Development and verification of a taxonomy of assessment metrics for surgical technical skills.

作者: Connie C. Schmitz , Debra DaRosa , Maura E. Sullivan , Shari Meyerson , Ken Yoshida

DOI: 10.1097/ACM.0000000000000056

关键词:

摘要: Purpose To create and empirically verify a taxonomy of metrics for assessing surgical technical skills, to determine which types metrics, settings, learners, models, instruments were most commonly reported in the skills assessment literature. Method In 2011-2012, authors used rational analysis existing emerging taxonomy, PubMed conduct systematic literature review (2001-2011) test taxonomy's comprehensiveness verifiability. Using 202 articles identified from review, classified according coded data concerning their context use. Frequencies (counts, percentages) calculated all variables. Results The contained 12 objective 4 subjective categories. Of 567 literature, 520 (92%) using new taxonomy. Process outnumbered outcome by 8:1. frequent "time," "manual techniques" (objective subjective), "errors," "procedural steps." Only one metric, "learning curve," emerged. Assessments basic motor germane laparoscopic surgery dominated Novices, beginners, intermediate learners subjects, box trainers virtual reality simulators models performance. Conclusions Metrics convey what is valued human This provides common nomenclature. It may help educators researchers procedurally oriented disciplines use more precisely consistently. Future assessments should focus on bedside tasks open procedures include metrics.

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