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Updated: Aug 23, 2025

A Novel Digital Platform for a Monitored Home-based Cardiac Rehabilitation Program
Published on: April 19, 2019
Evaluation of house staff candidates for program fit: a cohort-based controlled study
Soo-Hoon Lee1, Phillip H Phan2,3, Sanjay V Desai4
1Strome College of Business, Old Dominion University, Norfolk, VA, USA.
Background:
Medical school academic achievements do not necessarily predict house staff job performance. This study explores a selection mechanism that improves house staff-program fit that enhances the Accreditation Council for Graduate Medical Education Milestones performance ratings.
Objective:
Traditionally, house staff were selected primarily on medical school academic performance. To improve residency performance outcomes, the Program designed a theory-driven selection tool to assess house staff candidates on their personal values and goals fit with Program values and goals. It was hypothesized cohort performance ratings will improve because of the intervention.
Methods:
Prospective quasi-experimental cohort design with data from two house staff cohorts at a university-based categorical Internal Medicine Residency Program. The intervention cohort, comprising 45 house staff from 2016 to 2017, was selected using a Behaviorally Anchored Rating Scales (BARS) tool for program fit. The control cohort, comprising 44 house staff from the prior year, was selected using medical school academic achievement scores. House staff performance was evaluated using ACGME Milestones indicators. The mean scores for each category were compared between the intervention and control cohorts using Student's t-tests with Bonferroni correction and Cohen's d for effect size.
Results:
The cohorts were no different in academic performance scores at time of Program entry. The intervention cohort outperformed the control cohort on all 6 dimensions of Milestones by end-PGY1 and 3 of 6 dimensions by mid-PGY3.
Conclusion:
Selecting house staff based on compatibility with Residency Program values and objectives may yield higher job performance because trainees benefit more from a better fit with the training program.
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