Evidence map›Paper›PMID 41733515›Full record

ArticleJournal of the American College of Radiology : JACR2026

Radiologist Turnover in the United States.

Jay R Parikh, Alexandra R Drake, Elizabeth Y Rula, Elle Golding, Eric W Christensen

Abstract read
In one paragraph

Article in Journal of the American College of Radiology : JACR, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

5 authors.

Jay R ParikhProfessor, Division of Diagnostic Imaging, University of Texas MD Anderson Cancer Center, Houston, Texas; President, Texas Radiological Society, San Antonio, Texas; Chair, Committee on Fellowship Credentials; and Chair, Breast Ultrasound Accreditation Committee, American College of Radiology, Reston, Virginia.
Alexandra R DrakeSenior Economics and Health Services Researcher, Harvey L. Neiman Health Policy Institute, Reston, Virginia.
Elizabeth Y RulaExecutive Director, Harvey L. Neiman Health Policy Institute, Reston, Virginia.
Elle GoldingIntern, Harvey L. Neiman Health Policy Institute, Reston, Virginia.
Eric W ChristensenResearch Director, Harvey L. Neiman Health Policy Institute, Reston, Virginia. Electronic address: echristensen@neimanhpi.org.

Funding

Tumor Evolution and Metastasis ProgramP30CA016672 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI Fabien Delerue · 1985 to 2026
$290.8M
NCI NIH HHS P30 CA016672
6 · The paper itself

Abstract

purposeTo estimate the turnover rate and its association with workload and radiologist and practice characteristics given the detrimental aspects of turnover on radiology practices.

methodsThis retrospective study (2013-2022) examined practice turnover rates (leaving one practice to join another) of radiologists by year (radiologist-years). Radiologist and practice characteristics were obtained from CMS (Medicare Data on Provider Practice and Specialty and National Downloadable Files). Radiologists' workload was estimated based on 5% sample of CMS Medicare fee-for-service claims and Inovalon Insights, LLC (Bowie, MD), claims (commercial, Medicaid, and Medicare Advantage). Radiologists' total workload was extrapolated from these claims based on the population represented in these data. Turnover odds by radiologist and practice characteristics and workload were estimated by logistic regression.

resultsBetween 2013 and 2022, 280,692 radiologist-years (39,439 radiologists) met the selection criteria. Turnover increased from 5.3% to 8.5% (from 2013 to 2022). Adjusted turnover odds were 1.96 (95% confidence interval [CI]: 1.83-2.10) in 2022 versus 2013, were higher for female versus male (odds ratio [OR]: 1.06; 95% CI: 1.02-1.10) and metropolitan versus nonmetropolitan (OR: 1.12; 95% CI: 1.05-1.20), and were lower for academic versus nonacademic (OR: 0.91; 95% CI: 0.86-0.97) radiologists and decreased with years of practice (YOP). The turnover rate decreased as workload increased until reaching a minimum rate-an inflection point-and then increased. This inflection point was lower for academic versus nonacademic radiologists and with more YOP.

conclusionsFactors associated with higher turnover included excessive workload, nonacademic practices, females, lower YOP, and metropolitan setting. Practices should consider these factors as they design retention efforts.

Indexed as

Personnel TurnoverRadiologistsWorkloadFemaleHumansMaleRetrospective StudiesUnited Statesacademic turnoverNonacademic workloadyears of practice

Identifiers

PMID41733515
PMCPMC13156836

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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.