Literature DB >> 16760812

Predicting the technical competence of surgical residents.

Stanley J Hamstra1.   

Abstract

I describe an approach to predicting competence in technical skills for the purposes of resident selection. To demonstrate a predictive relationship, it is necessary to use measures that exhibit variation, reliability, and validity. There is little evidence that such measures are routinely used in the process of selecting residents. I argue that the selection of assessment instruments in the predictor domain must be guided by relevant theoretical considerations, while assessment in the surgical domain must make use of more objective and reliable instruments than is currently the practice. I present a brief summary of research on predicting operative technical competence.

Mesh:

Year:  2006        PMID: 16760812     DOI: 10.1097/01.blo.0000224060.55237.c8

Source DB:  PubMed          Journal:  Clin Orthop Relat Res        ISSN: 0009-921X            Impact factor:   4.176


  3 in total

1.  An assessment tool for aseptic technique in resident physicians: a journey towards validation in the real world of limited supervision.

Authors:  Monica L Lypson; Stanley J Hamstra; Paula T Ross; Larry D Gruppen; Lisa M Colletti
Journal:  J Grad Med Educ       Date:  2010-03

Review 2.  Recent evidence on visual-spatial ability in surgical education: A scoping review.

Authors:  Portia Kalun; Krista Dunn; Natalie Wagner; Thejodhar Pulakunta; Ranil Sonnadara
Journal:  Can Med Educ J       Date:  2020-12-07

3.  The contribution of wet labs in the education of ophthalmologists.

Authors:  Diamantis Almaliotis; Georgios P Athanasopoulos; Stavroula Almpanidou; Eleni P Papadopoulou; Vasileios Karampatakis
Journal:  Ann Med Surg (Lond)       Date:  2021-11-12
  3 in total

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