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.
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.
What it found
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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.
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.
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Who cites it
11 citing papers in PubMed, 17 citations in OpenAlex.
- "You're the person for me:" patient perceptions of cancer care team selection and experiences with care coordination within a rural hub-and-spoke health system.Cancer causes & control : CCC · 2026Article
- Summative evaluation of the rural surgical obstetrical networks initiative: Findings from a five year retrospective qualitative study.PloS one · 2026Article
- A Scoping Review of Multilevel Patient-Sharing Network Measures in Health Services Research.Medical care research and review : MCRR · 2025Article
- Rural-Urban Differences in Patient-Sharing by Clinicians Caring for Children with Medical Complexity: Network Analysis of the Pediatric Workforce in Three States.The Journal of pediatrics · 2025Article
- Combining multiple sources of relationships in a network to advance understanding of physicians' beliefs regarding peer-effects.Health services & outcomes research methodology · 2025Article
- Surgeon and Care Team Network Measures and Timely Breast Cancer Treatment.JAMA network open · 2024Article
- Adherence to Quality Indicators for Breast Cancer Management in a Multidisciplinary Training Program.Journal of personalized medicine · 2023Article
- Nationwide changes in radiation oncology travel and location of care before and during the COVID-19 pandemic.Radiation oncology journal · 2023Article
- Association of travel distance, surgical volume, and receipt of adjuvant chemotherapy with survival among patients with resectable lung cancer.JTCVS open · 2023Article
- Evaluation of Physician Network-Based Measures of Care Coordination Using Medicare Patient-Reported Experience Measures.Journal of general internal medicine · 2019Article
- Remoteness from urban centre does not affect gastric cancer outcomes with established care pathway to specialist centre.Canadian journal of surgery. Journal canadien de chirurgieArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 1 institution in 1 country.
Funding
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.
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Registered trials
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.