Background: Assessment of trainees' competency is challenging; the predictive power of traditional evaluations is debatable especially in regard to noncognitive traits. New assessments need to be sought to better understand affective areas like personality. Grit, defined as "perseverance and passion for long-term goals," can assess aspects of personality. Grit predicts educational attainment and burnout rates in other populations and is accurate with an informant report version. Self-assessments, while useful, have inherent limitations. Faculty's ability to accurately assess trainees' grit could prove helpful in identifying learner needs and avenues for further development.

Objective: This study sought to determine the correlation between EM resident self-assessed and faculty-assessed Grit Scale (Grit-S) scores of that same resident.

Methods: Subjects were PGY-1 to -4 EM residents and resident-selected faculty as part of a larger multicenter trial involving 10 EM residencies during 2017. The Grit-S Scale was administered to participating EM residents; an informant version was completed by their self-selected faculty. Correlation coefficients were computed to assess the relationship between residents' self-assessed and the residents' faculty-assessed Grit-S score.

Results: A total of 281 of 303 residents completed the Grit-S, for a 93% response rate; 200 of 281 residents had at least one faculty-assessed Grit-S score. No correlation was found between residents' self-assessed and faculty-assessed Grit-S scores. There was a correlation between the two faculty-assessed Grit-S scores for the same resident.

Conclusion: There was no correlation between resident and faculty-assessed Grit-S scores; additionally, faculty-assessed Grit-S scores of residents were higher. This corroborates the challenges faculty face at accurately assessing aspects of residents they supervise. While faculty and resident Grit-S scores did not show significant concordance, grit may still be a useful predictive personality trait that could help shape future training.

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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6339547PMC
http://dx.doi.org/10.1002/aet2.10309DOI Listing

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