Evidence map›Paper›PMID 30377204›Full record

ArticleCancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology2019

Evaluating Breast Cancer Care Coordination at a Rural National Cancer Institute Comprehensive Cancer Center Using Network Analysis and Geospatial Methods.

Erika L Moen, Nirav S Kapadia, A James O'Malley, Tracy Onega

Open access · bronzeAbstract readEvaluation Study
In one paragraph

Article in Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
0.3field-weighted citation impact, top 37% 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

11 citing papers in PubMed, 17 citations in OpenAlex.

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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

4 authors at 1 institution in 1 country.

Erika L MoenDepartment of Biomedical Data Science, Geisel School of Medicine at Dartmouth, Lebanon, New Hampshire. Erika.L.Moen@dartmouth.edu.ORCID 0000-0002-9800-8742
Nirav S KapadiaThe Norris Cotton Cancer Center at Dartmouth-Hitchcock Medical Center, Lebanon, New Hampshire.
A James O'MalleyDepartment of Biomedical Data Science, Geisel School of Medicine at Dartmouth, Lebanon, New Hampshire.ORCID 0000-0002-5553-8874
Tracy OnegaDepartment of Biomedical Data Science, Geisel School of Medicine at Dartmouth, Lebanon, New Hampshire.ORCID 0000-0002-1633-3040
Dartmouth College · US

Funding

Translational Engineering in Cancer (TEC)P30CA023108 · NCI · DARTMOUTH COLLEGE · PI Steven D Leach · 1985 to 2026
$91.3M
UNDERSTANDING AND IMPROVING EPISODE-BASED HOSPITAL CAREP01AG019783 · NIA · DARTMOUTH COLLEGE · PI Alistair James O'MALLEY · 2001 to 2026
$52.9M
Relation Between In-utero Vitamin D and Immune Function in Early Childhood P20GM104416 · NIGMS · DARTMOUTH COLLEGE · PI CHRISTENSEN, BROCK CLARKE · 2013 to 2022
$23.7M
Automated Delineation of Cancer Service AreasR21CA212687 · NCI · DARTMOUTH COLLEGE · PI ONEGA, TRACY, WANG, FAHUI · 2017 to 2018
$392k
NCI NIH HHS P30 CA023108NCI NIH HHS R21 CA212687NIA NIH HHS P01 AG019783NIGMS NIH HHS P20 GM104416
6 · The paper itself

Abstract

backgroundVariation in cancer care coordination may affect care quality and patient outcomes. We sought to characterize the impact of geographic access to and dispersion of cancer care providers on variation in care coordination.

methodsUsing electronic health record data from 2,507 women diagnosed with breast cancer at a National Cancer Institute Comprehensive Cancer Center from April 2011 to September 2015, a breast cancer patient-sharing physician network was constructed. Patient "care networks" represent the subnetworks of physicians with whom the focal patient had a clinical encounter. Patient care networks were analyzed to generate two measures of care coordination, care density (ratio of observed vs. potential connections between physicians), and clustering (extent to which physicians form connected triangles).

resultsThe breast cancer physician network included 667 physicians. On average, the physicians shared patients with 12 other physicians. Patients saw an average of 8 physicians during active treatment. In multivariable models adjusting for patient sociodemographic and clinical characteristics, we observed that greater travel burden (>2 hours) and lower geographic dispersion were associated with higher care density (

conclusionsVariation in network-based measures of care coordination is partially explained by patient travel burden and geographic dispersion of care. IMPACT: Improved understanding of factors driving variation in patient care networks may identify patients at risk of receiving poorly coordinated cancer care.

Indexed as

Models, StatisticalQuality of Health CareAgedBreast NeoplasmsCancer Care FacilitiesCommunity NetworksDelivery of Health CareFemaleFollow-Up StudiesHumansMiddle AgedNational Cancer Institute (U.S.)Patient CarePractice Patterns, Physicians'PrognosisReferral and Consultation

Identifiers

PMID30377204
PMCPMC6401233
OpenAlexW2898709309

What OpenQuestion holds

Textmetadata
LicenceTDM
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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.