Skip to main content
Journal cover image

Investigating a Model to Predict Milestones From Entrustable Professional Activity Levels for Medicine-Pediatrics Residents.

Journal articles  - Journal Article
Schumacher, DJ; Kinnear, B; Feeney, C; Williams, R; Donohue, KE; Chea, K; Stehouwer, N; Tolentino, J; Contarino, M; Bruti, C; Michelson, C ...
Published in: Acad Pediatr
June 26, 2026

PURPOSE: Residency programs will need to assess residents using both Accreditation Council for Graduate Medical Education (ACGME) milestones and entrustable professional activities (EPAs) to meet ACGME and American Board of Pediatrics requirements in the coming year. Identifying ways to optimize assessment efforts using both frameworks is important. The authors applied a model developed for predicting milestone levels from EPA entrustment-supervision levels among categorical pediatrics residents to make predictions for internal medicine-pediatrics residents. METHOD: During three academic years (2021-2024), the authors conducted a multi-site prospective cohort study at 8 United States internal medicine-pediatrics residency programs. They generated predictions of the 22 ACGME pediatrics milestones from the 17 general pediatrics EPAs determined by program clinical competency committees (CCCs). Predicted milestones were compared with actual ACGME-reported milestones. Overall association between predicted and reported milestones was estimated using a partial correlation coefficient (adjusting for program, resident, and competency) and fitted mixed effects regressions for differences between predicted and reported milestone levels with competency as a fixed effect and program and resident as random effects. RESULTS: Across 378 internal medicine-pediatrics residents, 6101 EPA entrustment-supervision levels and 7784 ACGME milestone levels were collected. Across all competencies, the marginal mean probability of an exact match between CCC reported and model predicted milestone levels was 38%; however, the likelihood of being within 0.5 level was 93% and within 1 level was over 99%. CONCLUSIONS: The authors present a method for predicting milestone levels from EPA levels. Predicted milestone levels should be vetted with CCCs.

Duke Scholars

Altmetric Attention Stats
Dimensions Citation Stats

Published In

Acad Pediatr

DOI

EISSN

1876-2867

Publication Date

June 26, 2026

Start / End Page

103367

Location

United States

Related Subject Headings

  • Pediatrics
  • 3213 Paediatrics
 

Citation

APA
Chicago
ICMJE
MLA
NLM
Schumacher, D. J., Kinnear, B., Feeney, C., Williams, R., Donohue, K. E., Chea, K., … APPD LEARN Crosswalk Study Team. (2026). Investigating a Model to Predict Milestones From Entrustable Professional Activity Levels for Medicine-Pediatrics Residents. Acad Pediatr, 103367. https://doi.org/10.1016/j.acap.2026.103367
Schumacher, Daniel J., Benjamin Kinnear, Colby Feeney, Ronald Williams, Katelyn E. Donohue, Kay Chea, Nathan Stehouwer, et al. “Investigating a Model to Predict Milestones From Entrustable Professional Activity Levels for Medicine-Pediatrics Residents.Acad Pediatr, June 26, 2026, 103367. https://doi.org/10.1016/j.acap.2026.103367.
Schumacher DJ, Kinnear B, Feeney C, Williams R, Donohue KE, Chea K, et al. Investigating a Model to Predict Milestones From Entrustable Professional Activity Levels for Medicine-Pediatrics Residents. Acad Pediatr. 2026 Jun 26;103367.
Schumacher, Daniel J., et al. “Investigating a Model to Predict Milestones From Entrustable Professional Activity Levels for Medicine-Pediatrics Residents.Acad Pediatr, June 2026, p. 103367. Pubmed, doi:10.1016/j.acap.2026.103367.
Schumacher DJ, Kinnear B, Feeney C, Williams R, Donohue KE, Chea K, Stehouwer N, Tolentino J, Contarino M, Bruti C, Michelson C, Winn A, Turner DA, Schwartz A, APPD LEARN Crosswalk Study Team. Investigating a Model to Predict Milestones From Entrustable Professional Activity Levels for Medicine-Pediatrics Residents. Acad Pediatr. 2026 Jun 26;103367.
Journal cover image

Published In

Acad Pediatr

DOI

EISSN

1876-2867

Publication Date

June 26, 2026

Start / End Page

103367

Location

United States

Related Subject Headings

  • Pediatrics
  • 3213 Paediatrics