified into 7 categories by clinical(medical and behavioral) hierarchical typology of patients. Through the tertiary split, all 44 groups are formulated. This classification is explained by each patient resource(staff time) utilization level which is called CMI(Case-Mix Index). Major findings are as follows ; 1. The objects in this study were classified into 35 groups out of 44 groups. The most frequent category is clinical complex category(CCC; 38.9%). And extensive service category(ESC; 18.8%), reduced physical function category(RPC; 13.1%), special rehabilitation category(SRC; 12.8%), and impaired cognitive category(ICC; 0.96%) are followed. 2. The mean of total CMI was 1.02±0.36, ranging from 0.68 to 1.44(1 vs 2.12). The mean of CMI of SRC is only 1.17 which should be the highest. The means of ESC and SCC are equally 1.20. The means of CMI of CCI, ICC, BPC, and RPC were 0.90, 0.75, 0.83 and 0.96, respectively. 3. The validity of this classification was tested. Trend-test using Regression Analysis was done in the secondary split level. SCC, CCC, ICC, and RPC which covered 68.4% of this research objects showed linear trend of CMI in interim classification. This results were statistically significant. 4. In clinical hierarchy, the trend were showed linearity. But the multiple comparison of categories using Scheffe-test showed that SRC, ESC and SCC had same level of CMI means and CCC and ICC, too. This results were statistically significant. Classifying elderly patients with RUG-Ⅲ, the results showed partly linear trend in clinical hierarchy and in interim classification in conclusion. But, in clinical hierarchy, it was failed to show the consistent order of CMI. It can be explained by two reasons. One is that this research subjects were overlapped in each clinical hierarchy group. And the other is that the some of the characteristics for clinical hierarchy is not appropriate for them. For the further study, it needs to have proper sample size and to modify RUG-Ⅲ to K-RUG to consider our medical environment.
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