Evidence map›Paper›PMID 31747038›Full record

ArticleJAMA network open2019

Association of a Multisite Interprofessional Education Initiative With Quality of Primary Care.

Samuel T Edwards, Elizabeth R Hooker, Rebecca Brienza, Bridget O'Brien, Hyunjee Kim, Stuart Gilman, Nancy Harada, Lillian Gelberg, Sarah Shull, Meike Niederhausen and 4 more

Open access · goldAbstract read
In one paragraph

Article in JAMA network open, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
7.3field-weighted citation impact, top 3% of its field
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

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 34 citations in OpenAlex.

  1. Pooled it
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  7. Aiding the Adoption of Master Protocols by Optimizing Patient Engagement.Therapeutic innovation & regulatory science · 2023
    Article
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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

14 authors at 9 institutions in 1 country.

Samuel T EdwardsSection of General Internal Medicine, Veterans Affairs Portland Health Care System, Portland, Oregon.
Elizabeth R HookerCenter to Improve Veteran Involvement in Care, Veterans Affairs Portland Health Care System, Portland, Oregon.
Rebecca BrienzaCenter of Excellence in Primary Care Education, Veterans Affairs Connecticut Health Care System, West Haven.
Bridget O'BrienCenter of Excellence in Primary Care Education, Veterans Affairs San Francisco Health Care System, San Francisco, California.
Hyunjee KimCenter for Health Systems Effectiveness, Oregon Health and Science University, Portland.
Stuart GilmanOffice of Academic Affiliations, Veterans Health Administration, Washington, DC.
Nancy HaradaOffice of Academic Affiliations, Veterans Health Administration, Washington, DC.
Lillian GelbergDavid Geffen School of Medicine, University of California, Los Angeles.
Sarah ShullCenter to Improve Veteran Involvement in Care, Veterans Affairs Portland Health Care System, Portland, Oregon.
Meike NiederhausenOregon Health and Science University-Portland State University School of Public Health, Oregon Health and Science University, Portland.
Samuel KingOffice of Academic Affiliations, Veterans Health Administration, Washington, DC.
Elizabeth HulenCenter to Improve Veteran Involvement in Care, Veterans Affairs Portland Health Care System, Portland, Oregon.
Mamta K SinghCenter of Excellence in Primary Care Education, Louis Stokes Cleveland Veterans Affairs Medical Center, Cleveland, Ohio.
Anaïs TuepkerCenter to Improve Veteran Involvement in Care, Veterans Affairs Portland Health Care System, Portland, Oregon.
VA Portland Health Care System · USVeterans Health Administration · USOregon Health & Science University · USPortland State University · USSan Francisco VA Health Care System · USUnited States Department of Veterans Affairs · USVA Greater Los Angeles Healthcare System · USWestern University of Health Sciences · USYale University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Importance: Studies have shown that interprofessional education (IPE) improves learner proficiencies, but few have measured the association of IPE with patient outcomes, such as clinical quality. Objective: To estimate the association of a multisite IPE initiative with quality of care. Design, Setting, and Participants: This study used difference-in-differences analysis of US Department of Veterans Affairs (VA) electronic health record data from July 1, 2008, to June 30, 2015. Patients cared for by resident clinicians in 5 VA academic primary care clinics that participated in the Centers of Excellence in Primary Care Education (CoEPCE), an initiative designed to promote IPE among physician, nurse practitioner, pharmacist, and psychologist trainees, were compared with patients cared for by resident clinicians in 5 regionally matched non-CoEPCE clinics using data for the 3 academic years (ie, July 1 to June 30) before and 4 academic years after the CoEPCE launch. Analysis was conducted from January 18, 2018, to January 17, 2019. Main Outcomes and Measures: Among patients with diabetes, outcomes included annual hemoglobin A1c, poor hemoglobin A1c control (ie, <9% or unmeasured), and annual renal test; among patients 65 years and older, outcomes included prescription of high-risk medications; among patients with hypertension, outcomes included hypertension control (ie, blood pressure, <140/90 mm Hg); and among all patients, outcomes included timely mental health referrals, primary care mental health integrated visits, and hospitalizations for ambulatory care-sensitive conditions. Results: A total of 44 527 patients contributed 107 686 patient-years; 49 279 (45.8%) were CoEPCE resident patient-years (mean [SD] patient age, 59.3 [15.2] years; 26 206 [53.2%] white; 8073 [16.4%] women; mean [SD] patient Elixhauser comorbidity score, 12.9 [15.1]), and 58 407 (54.2%) were non-CoEPCE resident patient-years (mean [SD] patient age, 61.8 [15.3] years; 43 912 [75.2%] white; 4915 [8.4%] women; mean [SD] patient Elixhauser comorbidity score, 13.8 [15.7]). Compared with resident clinicians who did not participate in the CoEPCE initiative, CoEPCE training was associated with improvements in the proportion of patients with diabetes with poor hemoglobin A1c control (-4.6 percentage points; 95% CI, -7.5 to -1.8 percentage points; P < .001), annual renal testing among patients with diabetes (3.2 percentage points; 95% CI, 0.6 to 5.7 percentage points; P = .02), prescription of high-risk medications among patients 65 years and older (-2.3 percentage points; 95% CI, -4.0 to -0.6 percentage points; P = .01), and timely mental health referrals (1.6 percentage points; 95% CI, 0.6 to 2.6 percentage points; P = .002). Fewer patients cared for by CoEPCE resident clinicians had a hospitalization for an ambulatory care-sensitive condition compared with patients cared for by non-CoEPCE resident clinicians in non-CoEPCE clinics (-0.4 percentage points; 95% CI, -0.9 to 0.0 percentage points; P = .01). Sensitivity analyses with alternative comparison groups yielded similar results. Conclusions and Relevance: In this study, the CoEPCE initiative was associated with modest improvements in quality of care. Implementation of IPE was associated with improvements in patient outcomes and may potentiate delivery system reform efforts.

Indexed as

Quality of Health CareAgedEducation, Medical, ContinuingFemaleHumansInterdisciplinary CommunicationMaleMiddle AgedPrimary Health CareQuality Indicators, Health CareUnited StatesUnited States Department of Veterans AffairsVeterans Health Services

Identifiers

PMID31747038
PMCPMC6902823
OpenAlexW2991351339

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.