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Coding Human Factors Observations in Surgery.

Tara N Cohen1, Douglas A Wiegmann2, Scott T Reeves3

  • 11 Embry-Riddle Aeronautical University, Daytona Beach, FL.

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|October 28, 2016
PubMed
Summary
This summary is machine-generated.

The Human Factors Analysis and Classification System (HFACS) reliably categorizes operating room human factors data. This tool supports proactive data collection, improving patient safety in cardiovascular settings.

Keywords:
CVORHFACSerror analysishuman errorlatent failures

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Area of Science:

  • Human Factors and Ergonomics
  • Healthcare Quality and Safety
  • Medical Operations Research

Background:

  • Human factors are critical in operating room safety.
  • Systematic classification of human factors issues is needed.
  • The Human Factors Analysis and Classification System (HFACS) is a potential tool.

Purpose of the Study:

  • To assess the reliability of the Human Factors Analysis and Classification System (HFACS) for classifying retrospective observational human factors data.
  • To evaluate HFACS reliability in the cardiovascular operating room setting.
  • To determine if reliability varies when focusing on specific HFACS components.

Main Methods:

  • Three independent analysts applied HFACS to observational human factors data.
  • Data were collected from both teaching and non-teaching hospital systems.
  • Inter-rater reliability was calculated using Cohen's kappa (k).

Main Results:

  • HFACS demonstrated substantial overall reliability (k = 0.635–0.642).
  • Reliability was higher when focusing on preconditions for unsafe acts (k = 0.660–0.726).
  • Preconditions for unsafe acts were the most frequent issues identified.

Conclusions:

  • HFACS is a reliable system for categorizing observational human factors data in the operating room.
  • Findings support the use of HFACS for improving operating room safety.
  • Results suggest potential for developing a proactive HFACS data collection tool.