Evidence map›Paper›PMID 38386962›Full record

ArticleJCO oncology practice2024

Characterizing the Traveling Oncology Workforce and Its Influence on Patient Travel Burden: A Claims-Based Approach.

Bruno T Scodari, Andrew P Schaefer, Nirav S Kapadia, A James O'Malley, Gabriel A Brooks, Anna N A Tosteson, Tracy Onega, Changzhen Wang, Fahui Wang, Erika L Moen

Abstract read
In one paragraph

Article in JCO oncology practice, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Review
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  8. 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

10 authors.

Bruno T ScodariDepartment of Biomedical Data Science, Geisel School of Medicine at Dartmouth, Lebanon, NH.ORCID 0000-0003-3198-0876
Andrew P SchaeferThe Dartmouth Institute for Health Policy and Clinical Practice, Lebanon, NH.
Nirav S KapadiaThe Dartmouth Institute for Health Policy and Clinical Practice, Lebanon, NH.ORCID 0000-0001-7230-5784
A James O'MalleyDepartment of Biomedical Data Science, Geisel School of Medicine at Dartmouth, Lebanon, NH.ORCID 0000-0001-8389-6217
Gabriel A BrooksThe Dartmouth Institute for Health Policy and Clinical Practice, Lebanon, NH.ORCID 0000-0003-3984-9995
Anna N A TostesonThe Dartmouth Institute for Health Policy and Clinical Practice, Lebanon, NH.ORCID 0000-0001-7718-8943
Tracy OnegaDepartment of Population Health Sciences and Huntsman Cancer Institute, University of Utah, Salt Lake City, UT.ORCID 0000-0002-1633-3040
Changzhen WangDepartment of Geography and the Environment, The University of Alabama, Tuscaloosa, AL.ORCID 0000-0002-3065-1168
Fahui WangDepartment of Geography and Anthropology, Louisiana State University, Baton Rouge, LA.ORCID 0000-0001-7765-3024
Erika L MoenDepartment of Biomedical Data Science, Geisel School of Medicine at Dartmouth, Lebanon, NH.ORCID 0000-0002-9800-8742

Funding

Translational Engineering in Cancer (TEC)P30CA023108 · NCI · DARTMOUTH COLLEGE · PI Fred W Kolling IV · 1985 to 2026
$91.3M
Improving cancer health equity by targeting physician networksR37CA263936 · NCI · DARTMOUTH COLLEGE · PI MOEN, ERIKA · 2021 to 2025
$2.3M
Dartmouth Training Program in Quantitative Cancer ResearchT32CA260262 · NCI · DARTMOUTH COLLEGE · PI Scott A. Gerber, Diane Ihn Ae Gilbert-Diamond · 2023 to 2026
$789k
NCI NIH HHS P30 CA023108NCI NIH HHS R37 CA263936NCI NIH HHS T32 CA260262
6 · The paper itself

Abstract

purposeOncology outreach is a common strategy for extending cancer care to rural patients. However, a nationwide characterization of the traveling workforce that enables this outreach is lacking, and the extent to which outreach reduces travel burden for rural patients is unknown.

methodsThis cross-sectional study analyzed a rural (nonurban) subset of a 100% fee-for-service sample of 355,139 Medicare beneficiaries with incident breast, colorectal, and lung cancers. Surgical, medical, and radiation oncologists were linked to patients using Part B claims, and traveling oncologists were identified by observing hospital service area (HSA) transition patterns. We defined oncology outreach as the provision of cancer care by a traveling oncologist outside of their primary HSA. We used hierarchical gamma regression models to examine the separate associations between patient receipt of oncology outreach and one-way patient travel times to chemotherapy, radiotherapy, and surgery.

resultsOn average, 9,935 of 39,960 oncologists conducted annual outreach, where 57.8% traveled with low frequency (0-1 outreach visits/mo), 21.1% with medium frequency (1-3 outreach visits/mo), and 21.1% with high frequency (>3 outreach visits/mo). Oncologists provided surgery, radiotherapy, and chemotherapy to 51,715, 27,120, and 5,874 rural beneficiaries, respectively, of whom 2.5%, 6.9%, and 3.6% received oncology outreach. Rural patients who received oncology outreach traveled 16% (95% CI, 11 to 21) and 11% (95% CI, 9 to 13) less minutes to chemotherapy and radiotherapy than those who did not receive oncology outreach, corresponding to expected one-way savings of 15.9 (95% CI, 15.5 to 16.4) and 11.9 (95% CI, 11.7 to 12.2) minutes, respectively.

conclusionOur study introduces a novel claims-based approach for tracking the nationwide traveling oncology workforce and supports oncology outreach as an effective means for improving rural access to cancer care.

Indexed as

TravelAgedCross-Sectional StudiesFemaleHumansMaleMedical OncologyNeoplasmsRural PopulationUnited States

Identifiers

PMID38386962
PMCPMC11620285

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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.