Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/9837
Title: Prospective risk analysis of health care processes: A systematic evaluation of the use of HFMEA (TM) in Dutch health care
Authors: Habraken, M. M. P.
VAN DER SCHAAF, Tjerk 
Leistikow, I. P.
Reijnders-Thijssen, P. M. J.
Issue Date: 2009
Publisher: TAYLOR & FRANCIS LTD
Source: ERGONOMICS, 52(7). p. 809-819
Abstract: The aim of this study was to evaluate the use of Healthcare Failure Mode and Effect Analysis (HFMEA(TM)) in Dutch health care by means of user feedback. Thirteen HFMEA(TM) analyses of various health care processes were successfully concluded and on average took 69 person-hours (excluding reporting). These results show that HFMEA(TM) can successfully be applied in Dutch health care. However, the user feedback also uncovered several perceived drawbacks, such as the fact that HFMEA(TM) is very time-consuming and that, particularly, the risk assessment part of HFMEA(TM) is difficult to carry out. Moreover, a lack of guidance with regard to the identification of failure mode causes and effective actions might influence the quality of the outcomes of an HFMEA(TM) analysis. Several suggestions are put forward to improve the perceived utility and acceptance of HFMEA(TM). Nevertheless, future research is necessary to evaluate the actual effects of these recommendations. Error modelling and risk analysis, and their contribution to explaining human performance in socio-technical systems, traditionally belong to the field of ergonomics. The user feedback on HFMEA(TM) and the suggestions that are put forward may also be useful for (H)FMEA and hazard analysis and critical control point applications in sectors other than health care.
Notes: [Habraken, M. M. P.; Van der Schaaf, T. W.] Eindhoven Univ Technol, Dept Ind Engn & Innovat Sci, NL-5600 MB Eindhoven, Netherlands. [Van der Schaaf, T. W.] Hasselt Univ, Hasselt, Belgium. [Leistikow, I. P.] Univ Med Ctr Utrecht, Utrecht, Netherlands. [Reijnders-Thijssen, P. M. J.] MAASTRO Clin, Maastricht, Netherlands.
Keywords: patient safety; system failure modelling; risk assessment and management; human reliability; human error
Document URI: http://hdl.handle.net/1942/9837
ISSN: 0014-0139
e-ISSN: 1366-5847
DOI: 10.1080/00140130802578563
ISI #: 000267370800004
Category: A1
Type: Journal Contribution
Validations: ecoom 2010
Appears in Collections:Research publications

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