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요양병원의 중증도 보정 사망률

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Type
Research report
Author(s)
조상아윤국회김민수정설희
Issued Date
2023-08
Keyword
요양병원 중증도 보정 사망률요양병원 입원급여 적정성평가중증도 보정 모형 개발ROC Curve사망률과 평가지표 관련성Severity Adjusted-Mortality of Long-Term Care HospitalsThe quality assessment program for long-term care hospitalsDevelopment of Severity-Adjusted ModelRelationship Between Mortality and Evaluation Criteria
Abstract
A long-term care hospital applies per diem payment systems rather than fee-for-service systems for the medical services provided to long-term care inpatients. To prevent the potential underprovision of medical services due to these per diem payment systems and promote improvement in medical quality, the quality assessment program for long-term care hospitals was introduced in 2008. Despite the development and introduction of various criteria in recent quality assessments, there is an increasing demand for the development of new criteria. Among these, there is a growing demand for the introduction of criteria related to mortality rates. Therefore, the purpose of this study is to examine the feasibility of introducing a mortality rate criterion in long-term care hospitals through an analysis of the relationship between severity-adjusted mortality rates and evaluation criteria.
The study conducted an examination of domestic and international evaluation criteria related to long-term care hospitals and mortality rate evaluation criteria. Based on data including health insurance claim data from 2020 to 2022, patient assessment forms from long-term care hospitals, and results of quality assessment of long-term care hospitals, models for severity-adjusted mortality rates in long-term care hospitals were developed. Mortality rates were defined as in-hospital mortality rates, and the development of the severity model considered factors obtained through Bootstrap, literature review, patient assessment forms, and whether patients had a history of COVID-19 infection as adjustment variables. To understand mortality rates according to various treatment characteristics of long-term care hospitals, institutions with treatment volumes exceeding 30% were classified based on their representative treatment characteristics (cancer, dementia, rehabilitation, others). The developed models' goodness-of-fit was assessed using Bootstrap, C-statistics, Corrected C-statistics, AIC (Akaike Information Criterion), and SBC (Schwarz-Bayesian Criterion). The final models were selected through model comparisons based on AIC and SBC, and the severity-adjusted mortality rates were analyzed. Additionally, to understand the relationship between quality assessment criteria and mortality rates, correlation analyses were conducted, and ROC curve analyses were used to determine the discrimination ability of evaluation grades of mortality rate.
Evaluation criteria related to long-term care, both domestically and internationally, include pressure ulcer occurrence rates, community reintegration rates, urinary tract infection rates, improvements in activities of daily living rates, among others. However, evaluations of mortality rates related to long-term care are not conducted on a national level. Furthermore, long-term care hospital mortality rates have shown significant increases after the COVID-19 pandemic. The final selected severity-adjusted model was one that adjusted for clinical risk factors. If an institution's mortality rate significantly exceeds the 95% confidence interval of the severity-adjusted mortality rate, it may indicate factors other than severity adjustment influencing the mortality rate and necessitate monitoring of that institution. Nevertheless, before concluding that the "severity-adjusted model fits well and has good predictive power" or that "monitoring is required for the institution," it is necessary to confirm the models' representativeness. The relationships between mortality rates and evaluation criteria have been demonstrated through various papers, and statistically significant results have also been derived from this study's data, showing significance not only for activities of daily living but also for pressure ulcer presence. Analyses of the discrimination ability of evaluation grade of mortality rate revealed AUC (Area Under the Curve) values of 0.5727 for pre-adjusted mortality rates and 0.5220 for post-adjusted mortality rates.
In conclusion, based on the examination of the feasibility of introducing mortality rate criteria through the severity-adjusted models and the discrimination ability of evaluation grades, it is determined that the data available for generating the severity-adjusted models are limited and the discrimination ability of evaluation grades for mortality rates is lower compared to other indicators. Therefore, the introduction of mortality rate criteria is considered difficult. Instead, enhancing the reliability of current evaluation criteria through improvements is suggested, and for the severity-adjusted models to be representative, the accuracy and reliability of the data should be validated.
Publisher
건강보험심사평가원
URI
https://repository.hira.or.kr/handle/2019.oak/3216
Alternative Title
Severity Adjusted Mortality of Long-Term Care Hospital
Table Of Contents
제1장 서론 ············································································ 1
1. 연구 배경 및 목적 ·················································································· 3
가. 연구 배경 및 필요성 ··················································································· 3
나. 연구 목적 ·································································································· 5
2. 연구 내용 및 방법 ·················································································· 6
가. 연구 내용 및 방법 ······················································································ 6

제2장 국내․외 요양병원 질 평가지표 및 사망률 지표 ············································································ 9
1. 국내·외 요양병원 관련 의료 질 평가지표 ················································ 11
가. 한국 ········································································································ 11
나. 미국 ········································································································ 13
다. 캐나다 ····································································································· 18
라. 호주 ········································································································ 19
마. 일본 ········································································································ 20
2. 국내·외 사망률 지표 ············································································· 23
가. 국내·외 급성기 병원 사망률 ····································································· 23
나. 사망에 영향을 미치는 요인 ········································································ 37
3. 소결 ·································································································· 38

제3장 요양병원 중증도 보정 사망률 ············································································ 39
1. 자료 분석 방법 ···················································································· 41
가. 자료 분석 기준 ························································································ 41
나. 분석 방법 ································································································ 49
2. 요양병원 중증도 보정 사망률 ································································· 52
가. 요양병원 사망률에 영향을 미치는 요인분석 ················································· 52
나. 요양병원 중증도 보정 사망률 모형 개발 ····················································· 59
다. 요양병원 중증도 보정 사망률 ····································································· 63
3. 요양병원 특성별 중증도 보정 사망률 ······················································ 65
가. 요양병원 특성별 사망률에 영향을 미치는 요인분석 ······································· 65
나. 요양병원 특성별 중증도 보정 사망률 모형 개발 ··········································· 81
다. 요양병원 특성별 중증도 보정 사망률 ·························································· 91
4. 소결 ···································································································· 93

제4장 요양병원 입원급여 적정성 평가지표와 사망률 ············································································ 97
1. 자료 분석 방법 ···················································································· 99
가. 자료 분석 기준 ························································································ 99
나. 분석 방법 ······························································································ 105
2. 요양병원 입원급여 적정성 평가현황 ······················································ 106
가. 구조부문 평가지표 결과 ··········································································· 106
나. 진료부문 평가지표 결과 ··········································································· 109
다. 모니터링 평가지표 결과 ··········································································· 116
3. 요양병원 입원급여 적정성 평가지표와 사망률 ········································ 118
가. 요양병원 입원급여 적정성 평가지표와 사망률간의 관련성 ···························· 118
나. 요양병원 특성별 적정성 평가지표와 사망률간의 관련성 ······························· 123
다. 사망률과 평가지표의 요양병원 입원급여 적정성 평가 등급 판별 비교 ··········· 133
4. 소결 ·································································································· 144

제5장 결론 및 제언 ············································································ 149
1. 연구 결과 요약 ·················································································· 151
2. 연구의 제한점 ···················································································· 154

◾ 참고 문헌 ····················································································· 155
◾ 부록 ····························································································· 159
◾ ABSTRACT ················································································· 254
Publisher
건강보험심사평가원
Location
KOR
Citation
조상아. (2023-08). 요양병원의 중증도 보정 사망률.
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