599
Views
8
CrossRef citations to date
0
Altmetric
Applied Research

Integrating Medical Students’ Goals, Self-Assessment and Preceptor Feedback in an Ambulatory Clerkship

&
Pages 285-291 | Published online: 10 Oct 2013
 

Abstract

Background: Self-assessment and feedback are important elements for improving performance. However, coordinating their content remains elusive. Purpose: The purpose is to determine whether student self-assessment and preceptor feedback correlate with course outcomes and whether preceptor feedback informs student self-assessment. Methods: Our students generate initial and midterm goals and preceptors provide midterm feedback. We coded goals and feedback as clinical subsets, knowledge, career oriented, and attitudinal. We assessed associations with exams and evaluations using correlations, chi-square, and comparisons of means. Results: Students usually listed clinical goals (72%), whereas preceptors noted attitudes (50%). Students’ self-assessments had little association with exams, evaluations, or preceptor feedback. Students cited by preceptors for clinical strengths scored higher on exams (77.2 vs. 72.7, p < .01). Those cited for knowledge received more honors and high pass (78 vs. 60%, p = .05) evaluations. Conclusions: Students and preceptors emphasize different aspects of performance. Student self-assessments were not associated with outcomes, but preceptor feedback was. Student self-assessment seemed resistant to feedback.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 65.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 464.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.