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Session: ePoster Monitor 6-Rectal Cancer 2

eP360 - The Effect of Household Income on Rectal Cancer Patient Characteristics, Treatment, and Outcomes from 2010-2020

Sunday, June 2, 2024
11:15 AM – 11:20 AM ET, USA
Location: Baltimore Convention Center, Room 318-320

    ePoster Presenter(s)

  • Matthew C. Moccia, MD

    Resident
    Cooper University Healthcare
    Cooper Medical School of Rowan University
    Philadelphia, PA, United States

    All of the relevant financial relationships listed below have been mitigated.
    This individual has no financial relationships with ineligible companies.

    • Author(s)

  • HJ

    Hansa Joshi, MD

    Resident Physician
    Cooper University Hospital
    Camden, New Jersey, United States

    Disclosure information not submitted.

  • ZS

    Zena Saleh, MD

    Resident
    Cooper University Hospital
    Camden, New Jersey, United States

    Disclosure information not submitted.

  • YG

    Yazid K. Ghanem, MD, MCh

    Resident Physician
    Cooper University Hospital
    Camden, New Jersey, United States

    Disclosure information not submitted.

    • Senior Author(s)

  • SM

    Steven J. McClane, MD

    Division Head of Colorectal Surgery, Cooper University Hospital
    Cooper University Hospital
    Haddonfield, New Jersey, United States

    Disclosure information not submitted.

Purpose/Background: Rectal cancer affects more than 40,000 adults in the United States each year. There is a paucity of recent literature investigating the effect of income level on the treatment and overall survival of patients with rectal cancer. Herein, we aim to compare patient and clinicopathologic characteristics of rectal cancer based on income classification using a national database.Methods/Interventions: We included all cases of rectal cancer recorded in the Rectal Cancer Participant User File of the National Cancer Database (NCDB) from 2010-2020. We utilized the Median Income Quartiles 2016-2020, which is derived from 2020 American Community Survey data adjusting for 2020 inflation, to define our income levels. The two lower quartiles were combined to create a lower income group, with the upper two quartiles creating the higher income group. Due to the large sample size of this data set, p values were not included.Results/Outcomes: The total cohort after excluding those with missing data included 201,329 patients, with 116,843 and 84,486 in the higher and lower income groups, respectively. Patients in the lower income group were more often black (17% vs 6%), lived farther from the nearest hospital (33.5 miles vs 25.7 miles) despite being more likely to live in urban areas (25% vs 7%), had lower levels of private insurance coverage (36% vs 49%), and more often came from areas where greater than 17.5% of the population had no high school diploma (44% vs 8%). Interestingly, there was no appreciable difference in stage, Charleson-Deyo score, length of stay, regional nodal status, or metastasis at diagnosis. Despite this, lower income patients underwent more APRs (17% vs 14%), were overall less likely to have a minimally invasive operation (52% vs 58%), and had a higher overall last-contact mortality (41% vs 35%).Conclusion/

Discussion: Patient socioeconomic status, of which income is one measure, affects patient treatment and outcomes. Clinicians should be aware that lower income patients are often faced with unique challenges that impact care delivery and act accordingly.NCDB Income Data FlowsheetFlowsheet of patients from the NCDB included in this study