Document Detail


Cumulative funnel plots for the early detection of interoperator variation: retrospective database analysis of observed versus predicted results of percutaneous coronary intervention.
MedLine Citation:
PMID:  18367500     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
OBJECTIVE: To use funnel plots and cumulative funnel plots to compare in-hospital outcome data for operators undertaking percutaneous coronary interventions with predicted results derived from a validated risk score to allow for early detection of variation in performance.
DESIGN: Analysis of prospectively collected data.
SETTING: Tertiary centre NHS hospital in the north east of England.
PARTICIPANTS: Five cardiologists carrying out percutaneous coronary interventions between January 2003 and December 2006.
MAIN OUTCOME MEASURES: In-hospital major adverse cardiovascular and cerebrovascular events (in-hospital death, Q wave myocardial infarction, emergency coronary artery bypass graft surgery, and cerebrovascular accident) analysed against the logistic north west quality improvement programme predicted risk, for each operator. Results are displayed as funnel plots summarising overall performance for each operator and cumulative funnel plots for an individual operator's performance on a case series basis.
RESULTS: The funnel plots for 5198 patients undergoing percutaneous coronary interventions showed an average observed rate for major adverse cardiovascular and cerebrovascular events of 1.96% overall. This was below the predicted risk of 2.06% by the logistic north west quality improvement programme risk score. Rates of in-hospital major adverse cardiovascular and cerebrovascular events for all operators were within the 3sigma upper control limit of 2.75% and 2sigma upper warning limit of 2.49%.
CONCLUSION: The overall in-hospital major adverse cardiovascular and cerebrovascular events rates were under the predicted event rate. In-hospital rates after percutaneous coronary intervention procedure can be monitored successfully using funnel and cumulative funnel plots with 3sigma control limits to display and publish each operator's outcomes. The upper warning limit (2sigma control limit) could be used for internal monitoring. The main advantage of these charts is their transparency, as they show observed and predicted events separately. By this approach individual operators can monitor their own performance, using the predicted risk for their patients but in a way that is compatible with benchmarking to colleagues, encapsulated by the funnel plot. This methodology is applicable regardless of variations in individual operator case volume and case mix.
Authors:
Babu Kunadian; Joel Dunning; Anthony P Roberts; Robert Morley; Darragh Twomey; James A Hall; Andrew G C Sutton; Robert A Wright; Douglas F Muir; Mark A de Belder
Publication Detail:
Type:  Journal Article     Date:  2008-03-26
Journal Detail:
Title:  BMJ (Clinical research ed.)     Volume:  336     ISSN:  1756-1833     ISO Abbreviation:  BMJ     Publication Date:  2008 Apr 
Date Detail:
Created Date:  2008-04-25     Completed Date:  2008-05-19     Revised Date:  2013-06-05    
Medline Journal Info:
Nlm Unique ID:  8900488     Medline TA:  BMJ     Country:  England    
Other Details:
Languages:  eng     Pagination:  931-4     Citation Subset:  AIM; IM    
Affiliation:
Department of Cardiology, James Cook University Hospital, Middlesbrough TS4 3BW.
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MeSH Terms
Descriptor/Qualifier:
Angioplasty, Balloon, Coronary / standards*,  statistics & numerical data
Cardiology / standards*,  statistics & numerical data
Cardiovascular Diseases / etiology
Cerebrovascular Disorders / etiology
Clinical Competence / standards*
Humans
Postoperative Complications / etiology
Prospective Studies
Risk Factors
Comments/Corrections
Comment In:
BMJ. 2008 Apr 26;336(7650):900-1   [PMID:  18426842 ]

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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