Evidence map›Paper›PMID 42101838›Full record

ArticleJAMA network open2026

Developing Resident-Sensitive Quality Measures for Internal Medicine.

Brandon Tang, Andrew C L Lam, Matthew Wankiewicz, Marwa F Ismail, Surain B Roberts, Chang Liu, Daniel Schumacher, Benjamin Kinnear, Yoon Soo Park, Anjala Tess and 5 more

Abstract read
In one paragraph

Article in JAMA network open, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

15 authors.

Brandon TangDivision of General Internal Medicine, Department of Medicine, University of Toronto, Toronto, Ontario, Canada.
Andrew C L LamDepartment of Medicine, University of Toronto, Toronto, Ontario, Canada.
Matthew WankiewiczLi Ka Shing Knowledge Institute, Unity Health Toronto, Toronto, Ontario, Canada.
Marwa F IsmailLi Ka Shing Knowledge Institute, Unity Health Toronto, Toronto, Ontario, Canada.
Surain B RobertsLi Ka Shing Knowledge Institute, Unity Health Toronto, Toronto, Ontario, Canada.
Chang LiuLi Ka Shing Knowledge Institute, Unity Health Toronto, Toronto, Ontario, Canada.
Daniel SchumacherDepartment of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, Ohio.
Benjamin KinnearDepartment of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, Ohio.
Yoon Soo ParkDepartment of Medical Education, University of Illinois Chicago.
Anjala TessDepartment of Medicine, Harvard Medical School, Boston, Massachusetts.
Amol A VermaDivision of General Internal Medicine, Department of Medicine, University of Toronto, Toronto, Ontario, Canada.
Fahad RazakDivision of General Internal Medicine, Department of Medicine, University of Toronto, Toronto, Ontario, Canada.
Martin PusicDepartment of Pediatrics, Harvard Medical School, Boston, Massachusetts.
Shiphra GinsburgDivision of Respirology, Department of Medicine, Mount Sinai Hospital, Toronto, Ontario, Canada.
Brian M WongDepartment of Medicine, University of Toronto, Toronto, Ontario, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Importance: The ultimate goal of residency education is to train physicians to deliver high-quality patient care. However, residents rarely receive data-driven feedback because resident-level quality measures are lacking. Objective: To develop and evaluate resident-sensitive quality measures (RSQMs) using electronic health record data to inform graduate medical education. Design, Setting, and Participants: This cohort study used call schedules linking senior internal medicine residents to patient admissions during overnight internal medicine call shifts at 5 teaching hospitals in Canada from July 1, 2010, through December 31, 2019. Using clinical practice guidelines, 7 RSQMs related to pneumonia or general care for all internal medicine admissions were developed. To support interpretation, a care variation framework was applied that categorized measures as low value (not recommended), discretionary (context dependent), or evidence based (recommended) to enable comparisons between observed and expected variation. The data were analyzed between March 1, 2024, and February 23, 2026. Main Outcomes and Measures: The low-value care RSQM measured potentially inappropriate red cell transfusions (all admissions). Discretionary RSQMs measured use of antibiotics, imaging, or blood work for either pneumonia or all admissions. The evidence-based care RSQM measured ordering of first-line antibiotics for pneumonia. Resident-level variation was assessed using descriptive statistics, including the median proportion of eligible admissions with each RSQM performed and interquartile range. Results: The cohort included 132 291 patient admissions (median [IQR] age, 70 [55-83] years; 50.6% male) linked to 793 residents. Residents had a median (IQR) of 187 (89-228) admissions, including a median (IQR) of 18 (10-24) admissions for pneumonia. Potentially inappropriate red cell transfusions occurred in a low proportion of encounters, with little variation (median, 0%; IQR, 0%-0%). Discretionary measures, including use of second-line antibiotics, advanced imaging, chest computed tomography, and serum protein electrophoresis, varied across residents. For pneumonia admissions (n = 13 470), the RSQM for first-line antibiotic use in pneumonia was sensitive to the time windows for included orders, ranging from 22% (3027 admissions) to 76% (10 205 admissions), depending on the cutoffs applied. Conclusions and Relevance: This cohort study outlined an approach to developing and evaluating RSQMs using readily available electronic health record data to evaluate internal medicine residents' quality of care. Although the RSQMs showed potential, their use for inpatient internal medicine may be more appropriate at the program level due to unresolved concerns regarding attribution and statistical reliability.

Indexed as

Internal MedicineInternship and ResidencyQuality Indicators, Health CareCanadaCohort StudiesElectronic Health RecordsFemaleHumansMalePneumonia

Identifiers

PMID42101838
PMCPMC13156782

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.