DOI QR코드

DOI QR Code

Application of Patient Safety Indicators using Korean National Hospital Discharge In-depth Injury Survey

퇴원손상심층자료를 이용한 환자안전지표의 적용

  • Kim, Yoo-Mi (Dept. of Health Policy & Management, Sangji University)
  • Received : 2013.02.12
  • Accepted : 2013.05.09
  • Published : 2013.05.31

Abstract

Objective: This study aims to determine whether national patient safety indicators (PSIs) can be calculated. Methods: Using PSI criteria from Organization for Economic Co-Operation and Development (OECD) Health Technical Papers 19 based on the Agency for Healthcare Research and Quality (AHRQ), PSIs were identified in the Korean National Hospital Discharge In-depth Injury Survey (KNHDIIS) database for 875,622 inpatient admissions between 2004 and 2008. Logistic regression was used to estimate factors of variations for PSIs. Results: From 2004 to 2008, 3,084 PSI events of 8 PSIs occurred for over 80 thousands discharges. Rates per 1,000 events for decubitus ulcer (PSI3, 4.88), foreign body left during procedure (PSI5, 0.05), postoperative sepsis (PSI13, 1.32), birth trauma-injury to neonate (PSI17, 7.92) and obstetric trauma-vaginal delivery (PSI18, 32.81) are all identified between ranges from maximum to minimum of OECD rates, respectively. However, rates per 1,000 events for selected infections due to medical care (PSI7, 0.22), postoperative pulmonary embolism or deep vein thrombosis (PSI12, 0.90) and accidental puncture or laceration (PSI15, 0.71) are below the minimum of OECD range. 7 PSIs except PSI 18 showed statistically significant relationship with number of secondary diagnoses. When adjusting patient characteristics, there are statistically significant different rates according to bed size or location of hospitals. Conclusion: This is the first empirical study to identify nationally number of adverse events and PSIs using administrative database. While many factors influencing these results such as quality of data, clinical data and so on are remain, the results indicate opportunities for estimate national statistics for patient safety. Furthermore outcome research such as mortality related to adverse events is needed based on results of this study.

목적: 본 연구의 목적은 국내 환자안전지표 산출 가능성을 확인하는 것이다. 조사방법: 환자안전지표의 정의는 OECD에서 AHRQ에 근거하여 작성한 보건기술문서 19의 기준을 이용하였고, 이에 따라 2004-2008년 퇴원손상심층조사 875,622건에서 환자안전지표(PSIs)를 산출하였다. 로지스틱 회귀분석을 이용하여 환자안전지표별 비율의 변이요인을 확인하였다. 분석결과: 2004-2008년간 약 80만 건의 퇴원 중에서 8개의 환자안전지표에 해당하는 위해사건은 3,084건이었다. 욕창(PSI3, 4.88), 시술 중 이물질 체내 잔류(PSI5, 0.05), 수술 후 패혈증(PSI13, 1.32), 출생손상-신생아(PSI17, 7.92), 산과적 외상-도구를 이용한 질식 분만(PSI18, 32.81)의 퇴원 1,000건당 비율은 모두 OECD 환자안전지표 비율의 최소-최대 범위 내에 포함되었다. 그러나 내과적 치료에 의한 감염(PSI7, 0.22), 수술 후 폐색전증 또는 심부정맥혈전증(PSI12, 0.90), 우발적 천공 또는 열상(PSI15, 0.71)의 퇴원 1,000건당 비율은 OECD 환자안전지표 최소값에 못 미쳤다. PSI 18을 제외한 7개의 지표값 모두 부진단명의 개수와 유의한 상관관계가 있는 것으로 나타났다. 또한 환자안전지표 비율은 환자특성을 보정했을 때, 병상규모 및 병원소재지 등 병원특성에 따른 유의한 차이를 보였다. 결론: 본 연구는 국가적인 행정자료를 이용하여 위해사고를 스크리닝 하는 환자안전지표를 산출한 최초의 실증적 연구이다. 본 연구의 결과는 자료의 질, 임상 관련 변수 등의 결과에 영향을 미치는 요소가 여전히 있지만, 환자안전에 대한 국가적인 통계를 추계하는 기초자료를 제공하였다는데 의의가 있다. 향후 본 연구결과를 바탕으로 위해사건으로 인한 사망 규모 산출 등의 결과연구가 필요하다.

Keywords

References

  1. Organization for Economic Co-Operation and Development. OECD Health Policy Studies-Improving Value in Health Care: Measuring Quality. Paris: OECD, 2010.
  2. Kohn, L. T., Corrigan, J., & Donaldson, M. S.. To err is human: Building a safer health system. Washington, D.C.: National Academy Press, 2000.
  3. EU News. Patient safety-Policy | Public health , European Commission. 2009. Available From: http://ec.europa.eu/health/patient_safety/policy/index_en.htm (Accessed January 29, 2013)
  4. Soop, M., Fryksmark, U., Koster, M., & Haglund, B.. The incidence of adverse events in swedish hospitals: A retrospective medical record review study. International Journal for Quality in Health Care : Journal of the International Society for Quality in Health Care / ISQua, 21(4), 285-291, 2009. DOI: http://dx.doi.org/10.1093%2Fintqhc%2Fmzp025 https://doi.org/10.1093%2Fintqhc%2Fmzp025
  5. Kwak, S.S.. Number of deaths related to patient safety reach as many as 94,000 people annually. Korean Healthlog. December 21, 2010. Available From: http://www.koreahealthlog.com/news/newsview.php?newscd=2010122000032 (Accessed January 10, 2013) [Korean]
  6. de Vries, E. N., Ramrattan, M. A., Smorenburg, S. M., Gouma, D. J., & Boermeester, M. A.. The incidence and nature of in-hospital adverse events: A systematic review. Quality & Safety in Health Care, 17(3), 216-223, 2008. DOI: http://dx.doi.org/10.1136/qshc.2007.023622
  7. Organization for Economic Co-Operation and Development. Health at a Glance 2011. Paris: OECD, 2011.
  8. Organization for Economic Co-Operation and Development. OECD health data 2012 , 2012.
  9. Kim, S.M., Jeong, G.W., Park, C.S., Kim, K.H., Choi, B.L., Park, S.H.. Development of OECD Healthcare Quality Indicators 2011 (No. FCI-2011-91). Seoul: Ministry of Health and Welfare; Health Insurance Review and Assessment Service, 2011. [Korean]
  10. Zhan, C., & Miller, M. R.. Excess length of stay, charges, and mortality attributable to medical injuries during hospitalization. JAMA : The Journal of the American Medical Association, 290(14), 1868-1874, 2003. DOI: http://dx.doi.org/10.1001/jama.290.14.1868
  11. Agency for Healthcare Research and Quality. Quality indicators-guide to patient safety indicators. version 3.1 (march 12, 2007). Rockville, MD: AHRQ, 2003.
  12. University of California, San Francisco-Stanford Evidence-Based Practice Center. Evidence report for Measures of patient safety based on hospital administrative Data-the patient safety indicators. Rockville, MD: Agency for Healthcare Research and Quality, 2002.
  13. Romano, P. S., Geppert, J. J., Davies, S., Miller, M. R., Elixhauser, A., & McDonald, K. M.. A national profile of patient safety in U.S. hospitals. Health Affairs (Project Hope), 22(2), 154-166, 2003. DOI: http://dx.doi.org/10.1377/hlthaff.22.2.154
  14. Drosler, S.. Facilitating cross-national comparisons of indicators for patient safety at the health-system level in the OECD countries. OECD Health Technical Paper No. 19, 2008. Available from http://www.oecd.org/dataoecd/24/48/40401929.pdf. (Accessed February, 1, 2013).
  15. Drosler, S. E., Klazinga, N. S., Romano, P. S., Tancredi, D. J., Gogorcena Aoiz, M. A., Hewitt, M. C., et al.. Application of patient safety indicators internationally: A pilot study among seven countries. International Journal for Quality in Health Care : Journal of the International Society for Quality in Health Care / ISQua, 21(4), 272-278, 2009. DOI: http://dx.doi.org./10.1093/intqhc/mzp018
  16. De Coster, C., Quan, H., Finlayson, A., Gao, M., Halfon, P., Humphries, K. H., et al.. Identifying priorities in methodological research using ICD-9-CM and ICD-10 administrative data: Report from an international consortium. BMC Health Services Research, 6, 77, 2006. DOI: http://dx.doi.org/10.1186/1472-6963-6-77
  17. Quan, H., Drosler, S., Sundararajan, V., Wen, E., Burnand, B., Couris, C. M., et al.. Adaptation of AHRQ patient safety indicators for use in ICD-10 administrative data by an international consortium. In K. Henriksen, J. B. Battles, M. A. Keyes & M. L. Grady (Eds.), Advances in patient safety: New directions and alternative approaches (vol. 1: Assessment). Rockville, MD, 2008.
  18. Agency for Healthcare Research and Quality. National healthcare quality report, 2011 (AHRQ Publication No. 12-0005). Rockwille, MD: AHRQ, 2012.
  19. Iezzoni, L. I.. Risk adjustment for measuring healthcare outcomes, third edition Health Administration Press/Ache, 2003.
  20. Elixhauser, A., Steiner, C., Harris, D. R., & Coffey, R. M.. Comorbidity measures for use with administrative data. Medical Care, 36(1), 8-27, 1998. DOI: http://dx.doi.org/10.1097/00005650-199801000-00004
  21. Kang, S,.H.. Analysis of LOS variance: The results of Korean National Hospital Discharge In-depth Injury Survey 2004-2006. Public Helath Weekly Report, 2, 857-866, 2009. [Korean]
  22. Rosenthal, M. B.. Nonpayment for performance? medicare's new reimbursement rule. N Engl J Med, 357(16), 1573-1575, 2007. DOI: http://dx.doi.org/10.1056/NEJMp078184
  23. Mark, D. H.. Race and the limits of administrative data. JAMA : The Journal of the American Medical Association, 285(3), 337-338, 2001. DOI: http://dx.doi.org/10.1001/jama.285.3.337
  24. Romano, P. S., Mull, H. J., Rivard, P. E., Zhao, S., Henderson, W. G., Loveland, S., et al.. Validity of selected AHRQ patient safety indicators based on VA national surgical quality improvement program data. Health Services Research, 44(1), 182-204, 2009. DOI: http://dx.doi.org/10.1111/j.1475-6773.2008.00905.x

Cited by

  1. The Analysis of Hospital Characteristics affecting Blood Transfusion to the patients under Knee or Hip Total Replacement Arthroplasty vol.16, pp.6, 2015, https://doi.org/10.5762/KAIS.2015.16.6.4031