Document Detail


Assessing mortality rates from dubious data--when to stop doing statistics and start doing mathematics.
MedLine Citation:
PMID:  16134437     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
When trying to assess surgical outcomes at a particular centre, it is important to take account of case mix in terms of the types of operation performed. This is because those centres that undertake a disproportionately high number of complex operations might well be expected to have higher mortality rates than other centres whose case mix is more routine. From a statistical viewpoint, such case-mix adjustment is relatively straightforward if there are reliable risk estimates for different operation types. However this may not be the case and the risk estimates may have to be derived from several different sources which may not themselves be in agreement. Here, standard case-mix adjustment methods are no longer applicable and alternative analysis methods need to be used to make use of such unreliable risk estimates.
Authors:
Steve Gallivan
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Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't    
Journal Detail:
Title:  Health care management science     Volume:  8     ISSN:  1386-9620     ISO Abbreviation:  Health Care Manag Sci     Publication Date:  2005 Aug 
Date Detail:
Created Date:  2005-09-01     Completed Date:  2005-11-03     Revised Date:  2007-11-15    
Medline Journal Info:
Nlm Unique ID:  9815649     Medline TA:  Health Care Manag Sci     Country:  Netherlands    
Other Details:
Languages:  eng     Pagination:  237-41     Citation Subset:  IM    
Affiliation:
Clinical Operational Research Unit, University College London, UK. s.gallivan@ucl.ac.uk
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MeSH Terms
Descriptor/Qualifier:
Cardiac Surgical Procedures / mortality*
Child
Data Interpretation, Statistical
Databases as Topic
England / epidemiology
Hospital Mortality*
Humans
Medical Audit / methods,  statistics & numerical data*
Models, Statistical*
Risk Assessment / methods,  statistics & numerical data
Sensitivity and Specificity

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


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