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Article
Coding Human Factors Observations in Surgery
American Journal of Medical Quality (2017)
  • Tara N. Cohen
  • Douglas A. Wiegmann
  • Scott T. Reeves
  • Albert J. Boquet
  • Scott Shappell, Embry-Riddle Aeronautical University
Abstract
The reliability of the Human Factors Analysis and Classification System (HFACS) for classifying retrospective observational human factors data in the cardiovascular operating room is examined. Three trained analysts independently used HFACS to categorize observational human factors data collected at a teaching and nonteaching hospital system. Results revealed that the framework was substantially reliable overall (Study I: k = 0.635; Study II: k = 0.642). Reliability increased when only preconditions for unsafe acts were investigated (Study I: k =0.660; Study II: k = 0.726). Preconditions for unsafe acts were the most commonly identified issues, with HFACS categories being similarly populated across both hospitals. HFACS is a reliable tool for systematically categorizing observational data of human factors issues in the operating room. Findings have implications for the development of a HFACS tool for proactively collecting observational human factors data, eliminating the necessity for classification post hoc.
Keywords
  • Human Factors Analysis and Classification System,
  • operating room management,
  • cardiovascular surgery,
  • patient safety
Publication Date
September 1, 2017
DOI
https://doi.org/10.1177/1062860616675230
Citation Information
Tara N. Cohen, Douglas A. Wiegmann, Scott T. Reeves, Albert J. Boquet, et al.. "Coding Human Factors Observations in Surgery" American Journal of Medical Quality Vol. 32 Iss. 5 (2017) p. 556 - 565 ISSN: 1062-8606
Available at: http://works.bepress.com/scott-shappell/4/