Literature DB >> 11386623

Risk-adjusted monitoring of binary surgical outcomes.

S H Steiner1, R J Cook, V T Farewell.   

Abstract

A graphical procedure suitable for prospectively monitoring surgical performance is proposed. The approach is based on accumulating evidence from the outcomes of all previous surgical patients in a series using a new type of cumulative sum chart. Cumulative sum procedures are designed to "signal" if sufficient evidence has accumulated that the surgical failure rate has changed substantially. In this way, the chart rapidly detects deterioration (or improvement) in surgical performance while not overreacting to the expected fluctuations due to chance. Through the use of a likelihood-based scoring method, the cumulative sum procedure is adapted so that it adjusts for the surgical risk of each patient estimated preoperatively. The procedure is therefore applicable in situations where it is desirable to adjust for a mix of patients. Signals of the chart lead to investigations of the cause and to the timely introduction of remedial measures designed to avoid unnecessary future failures.

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Mesh:

Year:  2001        PMID: 11386623     DOI: 10.1177/0272989X0102100301

Source DB:  PubMed          Journal:  Med Decis Making        ISSN: 0272-989X            Impact factor:   2.583


  10 in total

1.  Effects of a major structural change to the intensive care unit on the quality and outcome after intensive care.

Authors:  H Flaatten
Journal:  Qual Saf Health Care       Date:  2005-08

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.  A weighted cumulative sum (WCUSUM) to monitor medical outcomes with dependent censoring.

Authors:  Rena Jie Sun; John D Kalbfleisch; Douglas E Schaubel
Journal:  Stat Med       Date:  2014-03-13       Impact factor: 2.373

Review 4.  Clinical performance measurement: part 1--getting the best out of it.

Authors:  Maria Goddard; Huw T O Davies; Diane Dawson; Russell Mannion; Fiona McInnes
Journal:  J R Soc Med       Date:  2002-10       Impact factor: 18.000

5.  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

Review 6.  Comparison of control charts for monitoring clinical performance using binary data.

Authors:  Jenny Neuburger; Kate Walker; Chris Sherlaw-Johnson; Jan van der Meulen; David A Cromwell
Journal:  BMJ Qual Saf       Date:  2017-09-25       Impact factor: 7.035

7.  Modeling the patient mix for risk-adjusted CUSUM charts.

Authors:  Philipp Wittenberg
Journal:  Stat Methods Med Res       Date:  2022-03-10       Impact factor: 2.494

8.  Outcomes of acute type A aortic dissection operations performed by early-career cardiovascular surgeons.

Authors:  Ting-Wei Lin; Meng-Ta Tsai; Hsuan-Yin Wu; Yi-Chen Wang; Yu-Ning Hu; Chung-Dann Kan; Jun-Neng Roan; Chwan-Yau Luo
Journal:  JTCVS Open       Date:  2021-03-18

9.  The CUSUM chart method as a tool for continuous monitoring of clinical outcomes using routinely collected data.

Authors:  Thabani Sibanda; Nokuthaba Sibanda
Journal:  BMC Med Res Methodol       Date:  2007-11-03       Impact factor: 4.615

10.  Risk-adjusted monitoring of surgical performance.

Authors:  Jianbo Li; Jiancheng Jiang; Xuejun Jiang; Lin Liu
Journal:  PLoS One       Date:  2018-08-08       Impact factor: 3.240

  10 in total

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