건강보험 청구자료분석을 통한 요양시설과 요양병원 노인의 급성기병원 입원 및 사망의 관련 요인
Factors Associated with Acute Hospitalizations and Mortality of Older Adults in Long-Term Care Facilities and Long-Term Care Hospitals: A Population-Based, Pubic-Insurance Big-Data Analysis
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초록
Purpose: This study examined individual, institutional, and regional factors associated with 90-day acute hospital- izations and 1-year mortality among older people admitted to long-term care facilities (LTCFs) and long-term care hospitals (LTCH) in Korea. Methods: We analyzed the National Health Insurance Services (NHIS) Elderly Cohort Database linked with regional statistics. The sample included 13,839 LTCF residents and 23,962 LTCH patients. Multi-level logistic regression analyses were conducted. Results: The risk for 90-day acute hospital admission was positively associated with being male and having comorbidities among both LTCF residents and LTCH patients. Being 80+ years old and having a severe case-mix (LTCF grade 1/LTCH groups A1 & 2) were positively associated with acute hospitalizations among LTCF residents, but the relationships were negative among LTCH patients. People in urban LTCFs and/or those in facilities located in regions with a higher physician supply had lower acute hospitalizations. The risk for 1-year mortality after LTCF or LTCH admission was positively associated with being an old male, having a severe case-mix, and comorbidities. Among institutional factors, public ownership for LTCFs and being a larger size for LTCHs were negatively associated with mortality. Conclusion: This health and long-term care big data analysis showed various factors influenced adverse health outcomes among older Koreans receiving institutionalized long-term care, and the patterns of the relationships were different for LTCFs and LTCHs. Further investigations are needed into the mechanisms underlying the complex dynamics among the multi-level determinants of acute care utilization and mortality by institution type.
Abstract
Purpose: This study examined individual, institutional, and regional factors associated with 90-day acute hospital- izations and 1-year mortality among older people admitted to long-term care facilities (LTCFs) and long-term care hospitals (LTCH) in Korea. Methods: We analyzed the National Health Insurance Services (NHIS) Elderly Cohort Database linked with regional statistics. The sample included 13,839 LTCF residents and 23,962 LTCH patients. Multi-level logistic regression analyses were conducted. Results: The risk for 90-day acute hospital admission was positively associated with being male and having comorbidities among both LTCF residents and LTCH patients. Being 80+ years old and having a severe case-mix (LTCF grade 1/LTCH groups A1 & 2) were positively associated with acute hospitalizations among LTCF residents, but the relationships were negative among LTCH patients. People in urban LTCFs and/or those in facilities located in regions with a higher physician supply had lower acute hospitalizations. The risk for 1-year mortality after LTCF or LTCH admission was positively associated with being an old male, having a severe case-mix, and comorbidities. Among institutional factors, public ownership for LTCFs and being a larger size for LTCHs were negatively associated with mortality. Conclusion: This health and long-term care big data analysis showed various factors influenced adverse health outcomes among older Koreans receiving institutionalized long-term care, and the patterns of the relationships were different for LTCFs and LTCHs. Further investigations are needed into the mechanisms underlying the complex dynamics among the multi-level determinants of acute care utilization and mortality by institution type.
참고문헌 (30)
- "2021 Statistics on the aged" (2021)[URL]
- Kim H, "A decade of public long-term care insurance in South Korea : policy lessons for aging countries", Health Policy, 125(1), pp.22~26 (2021)[DOI]
- 오은환, "요양병원의 성장과 운영상의 주요 이슈", 보건행정학회지, 28(3), pp.257~262 (2018), 한국보건행정학회
- Quality care strategy for long-term care hospitals and nursing homes -focusing on patient (resident) safety, "Park EJ", Korea Institute for Health and Social Affairs, ~, pp.Report No. 2017-02 (2017)
- Kim H, "Delivery of institutional long-term care under two social insurances : lessons from the Korean Experience", Health Policy, 119(10), pp.1330~1337 (2015)[DOI]
- Study on the improvement of health and long-term care system for the elderly based on field survey and insurance data analysis, "Kwon S", National Health Insurance Services Research, Graduate School of Public Health, Seoul National University, ~, pp.Report No. 13-22 (2013)
- 김동환, "급성기 병원과 장기요양시설 공급이 요양병원 입원진료비에 미치는 영향: 요양병원 기능에 대한 시사점을 중심으로", 한국노년학, 33(3), pp.647~659 (2013), 한국노년학회
- Hwang SE, "The characteristics of residents in nursing home and association factor of hospitalization", Korean Journal of Family Practice, 5(suppl. 3), pp.S26~S32 (2015)
- 박영옥, "일 노인요양시설 거주 노인의 의료기관 이용 영향 요인", 노인간호학회지, 12(1), pp.10~20 (2010), 한국노인간호학회
- Kim, H., "Study on the use of healthcare services by the longterm care benefit recipients", pp.2017
- McArthur C, "Resident-level factors associated with hospitalization rates for newly admitted long-term care residents in Canada : a retrospective cohort study", Canadian Journal on Aging, 2019, pp.38(4), 441~448
- Moyo P, "Risk factors for pneumonia and influenza hospitalizations in long-term care facility residents : a retrospective cohort study", BioMed Central Geriatrics, 20, pp.47~ (2020)[DOI]
- Young Y, "Clinical and nonclinical factors associated with potentially preventable hospitalization among nursing home residents in New York state", Journal of the American Medical Directors Association, 12(5), pp.364~371 (2011)[DOI]
- Zweig SC, "Effect of do-not-resuscitate orders on hospitalization of nursing home residents evaluated for lower respiratory infections", Journal of the American Geriatrics Society, 52(1), pp.51~58 (2004)[DOI]
- 김경완, "일 권역응급의료센터를 방문하는요양병원 환자들의 특성 및 사망 위험요인", 지역사회간호학회지, 27(4), pp.327~336 (2016), 한국지역사회간호학회[DOI]
- 박운제, "일개 특수 요양병원 환자들의 특성 및 사망 위험요인", 한국산학기술학회논문지, 21(12), pp.651~659 (2020), 한국산학기술학회[DOI]
- Tanuseputro P, "Hospitalization and mortality rates in long-term care facilities: does for-profit status matter?", Journal of the American Medical Directors Association, 6(10), pp.874~883 (2015)[DOI]
- Buntin MB, "How much post-acute care use affected by its availability?", Health Services Research, 40(2), pp.413~434 (2005)[DOI]
- Pitzul KB, "Discharge destination following hip fracture : comparative effectiveness and cost analysis", Archives of Osteoporosis, 12, pp.87~ (2017)[DOI]
- Oh Yumi, "The National Health Plan 2030: Its Purpose and Directions of Development", 예방의학회지, 54(3), pp.173~181 (2021), 대한예방의학회[DOI]
- 조홍준, "보건의료에서의 형평성: 우리나라의 현황", 대한의사협회지, 56(3), pp.184~194 (2013), 대한의사협회
- Kang HJ, "Healthcare disparities and their policy implications", KIHASA Health and Welfare Policy Forum, 4(270), pp.18~20 (2019)[DOI]
- 김대환, "소득계층별 의료접근성 분석과 국민건강보험 보장률의 재해석", 보험학회지, (114), pp.85~112 (2018), 한국보험학회[DOI]
- Kim YI, "Cohort profile : national health insurance service-senior(NHISsenior)cohort in Korea", British Medical Journal Open, 9(7), pp.e024344~ (2019)[DOI]
- Developing an inventory and typology of land-use planning systems and policy instruments in OECD countries. OECD Environment Working Papers, "Silva EA", OECD Publishing, 51~ (2015)
- Kadu M, "Risk of hospitalization in long-term care residents living with heart failure : a retrospective cohort study", Canadian Geriatrics Journal, 22(4), pp.171~ (2019)[DOI]
- 윤난희, "생애말기 노인의 장기요양서비스 이용 특성과 영향요인", 보건행정학회지, 26(4), pp.305~314 (2016), 한국보건행정학회
- 이용재, "의료급여환자의 요양병원 이용에 관한 연구", 한국콘텐츠학회 논문지, 17(5), pp.366~375 (2017), 한국콘텐츠학회[DOI]
- Kim DH, "Geospatial accessibility and regional medical use : focused on the neighborhood unit", HIRA Research, 14(5), pp.45~57 (2020)
- 이진희, "지역적 건강불평등과 개인 및 지역수준의 건강결정요인", 보건사회연구, 36(2), pp.345~384 (2016), 한국보건사회연구원[DOI]
