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Failure mode and effects analysis: too little for too much?
Bryony Dean Franklin1, Nada Atef Shebl, Nick Barber
1Director, Centre for Medication Safety and Service Quality, UCL School of Pharmacy and Imperial College Healthcare NHS Trust, Pharmacy Department, Charing Cross Hospital, London, UK. bryony.deanfranklin@imperial.nhs.uk
Abstract:
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.
Insights
Failure Mode and Effects Analysis (FMEA) is a popular healthcare risk assessment tool. However, current evidence shows FMEA lacks reliability and validity for prioritizing patient safety interventions.
Area of Science:
- Healthcare Risk Management
- Patient Safety
- Quality Improvement
Background:
- Failure Mode and Effects Analysis (FMEA) is a widely adopted prospective risk assessment method in healthcare.
- FMEA utilizes multidisciplinary teams to identify potential process failures, their likelihood, severity, and detectability.
- The goal is to calculate a Risk Priority Number (RPN) to guide interventions.
Purpose of the Study:
- To evaluate the evidence base for the reliability and validity of FMEA outputs in healthcare.
- To examine the mathematical principles underlying FMEA's Risk Priority Number (RPN) calculation.
- To assess the practical application and time investment of FMEA in clinical settings.
Main Methods:
- Systematic review of existing literature on FMEA in healthcare.
- Analysis of the methodologies and reported outcomes of FMEA studies.
- Critical appraisal of the quantitative aspects and practical utility of FMEA.
Main Results:
- Despite widespread use, there is limited empirical evidence supporting FMEA's reliability and validity for quantitative risk prioritization.
- The mathematical basis for RPN calculation is questionable, and its application varies significantly in practice.
- FMEA is resource-intensive, requiring substantial healthcare professional time.
Conclusions:
- FMEA is not recommended as a quantitative tool for prioritizing patient safety interventions due to lack of evidence.
- The process mapping and multidisciplinary team engagement stages of FMEA are valuable.
- Further research is needed to develop effective methods for translating FMEA's process mapping into actionable patient safety plans.
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