Entrustment of milestones appears to rise progressively over time, with differences by assessor type, competency, milestone, and resident. Further research is needed to elucidate the validity of these data in promotion, remediation, and reporting decisions.

BACKGROUND: Graduate medical education (GME) training has long-lasting effects on patient care quality. Despite this, few GME programs use clinical care measures as part of resident assessment. Furthermore, there is no gold standard to identify clinical care measures that are reflective of resident care. Resident-sensitive quality measures (RSQMs), defined as "measures that are meaningful in patient care and are most likely attributable to resident care," have been developed using consensus methodology and piloted in pediatric emergency medicine. However, this approach has not been tested in internal medicine (IM). OBJECTIVE: To develop RSQMs for a general internal medicine (GIM) inpatient residency rotation using previously described consensus methods. DESIGN: The authors used two consensus methods, nominal group technique (NGT) and a subsequent Delphi method, to generate RSQMs for a GIM inpatient rotation. RSQMs were generated for specific clinical conditions found on a GIM inpatient rotation, as well as for general care on a GIM ward. PARTICIPANTS: NGT participants included nine IM and medicine-pediatrics (MP) residents and six IM and MP faculty members. The Delphi group included seven IM and MP residents and seven IM and MP faculty members. MAIN MEASURES: The number and description of RSQMs generated during this process. KEY RESULTS: Consensus methods resulted in 89 RSQMs with the following breakdown by condition: GIM g e n e r a l c a r e -2 1 , d i a b e t e s m e l l i t u s -1 6 , hyperkalemia-14, COPD-13, hypertension-11, pneumonia-10, and hypokalemia-4. All RSQMs were process measures, with 48% relating to documentation and 51% relating to orders. Fifty-eight percent of RSQMs were related to the primary admitting diagnosis, while 42% could also be related to chronic comorbidities that require management during an admission. CONCLUSIONS: Consensus methods resulted in 89 RSQMs for a GIM inpatient service. While all RSQMs were process measures, they may still hold value in learner assessment, formative feedback, and program evaluation.

Background Internal medicine (IM) residency programs receive information about applicants via academic transcripts, but studies demonstrate wide variability in satisfaction with and usefulness of this information. In addition, many studies compare application materials to only 1 or 2 assessment metrics, usually standardized test scores and work-based observational faculty assessments.Objective We sought to determine which application materials best predict performance across a broad array of residency assessment outcomes generated by standardized testing and a yearlong IM residency ambulatory long block.Methods In 2019, we analyzed available Electronic Residency Application Service data for 167 categorical IM residents, including advanced degree status, research experience, failures during medical school, undergraduate medical education award status, and United States Medical Licensing Examination (USMLE) scores. We compared these with post-match residency multimodal performance, including standardized test scores and faculty member, peer, allied health professional, and patientlevel assessment measures. ResultsIn multivariate analyses, USMLE Step 2 Clinical Knowledge (CK) scores were most predictive of performance across all residency performance domains measured. Having an advanced degree was associated with higher patient-level assessments (eg, physician listens, physician explains, etc). USMLE Step 1 scores were associated with in-training examination scores only. None of the other measured application materials predicted performance. Conclusions USMLEStep 2 CK scores were the highest predictors of residency performance across a broad array of performance measurements generated by standardized testing and an IM residency ambulatory long block.