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The hands and head of a surgeon: Modeling operative competency with multimodal epistemic network analysis

Published:November 30, 2017DOI:https://doi.org/10.1016/j.amjsurg.2017.11.027

      Highlights

      • This study examined how intraoperative errors affect surgical outcomes.
      • Surgery residents performed the final steps of a simulated hernia repair.
      • Neither the number nor types of errors committed predicted outcomes.
      • Differences in error management did correlate significantly with outcomes.

      Abstract

      Background

      This paper explores a method for assessing intraoperative performance by modeling how surgeons integrate psychomotor, procedural, and cognitive skills to manage errors.

      Methods

      Audio-video data were collected from general surgery residents (N = 45) performing a simulated laparoscopic ventral hernia repair. Errors were identified using a standard checklist, and speech was coded for elements related to error recognition and management. Epistemic network analysis (ENA) was used to model the integration of error management skills.

      Results

      There was no correlation between number or type of errors committed and operative outcome. However, ENA models showed significant differences in the integration of error management skills between high-performing and low-performing residents.

      Conclusion

      These results suggest that error checklists and surgeons' speech can be used to model the integration of psychomotor, procedural, and cognitive aspects of intraoperative performance. Moreover, ENA can identify and quantify this integration, providing insight on performance gaps in both individuals and populations.
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