Literature DB >> 15823639

Real-time monitoring of coronary care mortality: a comparison and combination of two monitoring tools.

Chris Sherlaw-Johnson1, Anthony Morton, Michael B Robinson, Alistair Hall.   

Abstract

BACKGROUND: Quality control in clinical care is becoming increasingly more prevalent, resulting in a need for tools that can be readily used by clinical teams for monitoring their own performance. The aim of this study was to devise a practical and effective scheme for monitoring coronary care mortality in real-time.
METHODS: We obtained data for 2153 consecutive patients admitted after acute myocardial infarction between 1st September and 30th November 1995 to one of 20 acute hospitals in West Yorkshire participating in the NHS R and D funded EMMACE-1 study. We developed control charts for each centre to monitor 30-day mortality. These control charts used two complementary tools: the Risk-Adjusted Cumulative Sum chart (CUSUM) and a new 'Rocket Tail' chart based upon the Variable Life-Adjusted Display (VLAD). We also combined information from each of these to devise a further chart.
RESULTS: Control charts are shown for two centres in order to illustrate the important features of the different but complimentary monitoring tools. The Risk-Adjusted CUSUM is shown to be useful for detecting isolated runs of unsatisfactory outcome results but is not 'intuitive', and does not give any indication of the preceding history of outcomes. The Rocket Tail chart is shown to give a good summary of outcome history and also how overall performance compares with what would be expected for the case-mix. A chart that combines both approaches appeals to the advantages of each.
CONCLUSIONS: We propose a visual approach to health-care monitoring that beneficially combines and extends the different information of the previously used CUSUM and VLAD charts.

Entities:  

Mesh:

Year:  2005        PMID: 15823639     DOI: 10.1016/j.ijcard.2004.12.009

Source DB:  PubMed          Journal:  Int J Cardiol        ISSN: 0167-5273            Impact factor:   4.164


  6 in total

1.  Monitoring mortality trends in low-resource settings.

Authors:  Christina Pagel; Audrey Prost; Nirmala Nair; Prasanta Tripathy; Anthony Costello; Martin Utley
Journal:  Bull World Health Organ       Date:  2012-02-06       Impact factor: 9.408

Review 2.  Quality control of surgical and interventional procedures: a review of the CUSUM.

Authors:  David J Biau; Mathieu Resche-Rigon; Gaëlle Godiris-Petit; Rémy S Nizard; Raphaël Porcher
Journal:  Qual Saf Health Care       Date:  2007-06

3.  Process monitoring in intensive care with the use of cumulative expected minus observed mortality and risk-adjusted P charts.

Authors:  Jerome G L Cockings; David A Cook; Rehana K Iqbal
Journal:  Crit Care       Date:  2006-02       Impact factor: 9.097

4.  Application of Variable Life Adjusted Displays (VLAD) on Victorian Admitted Episodes Dataset (VAED).

Authors:  Nick Andrianopoulos; Damien Jolley; Sue M Evans; Caroline A Brand; Peter A Cameron
Journal:  BMC Health Serv Res       Date:  2012-08-28       Impact factor: 2.655

5.  Debate: should we use variable adjusted life displays (VLAD) to identify variations in performance in general surgery?

Authors:  Stephen O Neill; Stephen J Wigmore; Ewen M Harrison
Journal:  BMC Surg       Date:  2015-08-28       Impact factor: 2.102

6.  Real time monitoring of risk-adjusted paediatric cardiac surgery outcomes using variable life-adjusted display: implementation in three UK centres.

Authors:  Christina Pagel; Martin Utley; Sonya Crowe; Thomas Witter; David Anderson; Ray Samson; Andrew McLean; Victoria Banks; Victor Tsang; Katherine Brown
Journal:  Heart       Date:  2013-04-05       Impact factor: 5.994

  6 in total

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