원문정보
초록
영어
The purpose of this study was to compare the risk-adjusted in-hospital mortality for craniotomies between logistic regression and multilevel analysis. By using patient sample data from the Health Insurance Review & Assessment Service, in-patients with a craniotomy were selected as the survey target. The sample data were collected from a total number of 2,335 patients from 90 hospitals. The sample data were analyzed with SAS 9.3. From the results of the existing logistic regression analysis and multilevel analysis, the values from the multilevel analysis represented a better model than that of logistic regression. The intra-class correlation (ICC) was 18.0%. It was found that risk-adjusted in-hospital mortality for craniotomies may vary in every hospital. The agreement by kappa coefficient between the two methods was good for the risk-adjusted in-hospital mortality for craniotomies, but the factors influencing the outcome for that were different.
목차
Ⅰ. 서론
1. 연구의 배경 및 필요성
Ⅱ. 연구방법
1. 연구모형
2. 연구대상
3. 변수 설명
4. 분석방법
Ⅲ. 연구결과
1. 일반적 특성
2. 로지스틱 회귀분석과 다수준 분석을 이용한병원의 사망률 분석
Ⅳ. 고찰 및 결론
REFERENCES