Evidence map›Paper›PMID 38084753›Full record

ArticleJournal of the American Heart Association2023

Physician Variation and the Impact of Payment Model in Cardiac Imaging.

Amity E Quinn, Derek S Chew, Peter Faris, Flora Au, Matthew T James, Marcello Tonelli, Braden J Manns

Open access · goldAbstract read
In one paragraph

Article in Journal of the American Heart Association, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
3.4field-weighted citation impact, top 6% 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

3 citing papers in PubMed, 6 citations in OpenAlex.

  1. Review
  2. Article
  3. 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

7 authors at 2 institutions in 2 countries.

Amity E QuinnDepartment of Medicine, Cumming School of Medicine University of Calgary Alberta Canada.ORCID 0000-0002-1327-310X
Derek S ChewDepartment of Medicine, Cumming School of Medicine University of Calgary Alberta Canada.ORCID 0000-0003-3539-7485
Peter FarisDepartment of Community Health Sciences, Cumming School of Medicine University of Calgary Alberta Canada.ORCID 0000-0001-5208-817X
Flora AuDepartment of Medicine, Cumming School of Medicine University of Calgary Alberta Canada.
Matthew T JamesDepartment of Medicine, Cumming School of Medicine University of Calgary Alberta Canada.ORCID 0000-0002-1876-3917
Marcello TonelliDepartment of Medicine, Cumming School of Medicine University of Calgary Alberta Canada.ORCID 0000-0002-0846-3187
Braden J MannsDepartment of Medicine, Cumming School of Medicine University of Calgary Alberta Canada.ORCID 0000-0002-8823-6127
University of Calgary · CAAlberta Health Services · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe influence of fee-for-service reimbursement on cardiac imaging has not been compared with other payment models. Furthermore, variation in ordering practices is not well understood. METHODS AND

resultsThis retrospective, population-based cohort study using linked administrative data from Alberta, Canada included adults with chronic heart disease (atrial fibrillation, coronary artery disease, and heart failure) seen by cardiac specialists for a new outpatient consultation April 2012 to December 2018. Generalized linear mixed-effects models estimated the association of payment model (including the ability to bill to interpret imaging tests) and the use of cardiac imaging and quantified variation in cardiac imaging. Among 31 685 adults seen by 308 physicians at 136 sites, patients received an observed mean of 0.67 (95% CI, 0.67-0.68) imaging tests per consultation. After adjustment, patients seeing fee-for-service physicians had 2.07 (95% CI, 1.68-2.54) and fee-for-service physicians with ability to interpret had 2.87 (95% CI, 2.16-3.81) times the rate of receiving a test than those seeing salaried physicians. Measured patient, physician, and site effects accounted for 31% of imaging variation and, following adjustment, reduced unexplained site-level variation 40% and physician-level variation 29%.

conclusionsWe identified substantial variation in the use of outpatient cardiac imaging related to physician and site factors. Physician payment models have a significant association with imaging use. Our results raise concern that payment models may influence cardiac imaging practice. Similar methods could be applied to identify the source and magnitude of variation in other health care processes and outcomes.

Indexed as

Fee-for-Service PlansPhysiciansAdultAlbertaCohort StudiesHumansRetrospective Studiesfee‐for‐serviceimagingincentivesmultilevel modelsalaryvariation

Identifiers

PMID38084753
PMCPMC10863764
OpenAlexW4389624402

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.