Article
Proactive Safety Management in Trauma Care: Applying the Human Factors Analysis and Classification System
Journal for Healthcare Quality
(2018)
Abstract
Introduction: This article examines the reliability of the Human Factors Analysis and Classification System (HFACS) for classifying observational human factors data collected prospectively in a trauma resuscitation center.
Methods: Three trained human factors analysts individually categorized 1,137 workflow disruptions identified in a previously collected data set involving 65 observed trauma care cases using the HFACS framework.
Results: Results revealed that the framework was substantially reliable overall ([kappa] = 0.680); agreement increased when only the preconditions for unsafe acts were investigated ([kappa] = 0.757). Findings of the analysis also revealed that the preconditions for unsafe acts category was most highly populated (91.95%), consisting mainly of failures involving communication, coordination, and planning.
Conclusion: This study helps validate the use of HFACS as a tool for classifying observational data in a variety of medical domains. By identifying preconditions for unsafe acts, health care professionals may be able to construct a more robust safety management system that may provide a better understanding of the types of threats that can impact patient safety.
Keywords
- trauma care,
- workflow disruptions,
- safety management,
- Human Factors Analysis and Classification System
Disciplines
Publication Date
March, 2018
DOI
https://doi.org/10.1097/JHQ.0000000000000094
Citation Information
Tara N. Cohen, Jennifer S. Cabrera, Tracy L. Litzinger, Kevin A. Captain, et al.. "Proactive Safety Management in Trauma Care: Applying the Human Factors Analysis and Classification System" Journal for Healthcare Quality Vol. 40 Iss. 2 (2018) p. 89 - 96 ISSN: 1945-1474 Available at: http://works.bepress.com/scott-shappell/1/