Understanding Disparities in Receipt of Complex Gastrointestinal Cancer Surgery at a Small Geographic Scale

Author:

Dong Weichuan12,Kucmanic Matthew13,Winter Jordan4,Pronovost Peter5,Rose Johnie126,Kim Uriel1267,Koroukian Siran M.126,Hoehn Richard4

Affiliation:

1. Population Cancer Analytics Shared Resource, Case Comprehensive Cancer Center, Case Western Reserve University, Cleveland, OH

2. Department of Population and Quantitative Health Sciences, Case Western Reserve University School of Medicine, Cleveland, OH

3. Department of Geographical and Sustainability Sciences, University of Iowa, Iowa City, IA

4. Division of Surgical Oncology, University Hospitals, Cleveland, OH

5. Department of Anesthesia and Critical Care Medicine, University Hospitals, Cleveland, OH

6. Center for Community Health Integration, Case Western Reserve University School of Medicine, Cleveland, OH

7. Kellogg School of Management, Northwestern University, Evanston, IL

Abstract

Objective: To define neighborhood-level disparities in the receipt of complex cancer surgery. Background: Little is known about the geographic variation of receipt of surgery among patients with complex gastrointestinal (GI) cancers, especially at a small geographic scale. Methods: This study included individuals diagnosed with 5 invasive, nonmetastatic, complex GI cancers (esophagus, stomach, pancreas, bile ducts, liver) from the Ohio Cancer Incidence Surveillance System during 2009 and 2018. To preserve patient privacy, we combined US census tracts into the smallest geographic areas that included a minimum number of surgery cases (n=11) using the Max-p-regions method and called these new areas “MaxTracts.” Age-adjusted surgery rates were calculated for MaxTracts, and the Hot Spot analysis identified clusters of high and low surgery rates. US Census and CDC PLACES were used to compare neighborhood characteristics between the high- and low-surgery clusters. Results: This study included 33,091 individuals with complex GI cancers located in 1006 MaxTracts throughout Ohio. The proportion in each MaxTract receiving surgery ranged from 20.7% to 92.3% with a median (interquartile range) of 48.9% (42.4–56.3). Low-surgery clusters were mostly in urban cores and the Appalachian region, whereas high-surgery clusters were mostly in suburbs. Low-surgery clusters differed from high-surgery clusters in several ways, including higher rates of poverty (23% vs. 12%), fewer married households (40% vs. 50%), and more tobacco use (25% vs. 19%; all P<0.01). Conclusions: This improved understanding of neighborhood-level variation in receipt of potentially curative surgery will guide future outreach and community-based interventions to reduce treatment disparities. Similar methods can be used to target other treatment phases and other cancers.

Publisher

Ovid Technologies (Wolters Kluwer Health)

Subject

Surgery

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