지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
이용수
초록· 키워드
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This study purposed to evaluate the influences of rival hospitals on the number of patients who visited the a study territory hospital. Spatial analysis technique was used to measure the impact of rival hospitals in study region.
Selected hospitals were all medical school affiliated hospitals which were located in Daejeon metropolitan city and Chungchungnamdo. Patient data was collected from the claims data of the study hospital, and the number of inpatient and outpatients who visited the study hospital between January and June in 2008 were calculated on the smallest administrative district, Eup, Myeon, and Dong, in study region. To control the differences of regional characteristics among Eup, Myeon, Dong, socio-economic variables (total population, number of people aged over 65, number of basic livelihood security recipients, distance from the study hospital to the centroid point of each Eup, Myeon, Dong, number of business, and number of employees) were included in analysis model. These variables were collected from the annual year book of city as well as county located in study region.
Cluster analysis classified the study region into three groups by using the difference of between th actual number of inpatient/outpatient and the predicted number of inpatient/outpatient in Eup, Myeon, and Dong. Most areas around the rivalry hospitals were categorized into same group. Multiple regression analysis indicated that areas around rivalry hospitals had statistically significantly negative relationship with the number of inpatients and outpatients who visited the study hospital. As the buffer size was increased from 5Km to 10Km, the standardized regression coefficients were decreased.
These study results confirmed that rivalry hospitals in region had negative impacts on the performance of hospitals. It suggests that hospitals will require not only to select their location to minimize the effects of rivalry hospitals, but also to establish their strategy to cope with the rivalry’s threats in their region.
Selected hospitals were all medical school affiliated hospitals which were located in Daejeon metropolitan city and Chungchungnamdo. Patient data was collected from the claims data of the study hospital, and the number of inpatient and outpatients who visited the study hospital between January and June in 2008 were calculated on the smallest administrative district, Eup, Myeon, and Dong, in study region. To control the differences of regional characteristics among Eup, Myeon, Dong, socio-economic variables (total population, number of people aged over 65, number of basic livelihood security recipients, distance from the study hospital to the centroid point of each Eup, Myeon, Dong, number of business, and number of employees) were included in analysis model. These variables were collected from the annual year book of city as well as county located in study region.
Cluster analysis classified the study region into three groups by using the difference of between th actual number of inpatient/outpatient and the predicted number of inpatient/outpatient in Eup, Myeon, and Dong. Most areas around the rivalry hospitals were categorized into same group. Multiple regression analysis indicated that areas around rivalry hospitals had statistically significantly negative relationship with the number of inpatients and outpatients who visited the study hospital. As the buffer size was increased from 5Km to 10Km, the standardized regression coefficients were decreased.
These study results confirmed that rivalry hospitals in region had negative impacts on the performance of hospitals. It suggests that hospitals will require not only to select their location to minimize the effects of rivalry hospitals, but also to establish their strategy to cope with the rivalry’s threats in their region.
목차
Abstract
1. 서론
2. 연구방법
3. 연구 결과
4. 토의
5. 결론
참고문헌
참고문헌 (39)
참고문헌 신청
1. [학위논문] - 김선희 / 2006 / GIS를 이용한 입원환자의 지리적 접근성 분석 : 경기도 소재 한 대학병원을 대상으로 / 석사 / 연세대학교 보건대학원
2. [학위논문] - 김춘배 / 1996 / 우리나라 의사의 지역적 분포에 관한 연구 / 박사 / 延世大學校 大學院
3. [기타자료] - 대한병원협회 / / 2011 전국명원명부
4. [단행본] - 송지준 / 2011 / 논문작성에 필요한 SPSS/AMOS 통계분석방법 / 21세기사
5. [단행본] - 배화수 / 2004 / SAS Enterprise Miner를이용한 데이터마이닝 / 교우사
2. [학위논문] - 김춘배 / 1996 / 우리나라 의사의 지역적 분포에 관한 연구 / 박사 / 延世大學校 大學院
3. [기타자료] - 대한병원협회 / / 2011 전국명원명부
4. [단행본] - 송지준 / 2011 / 논문작성에 필요한 SPSS/AMOS 통계분석방법 / 21세기사
5. [단행본] - 배화수 / 2004 / SAS Enterprise Miner를이용한 데이터마이닝 / 교우사
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UCI(KEPA) : I410-ECN-0101-2014-325-000620532