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Developing a Hospital-Wide All-Cause Risk-Standardized Readmission Measure Using Administrative Claims Data in Korea: Methodological Explorations and Implications

건강보험 청구자료를 이용한 일반 질 지표로서의 위험도 표준화 재입원율 산출: 방법론적 탐색과 시사점

  • Kim, Myunghwa (Division of Health Care Management and Policy, Seoul National University Graduate School of Public Health) ;
  • Kim, Hongsoo (Division of Health Care Management and Policy, Seoul National University Graduate School of Public Health) ;
  • Hwang, Soo-Hee (Health Insurance Review and Assessment Research Institute, Health Insurance Review and Assessment Service)
  • 김명화 (서울대학교 보건대학원 보건정책관리학과) ;
  • 김홍수 (서울대학교 보건대학원 보건정책관리학과) ;
  • 황수희 (건강보험심사평가원 심사평가연구소)
  • Received : 2015.06.03
  • Accepted : 2015.09.24
  • Published : 2015.09.30

Abstract

Background: The purpose of this study was to propose a method for developing a measure of hospital-wide all-cause risk-standardized readmissions using administrative claims data in Korea and to discuss further considerations in the refinement and implementation of the readmission measure. Methods: By adapting the methodology of the United States Center for Medicare & Medicaid Services for creating a 30-day readmission measure, we developed a 6-step approach for generating a comparable measure using Korean datasets. Using the 2010 Korean National Health Insurance (NHI) claims data as the development dataset, hierarchical regression models were fitted to calculate a hospital-wide all-cause risk-standardized readmission measure. Six regression models were fitted to calculate the readmission rates of six clinical condition groups, respectively and a single, weighted, overall readmission rate was calculated from the readmission rates of these subgroups. Lastly, the case mix differences among hospitals were risk-adjusted using patient-level comorbidity variables. The model was validated using the 2009 NHI claims data as the validation dataset. Results: The unadjusted, hospital-wide all-cause readmission rate was 13.37%, and the adjusted risk-standardized rate was 10.90%, varying by hospital type. The highest risk-standardized readmission rate was in hospitals (11.43%), followed by general hospitals (9.40%) and tertiary hospitals (7.04%). Conclusion: The newly developed, hospital-wide all-cause readmission measure can be used in quality and performance evaluations of hospitals in Korea. Needed are further methodological refinements of the readmission measures and also strategies to implement the measure as a hospital performance indicator.

Keywords

References

  1. Kim Y, Lee S, Kwon S, Kang M, Choi S, Eun S. A study on the development of indicators of quality assessment in healthcare benefits. Seoul: Health Insurance Review and Assessment, Seoul National University; 2010.
  2. Rath S, Heuer C, Alle W, Bach A, Bischoff B, Bonsanto MM, et al. Integration of generic indicators for quality management in hospital information systems. Int J Med Inform 1999;55(3):179-188. DOI: http://dx.doi.org/10.1016/s1386-5056(99)00050-7.
  3. Commonwealth Fund Commission on a High Performance Health System. Why not the best?: results from the national scorecard on U.S. health system performance. New York(NY): Commonwealth Fund; 2008.
  4. Medicare Payment Advisory Commission. Payment policy for inpatient readmissions. In: Medicare Payment Advisory Commission, editor. Promoting greater efficiency in Medicare. Washington (DC): Medicare Payment Advisory Commission; 2007. pp. 103-120.
  5. Jencks SF, Williams MV, Coleman EA. Rehospitalizations among patients in the Medicare fee-for-service program. N Engl J Med 2009;360(14):1418-1428. DOI: http://dx.doi.org/10.1056/NEJMsa0803563.
  6. Goldfield NI, McCullough EC, Hughes JS, Tang AM, Eastman B, Rawlins LK, et al. Identifying potentially preventable readmissions. Health Care Financ Rev 2008;30(1):75-91.
  7. Weissman JS, Ayanian JZ, Chasan-Taber S, Sherwood MJ, Roth C, Epstein AM. Hospital readmissions and quality of care. Med Care 1999;37(5):490-501. https://doi.org/10.1097/00005650-199905000-00008
  8. Ashton CM, Kuykendall DH, Johnson ML, Wray NP, Wu L. The association between the quality of inpatient care and early readmission. Ann Intern Med 1995;122(6):415-421. DOI: http://dx.doi.org/10.7326/0003-4819-122-6- 199503150-00003.
  9. Kossovsky MP, Perneger TV, Sarasin FP, Bolla F, Borst F, Gaspoz JM. Comparison between planned and unplanned readmissions to a department of internal medicine. J Clin Epidemiol 1999;52(2):151-156. DOI: http://dx.doi.org/10.1016/s0895-4356(98)00142-5.
  10. Wong EL, Cheung AW, Leung MC, Yam CH, Chan FW, Wong FY, et al. Unplanned readmission rates, length of hospital stay, mortality, and medical costs of ten common medical conditions: a retrospective analysis of Hong Kong hospital data. BMC Health Serv Res 2011;11:149. DOI: http://dx.doi.org/10.1186/1472-6963-11-149.
  11. Horwitz L, Partovian C, Lin Z, Herrin J, Grady J, Conover M, et al. Hospital-wide (all-condition) 30-day risk-standardized readmission measure: draft measure methodology report. New Haven (CT): Yale New Haven Health Services Corporation, Center for Outcomes Research & Evaluation; 2011.
  12. Horwitz LI, Partovian C, Lin Z, Grady JN, Herrin J, Conover M, et al. Development and use of an administrative claims measure for profiling hospital-wide performance on 30-day unplanned readmission. Ann Intern Med 2014;161(10 Suppl):S66-S75. DOI: http://dx.doi.org/10.7326/M13-3000.
  13. Horwitz L, Partovian C, Lin Z, Herrin J, Grady J, Conover M. Hospital-wide all-cause unplanned readmission measure: final technical report. Baltimore (MD): Centers for Medicare and Medicaid Services; 2012.
  14. Oh HJ, Yu SH. A case-control study of unexpected readmission in a university hospital. Korean J Prev Med 1999;32(3):289-296.
  15. Oh H, Yu S. Association between unplanned and planned readmission in an university hospital. J Korean Soc Qual Assur Health Care 1997;4(2):242-259.
  16. Hong J. A study of the characteristics of readmitted patients in an university hospital in Korea. J Korean Soc Qual Assur Health Care 1995;2(2):56-71.
  17. Hwang J, Lee S. A study on the identification of risk factors for unplanned readmissions in a university hospital. J Korean Community Health Nurs Acad Soc 2002;16(1):201-212.
  18. Lee E, Yu S, Lee H, Kim S. Factors Associated with unplanned hospital readmission. Korean J Hosp Manag 2010;15(4):125-142.
  19. Moon O, Kang S, Lee E, Choi Y, Lee H. An analysis on the characteristics of high cost patients in the regional medical insurance programs. Korean J Health Policy Admin 1993;3(1):53-83.
  20. Allaudeen N, Vidyarthi A, Maselli J, Auerbach A. Redefining readmission risk factors for general medicine patients. J Hosp Med 2011;6(2):54-60. DOI: http://dx.doi.org/10.1002/jhm.805.
  21. Goodney PP, Stukel TA, Lucas FL, Finlayson EV, Birkmeyer JD. Hospital volume, length of stay, and readmission rates in high-risk surgery. Ann Surg 2003;238(2):161-167. DOI: http://dx.doi.org/10.1097/01.sla.0000081094.66659.c3.
  22. Hasan O, Meltzer DO, Shaykevich SA, Bell CM, Kaboli PJ, Auerbach AD, et al. Hospital readmission in general medicine patients: a prediction model. J Gen Intern Med 2010;25:211-9. DOI: http://dx.doi.org/10.1007/s11606-009-1196-1.
  23. Librero J, Peiro S, Ordinana R. Chronic comorbidity and outcomes of hospital care: length of stay, mortality, and readmission at 30 and 365 days. J Clin Epidemiol 1999;52(3):171-179. https://doi.org/10.1016/S0895-4356(98)00160-7
  24. Quan H, Li B, Couris CM, Fushimi K, Graham P, Hider P, et al. Updating and validating the Charlson comorbidity index and score for risk adjustment in hospital discharge abstracts using data from 6 countries. Am J Epidemiol 2011;173(6):676-682. DOI: http://dx.doi.org/10.1093/aje/kwq433.
  25. Health Insurance Review and Assessment Service. The results of quality assessment in healthcare benefits. Seoul: Health Insurance Review and Assessment Service; 2014.
  26. Horwitz LI, Lin Z, Herrin J, Bernheim S, Drye EE, Krumholz HM, Hines HJ Jr, et al. Association of hospital volume with readmission rates: a retrospective cross-sectional study. BMJ 2015;350:h447. DOI: http://dx.doi.org/10.1136/bmj.h447.
  27. Canadian Institute for Health Information. All-cause readmission to acute care and return to the emergency department. Ottawa: Canadian Institute for Health Information; 2012.
  28. Sg2 Healthcare Intelligence. Sg2 Service Kit: reducing 30-day emergency readmissions. Skokie (IL): Sg2 Healthcare Intelligence; 2011.
  29. James J. Health policy brief: Medicare Hospital Readmissions Reduction Program [Internet]. Bethesda (MD): Health Affairs; 2013 [cited 2015 Sep 22]. Available from: http://healthaffairs.org/healthpolicybriefs/brief_pdfs/healthpolicybrief_102.pdf.
  30. Clarke A. Are readmissions avoidable? BMJ 1990;301(6761):1136-1138. https://doi.org/10.1136/bmj.301.6761.1136
  31. Milne R, Clarke A. Can readmission rates be used as an outcome indicator? BMJ 1990;301(6761):1139-1140. DOI: http://dx.doi.org/10.1136/bmj.301.6761.1139.
  32. Hasan M. Readmission of patients to hospital: still ill defined and poorly understood. Int J Qual Health Care 2001;13(3):177-179. DOI: http://dx.doi.org/10.1093/intqhc/13.3.177.
  33. Stone J, Hoffman GJ. Medicare hospital readmissions: issues, policy options and PPACA. Washington (DC): Congressional Research Service report; 2010.

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