Evidence map›Paper›PMID 39642017›Full record

ArticleMedical care2025

Oncology Physician Turnover in the United States Based on Medicare Claims Data.

Sarah L Cornelius, Andrew Schaefer, Anna N A Tosteson, Alistair James O'Malley, Sandra L Wong, Erika L Moen

Abstract read
In one paragraph

Article in Medical care, 2025. 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. 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

6 authors.

Sarah L CorneliusDepartment of Biomedical Data Science, Geisel School of Medicine at Dartmouth, Lebanon, NH.ORCID 0000-0002-7722-7276
Andrew SchaeferThe Dartmouth Institute for Health Policy and Clinical Practice, Geisel School of Medicine at Dartmouth, Lebanon, NH.
Anna N A TostesonThe Dartmouth Institute for Health Policy and Clinical Practice, Geisel School of Medicine at Dartmouth, Lebanon, NH.
Alistair James O'MalleyDepartment of Biomedical Data Science, Geisel School of Medicine at Dartmouth, Lebanon, NH.
Sandra L WongEmory School of Medicine, Emory University, Atlanta, GA.
Erika L MoenDepartment of Biomedical Data Science, Geisel School of Medicine at Dartmouth, Lebanon, NH.

Funding

Translational Engineering in Cancer (TEC)P30CA023108 · NCI · DARTMOUTH COLLEGE · PI Fred W Kolling IV · 1985 to 2026
$91.3M
NCI NIH HHS P30 CA023108
6 · The paper itself

Abstract

objectivePhysician turnover rates are rising in the United States. The cancer workforce, which relies heavily on clinical teamwork and care coordination, may be more greatly impacted by turnover. In this study, we aimed to characterize oncologists who move to identify targets for recruitment and retention efforts.

methodsWe identified medical, radiation, and surgical oncologists who treated Medicare beneficiaries diagnosed with breast, colorectal, or lung cancer in 2016-2019. We used multivariable logistic regression to identify physician-level and multivariable multinomial regression to identify region-level characteristics associated with turnover. Measures included demographic, practice, and patient-sharing network characteristics.

resultsOur cohort included 25,012 medical, radiation, and surgical oncologists, of which, 1448 (5.8%) moved. Women [vs men; odds ratio (OR): 1.46; 95% CI: 1.30-1.64] and surgeons (vs medical oncologists; OR: 1.17; 95% CI; 1.04-1.33) had higher odds of moving. Compared with oncologists with moderate patient-sharing ties, those with many ties had lower odds of moving (OR: 0.55; 95% CI: 0.43-0.70). Patient-sharing networks with low efficiency (vs moderate) were more likely to have a net loss in their oncology workforce (OR: 3.06; 95% CI: 1.12-8.35), whereas those with low specialist vulnerability (vs moderate) were less likely to have a net loss (OR: 0.32; 95% CI: 0.1-0.99).

conclusionsThis study identified novel patient-sharing network characteristics associated with turnover, providing new insights into how the structural features of patient-sharing networks may be related to the recruitment and retention of oncologists.

Indexed as

MedicareOncologistsPersonnel TurnoverAgedFemaleHumansMaleMedical OncologyUnited States

Identifiers

PMID39642017
PMCPMC11617083

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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.