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Review Article |

Integrating Human Factors Research and Surgery:  A Review

Daniel Shouhed, MD; Bruce Gewertz, MD; Doug Wiegmann, PhD; Ken Catchpole, PhD
Arch Surg. 2012;147(12):1141-1146. doi:10.1001/jamasurg.2013.596.
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Objective  To provide a review of human factors research within the context of surgery.

Data Sources  We searched PubMed for relevant studies published from the earliest available date through February 29, 2012.

Study Selection  The search was performed using the following keywords: human factors, surgery, errors, teamwork, communication, stress, disruptions, interventions, checklists, briefings, and training. Additional articles were identified by a manual search of the references from the key articles. As 2 human factors specialists, a senior clinician, and a junior clinician, we carefully selected the most appropriate exemplars of research findings with specific relevance to surgical error and safety.

Data Extraction  Seventy-seven articles of relevance were selected and reviewed in detail. Opinion pieces and editorials were disregarded; the focus was solely on articles based on empirical evidence, with a particular emphasis on prospectively designed studies.

Data Synthesis  The themes that emerged related to the development of human factors theories, the application of those theories within surgery, a specific interest in the concept of flow, and the theoretical basis and value of human-related interventions for improving safety and flow in surgery.

Conclusions  Despite increased awareness of safety, errors routinely continue to occur in surgical care. Disruptions in the flow of an operation, such as teamwork and communication failures, contribute significantly to such adverse events. While it is apparent that some incidence of human error is unavoidable, there is much evidence in medicine and other fields that systems can be better designed to prevent or detect errors before a patient is harmed. The complexity of factors leading to surgical errors requires collaborations between surgeons and human factors experts to carry out the proper prospective and observational studies. Only when we are guided by this valid and real-world data can useful interventions be identified and implemented.

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Figures

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Grahic Jump Location

Figure 1. Swiss cheese model of accident causation. Adapted with permission from Ashgate Publishing Ltd.17

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Grahic Jump Location

Figure 2. The Systems Engineering Initiative for Patient Safety model. Adapted with permission from BMJ Publishing Group.21

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Country-Specific Mortality and Growth Failure in Infancy and Yound Children and Association With Material Stature

Use interactive graphics and maps to view and sort country-specific infant and early dhildhood mortality and growth failure data and their association with maternal

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