OBJECTIVE: To explore the potential for international comparison of patient safety as part of the Health Care Quality Indicators project of the Organization for Economic Co-operation and Development (OECD) by evaluating patient safety indicators originally published by the US Agency for Healthcare Research and Quality (AHRQ). DESIGN: A retrospective cross-sectional study. SETTING: Acute care hospitals in the USA, UK, Sweden, Spain, Germany, Canada and Australia in 2004 and 2005/2006. DATA SOURCES: Routine hospitalization-related administrative data from seven countries were analyzed. Using algorithms adapted to the diagnosis and procedure coding systems in place in each country, authorities in each of the participating countries reported summaries of the distribution of hospital-level and overall (national) rates for each AHRQ Patient Safety Indicator to the OECD project secretariat. RESULTS: Each country's vector of national indicator rates and the vector of American patient safety indicators rates published by AHRQ (and re-estimated as part of this study) were highly correlated (0.821-0.966). However, there was substantial systematic variation in rates across countries. CONCLUSIONS: This pilot study reveals that AHRQ Patient Safety Indicators can be applied to international hospital data. However, the analyses suggest that certain indicators (e.g. 'birth trauma', 'complications of anesthesia') may be too unreliable for international comparisons. Data quality varies across countries; undercoding may be a systematic problem in some countries. Efforts at international harmonization of hospital discharge data sets as well as improved accuracy of documentation should facilitate future comparative analyses of routine databases.
OBJECTIVE: To explore the potential for international comparison of patient safety as part of the Health Care Quality Indicators project of the Organization for Economic Co-operation and Development (OECD) by evaluating patient safety indicators originally published by the US Agency for Healthcare Research and Quality (AHRQ). DESIGN: A retrospective cross-sectional study. SETTING: Acute care hospitals in the USA, UK, Sweden, Spain, Germany, Canada and Australia in 2004 and 2005/2006. DATA SOURCES: Routine hospitalization-related administrative data from seven countries were analyzed. Using algorithms adapted to the diagnosis and procedure coding systems in place in each country, authorities in each of the participating countries reported summaries of the distribution of hospital-level and overall (national) rates for each AHRQ Patient Safety Indicator to the OECD project secretariat. RESULTS: Each country's vector of national indicator rates and the vector of American patient safety indicators rates published by AHRQ (and re-estimated as part of this study) were highly correlated (0.821-0.966). However, there was substantial systematic variation in rates across countries. CONCLUSIONS: This pilot study reveals that AHRQ Patient Safety Indicators can be applied to international hospital data. However, the analyses suggest that certain indicators (e.g. 'birth trauma', 'complications of anesthesia') may be too unreliable for international comparisons. Data quality varies across countries; undercoding may be a systematic problem in some countries. Efforts at international harmonization of hospital discharge data sets as well as improved accuracy of documentation should facilitate future comparative analyses of routine databases.
Authors: A C Murray; S Markar; H Mackenzie; O Baser; T Wiggins; A Askari; G Hanna; O Faiz; E Mayer; C Bicknell; A Darzi; R P Kiran Journal: Surg Endosc Date: 2018-01-08 Impact factor: 4.584
Authors: Garth H Utter; Ginger L Cox; Oluseun O Atolagbe; Pamela L Owens; Patrick S Romano Journal: Health Serv Res Date: 2018-05-30 Impact factor: 3.402
Authors: Saskia E Drösler; Patrick S Romano; Vijaya Sundararajan; Bernard Burnand; Cyrille Colin; Harold Pincus; William Ghali Journal: Int J Qual Health Care Date: 2013-12-13 Impact factor: 2.038
Authors: Jean-Marie Januel; Jean-Christophe Luthi; Hude Quan; François Borst; Patrick Taffé; William A Ghali; Bernard Burnand Journal: BMC Health Serv Res Date: 2011-08-18 Impact factor: 2.655