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Emotional Intelligence Predicts Accurate Self-Assessment of Surgical Quality: A Pilot Study. | LitMetric

Emotional Intelligence Predicts Accurate Self-Assessment of Surgical Quality: A Pilot Study.

J Surg Res

Department of Gynaecological Oncology, Maidstone and Tunbridge Wells NHS Trust, Maidstone, Kent, United Kingdom.

Published: January 2020

AI Article Synopsis

  • Self-assessment is important for training surgeons, and older and more experienced trainees do it better, especially when they can watch videos of their performance.
  • This study looked at whether skills like emotional intelligence and visual-spatial ability could help beginner surgeons judge their own performance when performing a simulated surgery called laparoscopic appendectomy.
  • The results showed that those with higher emotional intelligence were better at accurately evaluating their own work compared to expert judges, which could help identify who might need extra support in learning.

Article Abstract

Background: Self-assessment is fundamental in surgical training. Accuracy of self-assessment is superior with greater age, experience, and the use of video playback. Presently, there is scarce evidence in the literature regarding predictors for a surgical trainee's aptitude for self-assessment. The objective of this study was to investigate whether emotional intelligence or visual-spatial aptitude can predict effective self-assessment among novice surgeons performing laparoscopic appendectomy (LA).

Materials And Methods: Eighteen novice trainees performed a simulated LA, and two aptitude measures were evaluated: (1) emotional intelligence questionnaire and (2) visual spatial ability test. Self-assessment of their performance was conducted using the Objective Assessment of Surgical and Technical Skills global rating scale and ranking five subtasks of the procedure in order of quality of performance after watching a playback of their LA. Two blinded experts (senior consultant surgeons, performed >100 LAs) assessed surgical quality using the same scoring system. Candidates were ranked into higher and lower aptitude groups for the two aptitude measures. Spearman's rank correlation coefficient was calculated to identify if either of the two groups demonstrated greater agreement between self and expert assessment in relation to the two aptitude measures.

Results: Participants with a higher degree of emotional intelligence demonstrated significant agreement with expert assessment (r = 0.73, P = 0.031).

Conclusions: Emotional intelligence can predict better self-assessment of surgical quality after performing a simulated LA. This may facilitate early identification of individuals who might require mentoring or guidance with self-assessment as well as contribute to selection criteria.

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Source
http://dx.doi.org/10.1016/j.jss.2019.07.051DOI Listing

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