Document Detail


Control charts, Cusum techniques and funnel plots. A review of methods for monitoring performance in healthcare.
MedLine Citation:
PMID:  19509097     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
Quality control in medicine is generating more and more interest. Industrial concepts of quality control have been refined and transformed to be useful in healthcare monitoring. Whereas medical practitioners first reaction to this new concept of quality control was negative 'we're treating patients, we're not a part of an industrial process', some dramatic cases of inferior medical performance urged the need to adequately monitor healthcare outcomes. To date, several methods have been described, and more and more reports deal with the subject. Most of us, however, are overwhelmed by the new and different tools in use such as Shewhart control charts, cumulative sum charts and funnel plots. This paper will review the methodology of statistical process control and its application in medical practice.
Authors:
Luc Noyez
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Publication Detail:
Type:  Journal Article; Review     Date:  2009-06-09
Journal Detail:
Title:  Interactive cardiovascular and thoracic surgery     Volume:  9     ISSN:  1569-9285     ISO Abbreviation:  Interact Cardiovasc Thorac Surg     Publication Date:  2009 Sep 
Date Detail:
Created Date:  2009-08-18     Completed Date:  2009-10-26     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  101158399     Medline TA:  Interact Cardiovasc Thorac Surg     Country:  England    
Other Details:
Languages:  eng     Pagination:  494-9     Citation Subset:  IM    
Affiliation:
Department of Cardio-Thoracic Surgery - 677, Heart Center, Radboud University Nijmegen, 6500 HB Nijmegen, The Netherlands. l.noyez@thorax.umcn.nl
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MeSH Terms
Descriptor/Qualifier:
Cardiac Surgical Procedures / adverse effects,  mortality*
Clinical Competence / statistics & numerical data
Data Interpretation, Statistical*
Hospital Mortality
Hospital Records / statistics & numerical data*
Humans
Models, Statistical*
Odds Ratio
Outcome and Process Assessment (Health Care) / statistics & numerical data*
Quality Control*
Quality Indicators, Health Care / statistics & numerical data*
Risk Assessment
Treatment Outcome

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


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