Evidence map›Paper›PMID 41212865›Full record

ArticlePloS one2025

Physician payment models and cardiac imaging in patients at low cardiovascular risk: A population-based cohort study in Alberta, Canada.

Yewande Kofoworola Ogundeji, Amity E Quinn, Derek S Chew, Flora Au, Stephen B Wilton, Matthew T James, Marcello Tonelli, Braden J Manns

Abstract read
In one paragraph

Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

8 authors.

Yewande Kofoworola OgundejiDepartment of Community Health Sciences, Cumming School of Medicine, University of Calgary, Alberta, Canada.ORCID https://orcid.org/0000-0002-6953-0099
Amity E QuinnDepartment of Community Health Sciences, Cumming School of Medicine, University of Calgary, Alberta, Canada.
Derek S ChewDepartment of Community Health Sciences, Cumming School of Medicine, University of Calgary, Alberta, Canada.
Flora AuDepartment of Medicine, Cumming School of Medicine, University of Calgary, Alberta, Canada.
Stephen B WiltonDepartment of Community Health Sciences, Cumming School of Medicine, University of Calgary, Alberta, Canada.
Matthew T JamesDepartment of Community Health Sciences, Cumming School of Medicine, University of Calgary, Alberta, Canada.
Marcello TonelliDepartment of Community Health Sciences, Cumming School of Medicine, University of Calgary, Alberta, Canada.
Braden J MannsDepartment of Community Health Sciences, Cumming School of Medicine, University of Calgary, Alberta, Canada.ORCID https://orcid.org/0000-0002-8823-6127

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMany factors beyond patient need influence the care that patients receive, including the way physicians are paid, and how services are delivered. In Alberta, outpatient non-invasive cardiac imaging ("cardiac imaging") is paid for publicly but performed at private, for-profit (investor/physician owned) facilities. We investigated patient, physician, and geographic factors associated with cardiac imaging in patients at low cardiovascular risk seeing specialist physicians in Alberta, Canada.

methodsThis was a population-based retrospective cohort study using administrative health data from Alberta, Canada, where nearly all outpatient cardiac imaging is done at privately for-profit community-based facilities. We used administrative health data to identify a cohort of adult (aged ≥18 years) patients at low cardiovascular risk who were assessed by a cardiologist or internal medicine specialist for a new outpatient visit for a cardiac-related reason between April 1, 2011 and December 30, 2019 in Alberta. The primary outcome was cardiac imaging. Explanatory variables included patient and physician characteristics, including payment model (fee for service (FFS) or salary-based), and geography. We used multilevel, multivariable logistic regression models to measure the association between these factors and cardiac imaging.

resultsWe identified 398,095 patients at low cardiovascular risk, of whom 27.5% received at least one cardiac imaging test. Compared to those seen by FFS cardiologists (and controlling for patient and geographic differences), patients seen by salary-based internal medicine specialists had the lowest odds of receiving cardiac imaging (OR=0.055, P < 0.001, CI 0.036-0.086), followed by those seen by FFS internal medicine specialists (OR=0.010, P < 0.001, CI 0.068-0.14), and salary-based cardiologists (OR=0.27, P < 0.001, CI 0.16-0.45). Findings were robust across multiple sensitivity analyses.

conclusionsPhysician payment models and specialty are strongly associated with non-invasive cardiac imaging among patients at low cardiovascular risk.

Indexed as

Cardiac Imaging TechniquesCardiovascular DiseasesPhysiciansAdultAgedAlbertaCohort StudiesFemaleHumansMaleMiddle AgedRetrospective Studies

Identifiers

PMID41212865
PMCPMC12599953

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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.