» Articles » PMID: 33201532

Relationship Between Insurance Status and Outcomes for Patients with Breast Cancer in Missouri

Overview
Journal Cancer
Publisher Wiley
Specialty Oncology
Date 2020 Nov 17
PMID 33201532
Citations 20
Authors
Affiliations
Soon will be listed here.
Abstract

Background: The cancer stage at diagnosis, treatment delays, and breast cancer mortality vary with insurance status.

Methods: Using the Missouri Cancer Registry, this analysis included 31,485 women diagnosed with invasive breast cancer from January 1, 2007, to December 31, 2015. Odds ratios (ORs) of a late-stage (stage III or IV) diagnosis and a treatment delay (>60 days after the diagnosis) were calculated with logistic regression. The hazard ratio (HR) of breast cancer mortality was calculated with Cox proportional hazards regression. Mediation analysis was used to quantify the individual contributions of each covariate to mortality.

Results: The OR of a late-stage diagnosis was higher for patients with Medicaid (OR, 1.72; 95% confidence interval [CI], 1.56-1.91) or no insurance (OR, 2.30; 95% CI, 1.91-2.78) in comparison with privately insured patients. Medicare (OR, 1.21; 95% CI, 1.10-1.37), Medicaid (OR, 1.60; 95% CI, 1.37-1.85), and uninsured patients (OR, 1.58; 95% CI, 1.18-2.12) had higher odds of a treatment delay. The HR of breast cancer-specific mortality was significantly increased in the groups with public insurance or no insurance and decreased after sequential adjustments for sociodemographic factors (HR, 2.39; 95% CI, 1.96-2.91), tumor characteristics (HR, 1.28; 95% CI, 1.05-1.56), and treatment (HR, 1.23; 95% CI, 1.01-1.50). Late-stage diagnoses accounted for 72.5% of breast cancer mortality in the uninsured.

Conclusions: Compared with the privately insured, women with public or no insurance had a higher risk for advanced breast cancer, a >60-day treatment delay, and death from breast cancer. Particularly for the uninsured, Medicaid expansion and increased funding for education and screening programs could decrease breast cancer disparities.

Citing Articles

Factors associated with locoregional recurrence after neoadjuvant chemotherapy for breast cancer in a safety-net medical center.

Brabender D, Hossino D, Kim S, Jayich M, Polyakov L, Gomez D Breast Cancer Res Treat. 2025; .

PMID: 40035975 DOI: 10.1007/s10549-025-07668-9.


Sociodemographic Disparities in Rectal Cancer Outcomes within Academic Cancer Centers.

Kim S, Shen C, El Moheb M, Cummins K, Ruff S, Witt R Ann Surg Oncol. 2025; .

PMID: 40025321 DOI: 10.1245/s10434-025-17085-3.


An innovative approach to the multidisciplinary treatment of uninsured breast cancer patients.

Nodora J, Gilbert J, Martinez M, Arslan W, Reyes T, Dover J Cancer Causes Control. 2024; .

PMID: 39589718 DOI: 10.1007/s10552-024-01935-8.


Impact of Structural Racism and Social Determinants of Health on Disparities in Breast Cancer Mortality.

Falcone M, Salhia B, Halbert C, Roussos Torres E, Stewart D, Stern M Cancer Res. 2024; 84(23):3924-3935.

PMID: 39356624 PMC: 11611670. DOI: 10.1158/0008-5472.CAN-24-1359.


Breast Radiation Therapy Survivorship and Cancer Support Groups: an Opportunity for Community Engagement and Education Through the Addressing Breast Cancer Dermatologic Side Effects (ABCDEs) Program.

Veluri S, Park J, Anderson C, Asper J, Walsh M, Bonnen M J Cancer Educ. 2024; 40(1):93-101.

PMID: 39069600 DOI: 10.1007/s13187-024-02477-y.


References
1.
McLaughlin J, Anderson R, Ferketich A, Seiber E, Balkrishnan R, Paskett E . Effect on survival of longer intervals between confirmed diagnosis and treatment initiation among low-income women with breast cancer. J Clin Oncol. 2012; 30(36):4493-500. PMC: 3518728. DOI: 10.1200/JCO.2012.39.7695. View

2.
Newman L . Breast cancer in African-American women. Oncologist. 2005; 10(1):1-14. DOI: 10.1634/theoncologist.10-1-1. View

3.
Takvorian S, Oganisian A, Mamtani R, Mitra N, Shulman L, Bekelman J . Association of Medicaid Expansion Under the Affordable Care Act With Insurance Status, Cancer Stage, and Timely Treatment Among Patients With Breast, Colon, and Lung Cancer. JAMA Netw Open. 2020; 3(2):e1921653. DOI: 10.1001/jamanetworkopen.2019.21653. View

4.
Schueler K, Chu P, Smith-Bindman R . Factors associated with mammography utilization: a systematic quantitative review of the literature. J Womens Health (Larchmt). 2008; 17(9):1477-98. DOI: 10.1089/jwh.2007.0603. View

5.
Samiian L, Sharma P, van den Bruele A, Smotherman C, Vincent M, Crandall M . The Effect of Insurance and Race on Breast Cancer Tumor Biology and Short-Term Outcomes. Am Surg. 2018; 84(7):1223-1228. View