Document Detail


Learning from litigation. The role of claims analysis in patient safety.
MedLine Citation:
PMID:  17100865     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
Claims for malpractice and medical negligence are a potentially important source of information on the causes of harm to patients and have provided valuable lessons in the past. However today, with many additional sources of information and methods of analysis, the role of claims analysis needs to be reappraised. We consider the role of claims analysis in relation to other methods of studying adverse outcomes, review previous studies of claims and summarize the findings of four recent British specialty claims reviews. Claims analysis has a number of inherent limitations. We suggest that there is now no case for ad hoc claims reviews which rely on data that have been assembled for legal purposes only. Claims review is still potentially useful for rare events or in cases where other sources of data are not available. However, future claims reviews need to meet basic criteria before being undertaken; these include prospective identification of the relevant questions and variables, adequacy and completeness of the data set, availability of expert reviewers and clear protocols for review.
Authors:
Charles Vincent; Caroline Davy; Aneez Esmail; Graham Neale; Max Elstein; Jenny Firth Cozens; Kieran Walshe
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Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  Journal of evaluation in clinical practice     Volume:  12     ISSN:  1356-1294     ISO Abbreviation:  J Eval Clin Pract     Publication Date:  2006 Dec 
Date Detail:
Created Date:  2006-11-14     Completed Date:  2007-02-08     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  9609066     Medline TA:  J Eval Clin Pract     Country:  England    
Other Details:
Languages:  eng     Pagination:  665-74     Citation Subset:  IM    
Affiliation:
Smith & Nephew Foundation, Department of Surgical Oncology & Technology, Clinical Safety Research Unit, Imperial College London, London, UK. c.vincent@imperial.ac.uk
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MeSH Terms
Descriptor/Qualifier:
Great Britain
Health Services Research
Humans
Insurance Claim Review*
Malpractice / statistics & numerical data*
Medical Errors / statistics & numerical data*
Medical Records
Peer Review, Health Care
Process Assessment (Health Care)
Quality of Health Care

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


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