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국내 반복입원의 현황과 환자 특성: 외래진료 민감질환을 중심으로
Current Status of Repeated Hospitalization in South Korea: Focused on Ambulatory Care Sensitive Conditions 원문보기

Quality improvement in health care : QIH = 한국의료질향상학회지, v.27 no.2, 2021년, pp.45 - 56  

정혜민 (서울대학교병원 교육인재개발실) ,  김현주 (신성대학교 간호학과) ,  이진용 (서울대학교 의과대학 의료관리학교실)

Abstract AI-Helper 아이콘AI-Helper

Purpose: Repeated hospitalization could be a proxy of unnecessary or preventive admission in South Korea where barriers to hospitalization are relatively low. This study aimed to estimate the current status of repeated hospitalization due to ambulatory care sensitive conditions (ACSC) in South Korea...

주제어

참고문헌 (23)

  1. Kim M, Kim H, Hwang SH. Developing a hospital-wide all-cause risk-standardized readmission measure using administrative claims data in Korea: methodological explorations and implications. Health Policy and Management. 2015;25(3):197-206. 

  2. Choi EY, Ock M, Lee S. Is the risk-standardized readmission rate appropriate for a generic quality indicator of hospital care? Health Policy and Management. 2016;26(2):148-52. 

  3. Longman JM, Passey ME, Ewald DP, Rix E, Morgan GG. Admissions for chronic ambulatory care sensitive conditions-a useful measure of potentially preventable admission? BMC Health Services Research. 2015;15(1):472. 

  4. Freund T, Campbell SM, Geissler S, Kunz CU, Mahler C, Peters-Klimm F, et al. Strategies for reducing potentially avoidable hospitalizations for ambulatory care-sensitive conditions. Annals of Family Medicine. 2013;11(4):363-70. 

  5. Kim AM, Park JH, Yoon TH, Kim Y. Hospitalizations for ambulatory care sensitive conditions as an indicator of access to primary care and excess of bed supply. BMC Health Services Research. 2019;19(1):259. 

  6. Weeks WB, Wang H, Smith J, Weinstein JN. Ambulatory care sensitive condition admission rates in younger and older traditional medicare and medicare advantage populations, 2011-2019. Journal of General Internal Medicine. 2021:1-4 

  7. Weeks WB, Ventelou B, Paraponaris A. Rates of admission for ambulatory care sensitive conditions in France in 2009-2010: trends, geographic variation, costs, and an international comparison. The European Journal of Health Economics. 2015;17(4):453-70. 

  8. Jeong KJ, Kim J, Kang HY, Shin E. Hospital admission rates for ambulatory care sensitive conditions in south korea: could it be used as an indicator for measuring efficiency of healthcare utilization? Health Policy and Management, 2016;26(1):4-11. 

  9. Agency for Healthcare Research and Quality Doctor of Medicine. Prevention Quality Indicators Overview [Internet]. Maryland, United States of America: Agency for Healthcare Research and Quality; 2019 [cited 2019 Dec 30]. Available from: https://www.qualityindicators.ahrq.gov/Modules/pqi_resources.aspx#techspecs 

  10. Chung H, Kim SY, Kim HS. Clinical research from a health insurance database: practice and perspective. The Korean Journal of Medicine. 2019;94(6):463-70. 

  11. Health Insurance Review and Assessment Service & National Health Insurance Service. 2018 National health insurance statistical Yearbook. Wonju, Korea: Health Insurance Review and Assessment Service & National Health Insurance Service; 2019. 

  12. Shin MS, Lee WJ. Estimation of cost by unnecessary readmission of the tertiary hospitals. Journal of the Korea Convergence Society. 2017;8(12):149-57. 

  13. White BM, Ellis JC, Simpson KN. Preventable hospital admissions among the homeless in California: a retrospective analysis of care for ambulatory care sensitive conditions. BMC Health Services Research. 2014;14(1):511. 

  14. Song JH, Jung KS, Kang MW, Kim DJ, Pai H, Suh GY, et al. Treatment guidelines for community-acquired pneumonia in Korea: an evidence-based approach to appropriate antimicrobial therapy. Infection and Chemotherapy. 2009;41(3):133-53. 

  15. Oh SY. The Syakaiteki Nyuin (hospitalization for the long-term care) as the increase factor of health expenditure for the elderly in Japan. Korean Society of Gerontological Social Welfare. 2005;28:207-30. 

  16. Kim SH. A qualitative study on the admission motivation and needs of social hospitalization patients-focused on inpatients of convalescent hospital [master's thesis]. Asan: Soonchunhyang University; 2014. 

  17. Kim JH, Hwang NK, Kim JS, Song YJ, Choi MK, Kim HS, et al. Phenomenological qualitative research of social admission in rehab hospitals: occupational therapists' perspectives. Therapeutic Science for Rehabilitation. 2020;9(3):103-20. 

  18. Organization for Economic Cooperation and Development. Health at a glance 2019. Paris, France: Organization for Economic Cooperation and Development; 2019. 

  19. Hwang JH, Rhee SJ. A study on the identification of risk factors for unplanned readmissions in a university hospital. Journal of Korean Public Health Nursing. 2002;16(1):201-12. 

  20. Wallace E, Hinchey T, Dimitrov BD, Bennett K, Fahey T, Smith SM. A systematic review of the probability of repeated admission score in community-dwelling adults. Journal of the American Geriatrics Society. 2013;61(3):357-64. 

  21. Wallace E, McDowell R, Bennett K, Fahey T, Smith SM. External validation of the Probability of repeated admission (Pra) risk prediction tool in older community-dwelling people attending general practice: a prospective cohort study. BMJ Open. 2016;6(11):e012336. 

  22. Bae SO, Kang GW. A comparative study of the disease codes between korean national health insurance claims and korean national hospital discharge in-depth injury survey. Health Policy and Management. 2014;24(4):322-29. 

  23. Jeon YH, Kang GW. An analysis of the disagreement in disease coding in South Korean medical institutions: focusing on the health insurance claim data of outpatients. Journal of Digital Convergence. 2018;16(12):533-40. 

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