Evidence map›Paper›PMID 35754636›Full record

ArticleJournal of graduate medical education2022

The Reliability of Graduate Medical Education Quality of Care Clinical Performance Measures.

Jung G Kim, Hector P Rodriguez, Eric S Holmboe, Kathryn M McDonald, Lindsay Mazotti, Diane R Rittenhouse, Stephen M Shortell, Michael H Kanter

Abstract read
In one paragraph

Article in Journal of graduate medical education, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
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

8 authors.

Jung G Kimis Assistant Professor, Kaiser Permanente Bernard J. Tyson School of Medicine, Department of Health Systems Science.
Hector P Rodriguezis the Kaiser Permanente Professor of Health Policy and Management, University of California, Berkeley School of Public Health.
Eric S Holmboeis Chief Research, Milestone Development, and Evaluation Officer, Accreditation Council for Graduate Medical Education.
Kathryn M McDonaldis the Bloomberg Distinguished Professor of Health Systems, Quality, and Safety, Johns Hopkins Schools of Medicine and Nursing.
Lindsay Mazottiis Assistant Physician-in-Chief, Kaiser Permanente East Bay and Director, Clinical Experience/Associate Professor of Clinical Science, Kaiser Permanente School of Medicine.
Diane R Rittenhouseis Senior Fellow, Mathematica, and Professor, University of California, San Francisco.
Stephen M Shortellis Blue Cross of California Distinguished Professor of Health Policy and Management Emeritus, Dean Emeritus, and Professor, Graduate School, University of California, Berkeley School of Public Health.
Michael H Kanteris Chair and Professor of Clinical Science, Kaiser Permanente School of Medicine.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Graduate medical education (GME) program leaders struggle to incorporate quality measures in the ambulatory care setting, leading to knowledge gaps on how to provide feedback to residents and programs. While nationally collected quality of care data are available, their reliability for individual resident learning and for GME program improvement is understudied. Objective: To examine the reliability of the Healthcare Effectiveness Data and Information Set (HEDIS) clinical performance measures in family medicine and internal medicine GME programs and to determine whether HEDIS measures can inform residents and their programs with their quality of care. Methods: From 2014 to 2017, we collected HEDIS measures from 566 residents in 8 family medicine and internal medicine programs under one sponsoring institution. Intraclass correlation was performed to establish patient sample sizes required for 0.70 and 0.80 reliability levels at the resident and program levels. Differences between the patient sample sizes required for reliable measurement and the actual patients cared for by residents were calculated. Results: The highest reliability levels for residents (0.88) and programs (0.98) were found for the most frequently available HEDIS measure, colorectal cancer screening. At the GME program level, 87.5% of HEDIS measures had sufficient sample sizes for reliable measurement at alpha 0.7 and 75.0% at alpha 0.8. Most resident level measurements were found to be less reliable. Conclusions: GME programs may reliably evaluate HEDIS performance pooled at the program level, but less so at the resident level due to patient volume.

Indexed as

Education, MedicalInternship and ResidencyEducation, Medical, GraduateFamily PracticeHumansReproducibility of ResultsUnited States

Identifiers

PMID35754636
PMCPMC9200256

What OpenQuestion holds

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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.