Document Detail


Failure mode and effects analysis: too little for too much?
MedLine Citation:
PMID:  22447819     Owner:  NLM     Status:  Publisher    
Abstract/OtherAbstract:
Failure mode and effects analysis (FMEA) is a structured prospective risk assessment method that is widely used within healthcare. FMEA involves a multidisciplinary team mapping out a high-risk process of care, identifying the failures that can occur, and then characterising each of these in terms of probability of occurrence, severity of effects and detectability, to give a risk priority number used to identify failures most in need of attention. One might assume that such a widely used tool would have an established evidence base. This paper considers whether or not this is the case, examining the evidence for the reliability and validity of its outputs, the mathematical principles behind the calculation of a risk prioirty number, and variation in how it is used in practice. We also consider the likely advantages of this approach, together with the disadvantages in terms of the healthcare professionals' time involved. We conclude that although FMEA is popular and many published studies have reported its use within healthcare, there is little evidence to support its use for the quantitative prioritisation of process failures. It lacks both reliability and validity, and is very time consuming. We would not recommend its use as a quantitative technique to prioritise, promote or study patient safety interventions. However, the stage of FMEA involving multidisciplinary mapping process seems valuable and work is now needed to identify the best way of converting this into plans for action.
Authors:
Bryony Dean Franklin; Nada Atef Shebl; Nick Barber
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Publication Detail:
Type:  JOURNAL ARTICLE     Date:  2012-3-23
Journal Detail:
Title:  BMJ quality & safety     Volume:  -     ISSN:  2044-5423     ISO Abbreviation:  -     Publication Date:  2012 Mar 
Date Detail:
Created Date:  2012-3-26     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  101546984     Medline TA:  BMJ Qual Saf     Country:  -    
Other Details:
Languages:  ENG     Pagination:  -     Citation Subset:  -    
Affiliation:
Centre for Medication Safety and Service Quality, UCL School of Pharmacy and Imperial College Healthcare NHS Trust, London, UK.
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