Journal of Hospital Infection
Volume 76, Issue 2 , Pages 114-118 , October 2010

Sequential analysis of uncommon adverse outcomes

  • A. Morton

      Affiliations

    • Infection Management Services, Princess Alexandra Hospital, Brisbane, Queensland, Australia
    • School of Mathematical Sciences, Queensland University of Technology, Brisbane, Queensland, Australia
    • Corresponding Author InformationCorresponding author. Address: 40 Garioch St, Tarragindi 4121, Australia. Tel.: +61 7 33974651; fax: +61 7 38473480.
    • ,
  • K. Mengersen

      Affiliations

    • School of Mathematical Sciences, Queensland University of Technology, Brisbane, Queensland, Australia
    • ,
  • M. Waterhouse

      Affiliations

    • School of Mathematical Sciences, Queensland University of Technology, Brisbane, Queensland, Australia
    • St Andrew’s Medical Institute, Brisbane, Queensland, Australia
    • ,
  • S. Steiner

      Affiliations

    • Department of Statistics and Actuarial Science, University of Waterloo, Waterloo, Ontario, Canada
    • ,
  • D. Looke

      Affiliations

    • Infection Management Services, Princess Alexandra Hospital, Brisbane, Queensland, Australia

Received 24 November 2009 ,Accepted 30 April 2010.

References 

  1. Winkel P, Zhang N. Statistical development of quality in medicine. Chichester: Wiley; 2007;
  2. Deming W. Out of the crisis. Cambridge: Cambridge University Press; 1982;p. 327
  3. Morton A, Clements A, Doidge S, Stackelroth J, Curtis M, Whitby M. Surveillance of healthcare-acquired infections in Queensland, Australia: data and lessons from the first 5 years. Infect Control Hosp Epidemiol. 2008;29:695–701
  4. Culver D, Horan T, Gaynes R, et al. Surgical wound infection rates by wound class, operative procedure, and patient risk index. Am J Med. 1991;91(Suppl. 3B):S152–S157
  5. R Development Core Team . R: a language and environment for statistical computing. Vienna: R Foundation for Statistical Computing; 2009;
  6. Tong E, Clements A, Haynes M, Jones M, Morton A, Whitby M. Improved hospital level risk adjustment for surveillance of healthcare-associated bloodstream infections: a retrospective cohort study. BMC Infect Dis. 2009;9:145
  7. Lovegrove J, Valencia O, Treasure T, Sherlaw-Johnson C, Gallivan S. Monitoring the results of cardiac surgery by variable life-adjusted display. Lancet. 1997;350:1128–1130
  8. Grunkemeier G, Jin R, Wu Y. Cumulative sum curves and their prediction limits. Ann Thorac Surg. 2009;87:361–364
  9. Hart M, Hart R, Schmaltz S. Control limits for p control charts with small subgroup sizes. Qual Manag Health Care. 2007;16:123–129
  10. Sherlaw-Johnson C. A method for detecting runs of good and bad clinical outcomes on variable life-adjusted display charts. Health Care Manag Sci. 2005;8:61–65
  11. Ng J, Morlet N, Brenner A, et al. Techniques to monitor endophthalmitis and other cataract surgery complications. Ophthalmology. 2008;115:3–10
  12. Steiner S, Cook R, Farewell V, Treasure T. Monitoring surgical performance using risk-adjusted cumulative sum charts. Biostatistics. 2000;1:441–452
  13. Spiegelhalter D, Grigg O, Kinsman R, Treasure T. Risk-adjusted sequential probability ratio tests: applications to Bristol, Shipman and adult cardiac surgery. Int J Qual Health Care. 2003;15:7–13
  14. Kunadian B, Dunning J, Roberts A, et al. Cumulative funnel plots for the early detection of interoperator variation: retrospective database analysis of observed versus predicted results of percutaneous coronary intervention. BMJ. 2008;336:931–934
  15. Webster R. Development of statistical methods for the surveillance and monitoring of adverse events which adjust for differing patient and surgical risks. PhD thesis, Queensland University of Technology; 2008.
  16. Sego L, Woodall W, Reynolds M. A comparison of surveillance methods for small incidence rates. Stat Med. 2008;27:1225–1247
  17. Alemi F. Probabilistic risk analysis is practical. Qual Manag Health Care. 2007;16:300–310
  18. Singer A. Mandatory regular meetings of hospital staff would complement medical audit and revalidation. BMJ. 2000;320:1072
  19. Thompson A, Stonebridge P. Building a framework for trust: critical event analysis of deaths in surgical care. BMJ. 2005;330:1139–1142
  20. Whitby M, McLaws M-L, Collopy B, et al. Post-discharge surveillance: can patients reliably diagnose surgical wound infections?. J Hosp Infect. 2002;52:155–160
  21. Anderson D, Chen L, Sexton D, Kaye K. Complex surgical site infections and the devilish details of risk adjustment: important implications for public reporting. Infect Control Hosp Epidemiol. 2008;29:941–946
  22. Mohammed M, Rathbone A, Myers P, et al. An investigation into general practitioners associated with high patient mortality flagged up through the Shipman inquiry: retrospective analysis of routine data. BMJ. 2004;328:1474–1477
  23. Berwick D, Calkins D, McCannon C, Hackbarth A. The 100 000 lives campaign: setting a goal and a deadline for improving health care quality. JAMA. 2006;295:324–327
  24. Gawande A. The checklist manifesto. London: Profile Books; 2010;

PII: S0195-6701(10)00229-X

doi: 10.1016/j.jhin.2010.04.022

Journal of Hospital Infection
Volume 76, Issue 2 , Pages 114-118 , October 2010

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