Published January 2018 | Version v1
Journal article

Expanding healthcare failure mode and effect analysis: A composite proactive risk analysis approach

  • 1. Department of Electrical Engineering and Information Technology, University of Naples Federico II and Fondazione Santobono Pausilipon, Naples (Italy)
  • 2. Department of Surgery & Cancer, NIHR Imperial Patient Safety Translational Research Centre, Imperial College London, London (United Kingdom)
  • 3. Centre for Medication Safety and Service Quality, Pharmacy Department, Imperial College Healthcare NHS Trust and UCL School of Pharmacy, London (United Kingdom)
  • 4. Faculty of Medicine, Department of Surgery & Cancer, Imperial College London, London (United Kingdom)
  • 5. Transportation Research Group, Faculty of Engineering and the Environment, University of Southampton, Southampton (United Kingdom)
  • 6. Centre for Implementation Science, King's College London, London (United Kingdom)

Description

Highlights: • Healthcare Failure Mode and Effect Analysis (HFMEA) methodology's limitations. • Systems-Theoretic Accident Model and Processes – Systems-Theoretic Process Analysis (STAMP-STPA). • Systematic Human Error Reduction and Prediction Approach (SHERPA). • Combination of different prospective safety management techniques. • Analysis of medication administration process in home setting. Healthcare Failure Mode and Effect Analysis (HFMEA) is a systematic risk assessment method derived from high risk industries to prospectively examine complex healthcare processes. Like most methods, HFMEA has strengths and weaknesses. In this paper we provide a review of HFMEA's limitations and we introduce an expanded version of traditional HFMEA, with the addition of two safety management techniques: Systematic Human Error Reduction and Prediction Analysis (SHERPA) and Systems-Theoretic Accident Model and Processes – Systems-Theoretic Process Analysis (STAMP-STPA). The combination of the three methodologies addresses significant HFMEA limitations. To test the viability of the proposed hybrid technique, we applied it to assess the potential failures in the process of administration of medication in the home setting. Our findings suggest that it is both a viable and effective tool to supplement the analysis of failures and their causes. We also found that the hybrid technique was effective in identifying corrective actions to address human errors and detecting failures of the constraints necessary to maintain safety.

Availability note (English)

Available from http://dx.doi.org/10.1016/j.ress.2017.08.003

Additional details

Identifiers

DOI
10.1016/j.ress.2017.08.003;
PII
S095183201630744X;

Publishing Information

Journal Title
Reliability Engineering and System Safety
Journal Volume
169
Journal Page Range
p. 117-126
ISSN
0951-8320
CODEN
RESSEP

INIS

Country of Publication
United Kingdom
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
52112338
Subject category
S42: ENGINEERING;
Descriptors DEI
ACCIDENTS; ERRORS; FAILURES; FORECASTING; HAZARDS; MANAGEMENT; RISK ASSESSMENT; SAFETY

Optional Information

Copyright
Copyright (c) 2017 Published by Elsevier Ltd.