2,939
Views
19
CrossRef citations to date
0
Altmetric
How We…

How to develop a competency-based examination blueprint for longitudinal standardized patient clinical skills assessments

, , &
Pages 883-890 | Published online: 12 Jul 2013
 

Abstract

Background: Objective Structured Clinical Exams (OSCEs) with standardized patients (SPs) are commonly used in medical education to assess learners’ clinical skills. However, assessments are often discrete rather than intentionally developmentally sequenced.

Aims: We developed an examination blueprint to optimize assessment and feedback to learners with purposeful sequence as a series of longitudinally integrated assessments based on performance milestones. Integrated and progressive clinical skills assessments offer several benefits: assessment of skill development over time, systematic identification of learning needs, data for individualized feedback and learning plans, and baseline reference points for reassessment.

Methods: Using a competency-based medical education (CBME) framework, we translated pre-determined competency milestones for medical students’ patient encounters into a four-year SP-based OSCE examination blueprint.

Results: Initial evaluation of cases using the blueprint revealed opportunities to target less frequently assessed competencies and to align assessments with milestones for each year.

Conclusions: The examination blueprint can guide ongoing SP-based OSCE case design. Future iterations of examination blueprints can incorporate lessons learnt from evaluation data and student 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 771.00 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.