Literature DB >> 22608671

Are residents accurate in their assessments of their own surgical skills?

Catherine de Blacam1, Dara A O'Keeffe, Emmeline Nugent, Eva Doherty, Oscar Traynor.   

Abstract

BACKGROUND: An appropriate level of awareness of one's own technical skill is essential to being an effective self-directed learner. The aim of this study was to analyze surgical residents' self-awareness by examining their ability to predict and assess their own performance in an objective surgical skills examination.
METHODS: Surgical residents' (n = 216) pre-examination self-predicted scores and post-examination self-assessed scores were compared with objectively measured scores. Accuracy of score prediction and self-assessment were compared with resident demographics (age, gender, year of training, and nationality).
RESULTS: Post-examination self-assessed scores correlated with objectively assessed scores (r = .34; P < .001). Higher year of training, older age, and non-European nationality were predictive of accuracy in self-prediction and self-assessment.
CONCLUSIONS: Demographic variables that predict more accurate self-awareness of technical skill have been identified. Surgical training programs may use these data to anticipate the trainees who need assistance in developing better self-awareness.
Copyright © 2012 Elsevier Inc. All rights reserved.

Mesh:

Year:  2012        PMID: 22608671     DOI: 10.1016/j.amjsurg.2012.03.003

Source DB:  PubMed          Journal:  Am J Surg        ISSN: 0002-9610            Impact factor:   2.565


  3 in total

Review 1.  Are general surgeons able to accurately self-assess their level of technical skills?

Authors:  C Rizan; J Ansell; T W Tilston; N Warren; J Torkington
Journal:  Ann R Coll Surg Engl       Date:  2015-10-01       Impact factor: 1.891

2.  Extended score interval in the assessment of basic surgical skills.

Authors:  Stefan Acosta; Dan Sevonius; Anders Beckman
Journal:  Med Educ Online       Date:  2015-01-29

3.  Design, implementation, and demographic differences of HEAL: a self-report health care leadership instrument.

Authors:  Kelly R Murphy; John E McManigle; Benjamin M Wildman-Tobriner; Amy Little Jones; Travis J Dekker; Barrett A Little; Joseph P Doty; Dean C Taylor
Journal:  J Healthc Leadersh       Date:  2016-10-20
  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.