» Articles » PMID: 20854155

How to Measure the Quality of the OSCE: A Review of Metrics - AMEE Guide No. 49

Overview
Journal Med Teach
Publisher Informa Healthcare
Specialty Medical Education
Date 2010 Sep 22
PMID 20854155
Citations 59
Authors
Affiliations
Soon will be listed here.
Abstract

With an increasing use of criterion-based assessment techniques in both undergraduate and postgraduate healthcare programmes, there is a consequent need to ensure the quality and rigour of these assessments. The obvious question for those responsible for delivering assessment is how is this 'quality' measured, and what mechanisms might there be that allow improvements in assessment quality over time to be demonstrated? Whilst a small base of literature exists, few papers give more than one or two metrics as measures of quality in Objective Structured Clinical Examinations (OSCEs). In this guide, aimed at assessment practitioners, the authors aim to review the metrics that are available for measuring quality and indicate how a rounded picture of OSCE assessment quality may be constructed by using a variety of such measures, and also to consider which characteristics of the OSCE are appropriately judged by which measure(s). The authors will discuss the quality issues both at the individual station level and across the complete clinical assessment as a whole, using a series of 'worked examples' drawn from OSCE data sets from the authors' institution.

Citing Articles

GPT-4 assistance for improvement of physician performance on patient care tasks: a randomized controlled trial.

Goh E, Gallo R, Strong E, Weng Y, Kerman H, Freed J Nat Med. 2025; .

PMID: 39910272 DOI: 10.1038/s41591-024-03456-y.


Exploring Goal Attainment Scaling Among Occupational Therapy Students: A Retrospective Descriptive Analysis.

Alduraidi W, Zhang E, Foster L, Mische-Lawson L Occup Ther Int. 2025; 2025():6034855.

PMID: 39845290 PMC: 11753844. DOI: 10.1155/oti/6034855.


The effectiveness of integrating making every contact count into an undergraduate medical curriculum.

Fletcher R, Hammant A, Symes R, Turvey A, Ward A, Mahdzir A PEC Innov. 2024; 5:100356.

PMID: 39649011 PMC: 11625203. DOI: 10.1016/j.pecinn.2024.100356.


Large Language Model Influence on Diagnostic Reasoning: A Randomized Clinical Trial.

Goh E, Gallo R, Hom J, Strong E, Weng Y, Kerman H JAMA Netw Open. 2024; 7(10):e2440969.

PMID: 39466245 PMC: 11519755. DOI: 10.1001/jamanetworkopen.2024.40969.


Knowledge Mapping and Global Trends in the Field of the Objective Structured Clinical Examination: Bibliometric and Visual Analysis (2004-2023).

Ba H, Zhang L, He X, Li S JMIR Med Educ. 2024; 10:e57772.

PMID: 39348890 PMC: 11474118. DOI: 10.2196/57772.