ArticleHealth services research2023
Disparities in geospatial patterns of cancer care within urban counties and structural inequities in access to oncology care.
Article in Health services research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled 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.
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.
Who cites it
9 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Structural racism as a leading cause of racial disparities in breast cancer quality of care outcomes: a systematic review.Frontiers in oncology · 2025Pooled it
- Geospatial heterogeneity of hotspots for incidence and late-stage diagnosis of breast, colorectal, and lung cancer.Cancer causes & control : CCC · 2026Article
- Geographic disparities in access to oncologists and association with cancer outcomes in the United States.Journal of cancer policy · 2026Article
- Missingness in the National Cancer Database: A Novel Surrogate for Hepatobiliary Cancer Outcomes.Annals of surgical oncology · 2026Article
- A Geospatial Analysis of the Lung Cancer Burden in Philadelphia, Using Pennsylvania Cancer Registry Data from 2008-2017.International journal of environmental research and public health · 2025Article
- Enhancing neuro-oncology care through equity-driven applications of artificial intelligence.Neuro-oncology · 2024Review
- Disparities in geospatial patterns of cancer care within urban counties and structural inequities in access to oncology care.Health services research · 2023Article
- The RWJF Health Policy Research Scholars: Interdisciplinary leaders advancing health equity.Health services research · 2023Article
- Extent and Mitigation of Financial Toxicity of Immune Checkpoint Inhibitors for the Treatment of Advanced Hepatocellular Carcinoma.Cancer control : journal of the Moffitt Cancer CenterReview
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
objectiveTo examine geospatial patterns of cancer care utilization across diverse populations in New Jersey-a state where most residents live in urban areas. DATA SOURCES/STUDY
settingWe used data from the New Jersey State Cancer Registry from 2012 to 2014. STUDY
designWe examined the location of cancer treatment among patients 20-65 years of age diagnosed with breast, colorectal, or invasive cervical cancer and investigated differences in geospatial patterns of care by individual and area-level (e.g., census tract-level) characteristics. DATA COLLECTION/EXTRACTION
methodsMultivariate generalized estimating equation models were used to determine factors associated with receiving cancer treatment within residential counties, residential hospital service areas, and in-state (versus out-of-state) care. PRINCIPAL
findingsWe observed significant differences in geospatial patterns of cancer treatment by race/ethnicity, insurance type, and area-level factors. Even after adjusting for tumor characteristics, insurance type, and other demographic factors, non-Hispanic Black patients had a 5.6% higher likelihood of receiving care within their own residential county compared to non-Hispanic White patients (95% CI: 2.80-8.41). Patients insured with Medicaid and those without insurance had higher likelihoods of receiving care within their residential county compared to privately insured individuals. Patients living in census tracts with the highest quintile of social vulnerability were 4.6% more likely to receive treatment within their residential county (95% CI: 0.00-9.30) and were 2.7% less likely to seek out-of-state care (95% CI: -4.85 to -0.61).
conclusionsUrban populations are not homogenous in their geospatial patterns of cancer care utilization, and individuals living in areas with greater social vulnerability may have limited opportunities to access care outside of their immediate residential county. Geographically tailored efforts, along with socioculturally tailored efforts, are needed to help improve equity in cancer care access.
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Registered trials
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