Outcomes-Based Selection Into Medical School: Predicting Excellence in Multiple Competencies During the Clinical Years.

Purpose: Medical school selection committees aim to identify the best possible students and, ultimately, the best future doctors from a large, well-qualified, generally homogeneous pool of applicants. Constructive alignment of medical school selection, curricula, and assessment with the ultimate outcomes (e.g.

Increasing value in research: cost evaluations in health professions education.

The authors use Foo et al.'s discussion of the value of economic evaluations to consider how such techniques might advance the practice of selection for medical school.

Opening the black box of selection.

Medical school selection is currently in the paradoxical situation in which selection tools may predict study outcomes, but which constructs are actually doing the predicting is unknown (the 'black box of selection'). Therefore, our research focused on those constructs, answering the question: do the internal structures of the tests in an outcome-based selection procedure reflect the content that was intended to be measured? Downing's validity framework was applied to organize evidence for construct validity, focusing on evidence related to content and internal structure. The applied selection procedure was a multi-tool, CanMEDS-based procedure comprised of a video-based situational judgement test (focused on (inter)personal competencies), and a written aptitude test (reflecting a broader array of CanMEDS competencies).

Does selection pay off? A cost-benefit comparison of medical school selection and lottery systems.

Context: Resources for medical education are becoming more constrained, whereas accountability in medical education is increasing. In this constrictive environment, medical schools need to consider and justify their selection procedures in terms of costs and benefits. To date, there have been no studies focusing on this aspect of selection.

Selection into medicine: the predictive validity of an outcome-based procedure.

Background: Medical schools must select students from a large pool of well-qualified applicants. A challenging issue set forward in the broader literature is that of which cognitive and (inter)personal qualities should be measured to predict diverse later performance. To address this gap, we designed a 'backward chaining' approach to selection, based on the competences of a 'good doctor'.