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Does Incorporating a Measure of Clinical Workload Improve Workplace-Based Assessment Scores? Insights for Measurement
Yoon Soo Park1, Patricia J Hicks, Carol Carraccio
1Y.S. Park is associate professor, Department of Medical Education, University of Illinois at Chicago College of Medicine, Chicago, Illinois; ORCID: http://orcid.org/0000-0001-8583-4335. P.J. Hicks is professor of clinical pediatrics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania; ORCID: https://orcid.org/0000-0003-3781-780X. C. Carraccio is vice president of competency-based assessment programs, American Board of Pediatrics, Chapel Hill, North Carolina; ORCID: https://orcid.org/0000-0001-5473-8914. M. Margolis is senior measurement scientist, National Board of Medical Examiners, Philadelphia, Pennsylvania; ORCID: https://orcid.org/0000-0002-6548-7273. A. Schwartz is Michael Reese Endowed Professor of Medical Education, Department of Medical Education, and research professor, Department of Pediatrics, University of Illinois at Chicago College of Medicine, Chicago, Illinois; ORCID: http://orcid.org/0000-0003-3809-6637.
Purpose:
This study investigates the impact of incorporating observer-reported workload into workplace-based assessment (WBA) scores on (1) psychometric characteristics of WBA scores and (2) measuring changes in performance over time using workload-unadjusted versus workload-adjusted scores.
Method:
Structured clinical observations and multisource feedback instruments were used to collect WBA data from first-year pediatrics residents at 10 residency programs between July 2016 and June 2017. Observers completed items in 8 subcompetencies associated with Pediatrics Milestones. Faculty and resident observers assessed workload using a sliding scale ranging from low to high; all item scores were rescaled to a 1-5 scale to facilitate analysis and interpretation. Workload-adjusted WBA scores were calculated at the item level using three different approaches, and aggregated for analysis at the competency level. Mixed-effects regression models were used to estimate variance components. Longitudinal growth curve analyses examined patterns of developmental score change over time.
Results:
On average, participating residents (n = 252) were assessed 5.32 times (standard deviation = 3.79) by different raters during the data collection period. Adjusting for workload yielded better discrimination of learner performance, and higher reliability, reducing measurement error by 28%. Projections in reliability indicated needing up to twice the number of raters when workload-unadjusted scores were used. Longitudinal analysis showed an increase in scores over time, with significant interaction between workload and time; workload also increased significantly over time.
Conclusions:
Incorporating a measure of observer-reported workload could improve the measurement properties and the ability to interpret WBA scores.
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