Evidence map›Paper›PMID 39659048›Full record

ArticleCancer medicine2024

Associations Between Oncology Outreach and Patient-Sharing Measures of Care Coordination.

Bruno T Scodari, Andrew P Schaefer, Nirav S Kapadia, A James O'Malley, Erika L Moen

Abstract read
In one paragraph

Article in Cancer medicine, 2024. 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

5 authors.

Bruno T ScodariDepartment of Biomedical Data Science, Geisel School of Medicine at Dartmouth, Lebanon, New Hampshire, USA.ORCID 0000-0003-3198-0876
Andrew P SchaeferThe Dartmouth Institute for Health Policy and Clinical Practice, Geisel School of Medicine at Dartmouth, Lebanon, New Hampshire, USA.
Nirav S KapadiaThe Dartmouth Institute for Health Policy and Clinical Practice, Geisel School of Medicine at Dartmouth, Lebanon, New Hampshire, USA.
A James O'MalleyDepartment of Biomedical Data Science, Geisel School of Medicine at Dartmouth, Lebanon, New Hampshire, USA.
Erika L MoenDepartment of Biomedical Data Science, Geisel School of Medicine at Dartmouth, Lebanon, New Hampshire, USA.

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 R37CA263936NCI NIH HHS T32 CA260262NCI NIH HHS T32CA260262
6 · The paper itself

Abstract

backgroundOncology outreach is a common strategy for addressing cancer workforce shortages, where traveling oncologists commute across clinical settings to extend their services. Despite its known benefits specifically for rural patients, oncology outreach reallocates physician resources to satellite clinics and may negatively impact the coordination of cancer care.

methodsIn this retrospective study, we identified patients with incident breast, colorectal, and lung cancers from 2016-2019 nationwide Medicare claims and linked them to oncologists using Part B. We considered encounters occurring outside the physician's primary hospital service area as "outreach visits" and calculated the proportion of outreach visits by oncology specialty for contiguous US hospital referral regions (HRRs) using 2016-2017 claims. We constructed a nationwide physician patient-sharing network from 2018-2019 claims and computed median care density-a measure of physician team familiarity-and local transitivity-a measure of physician cohesion/clustering-for each HRR as proxies for care coordination. Generalized linear models were used to explore the associations between oncology outreach and care coordination measures at the HRR level.

resultsWe found that HRRs with high medical oncology outreach were associated with 16% decreases in care density (95% CI: 5-25) and 4% decreases in local transitivity (95% CI: 1-8) compared to HRRs with low medical oncology outreach. HRRs with high radiation and surgical oncology outreach were not associated with network-based measures of care coordination.

conclusionsWhile medical oncology outreach increases access for underserved patient populations, it potentially fragments care delivery across clinical settings. Health systems may consider this trade-off to inform decisions concerning the implementation of outreach programs or policies aimed at hedging against fragmentation in markets with active outreach arrangements.

Indexed as

Medical OncologyMedicareAgedAged, 80 and overBreast NeoplasmsColorectal NeoplasmsFemaleHealth Services AccessibilityHumansLung NeoplasmsMaleNeoplasmsOncologistsReferral and ConsultationRetrospective StudiesUnited Statescare coordinationoncology outreachpatient‐sharing network

Identifiers

PMID39659048
PMCPMC11632124

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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.