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Showing content from https://pubmed.ncbi.nlm.nih.gov/27859019/ below:

The impact of health insurance on cancer care in disadvantaged communities

. 2017 Apr 1;123(7):1219-1227. doi: 10.1002/cncr.30431. Epub 2016 Nov 14. The impact of health insurance on cancer care in disadvantaged communities

Affiliations

¹ Center for Healthcare Outcomes and Policy, University of Michigan, Ann Arbor, Michigan.
² Department of Surgery, Mayo Clinic, Rochester, Minnesota.
³ Department of Surgery, Dartmouth-Hitchcock Medical Center, Lebanon, New Hampshire.

PMID: 27859019
PMCID: PMC5360496
DOI: 10.1002/cncr.30431

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The impact of health insurance on cancer care in disadvantaged communities

Zaid M Abdelsattar et al. Cancer. 2017.

. 2017 Apr 1;123(7):1219-1227. doi: 10.1002/cncr.30431. Epub 2016 Nov 14. Affiliations

¹ Center for Healthcare Outcomes and Policy, University of Michigan, Ann Arbor, Michigan.
² Department of Surgery, Mayo Clinic, Rochester, Minnesota.
³ Department of Surgery, Dartmouth-Hitchcock Medical Center, Lebanon, New Hampshire.

PMID: 27859019
PMCID: PMC5360496
DOI: 10.1002/cncr.30431

Item in Clipboard

Abstract

Background: Individuals from disadvantaged communities are among the millions of uninsured Americans gaining insurance under the Affordable Care Act. The extent to which health insurance can mitigate the effects of the social determinants of health on cancer care is unknown.

Methods: This study linked the Surveillance, Epidemiology, and End Results registries to US Census data to study patients diagnosed with the 4 leading causes of cancer deaths between 2007 and 2011. A county-level social determinant score was developed with 5 measures of wealth, education, and employment. Patients were stratified into quintiles, with the lowest quintile representing the most disadvantaged communities. Logistic regression and Cox proportional hazards models were used to estimate associations and cancer-specific survival.

Results: A total of 364,507 patients aged 18 to 64 years were identified (134,105 with breast cancer, 106,914 with prostate cancer, 62,606 with lung cancer, and 60,882 with colorectal cancer). Overall, patients from the most disadvantaged communities (median household income, $42,885; patients below the poverty level, 22%; patients completing college, 17%) were more likely to present with distant disease (odds ratio, 1.6; P < .001) and were less likely to receive cancer-directed surgery (odds ratio, 0.8; P < .001) than the least disadvantaged communities (median income, $78,249; patients below the poverty level, 9%; patients completing college, 42%). The differences persisted across quintiles regardless of the insurance status. The effect of having insurance on cancer-specific survival was more pronounced in disadvantaged communities (relative benefit at 3 years, 40% vs 31%). However, it did not fully mitigate the effect of social determinants on mortality (hazard ratio, 0.75 vs 0.68; P < .001).

Conclusions: Cancer patients from disadvantaged communities benefit most from health insurance, and there is a reduction in disparities in outcome. However, the gap produced by social determinants of health cannot be bridged by insurance alone. Cancer 2017;123:1219-1227. © 2016 American Cancer Society.

Keywords: access; cancer; insurance; outcomes; social determinants.

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Conflict of interest statement

Conflict of Interest Disclosure: Nothing to disclose

Figures
FIGURE 1

Map of the United States…

FIGURE 1

Map of the United States showing the geographic distribution of the social determinants…

FIGURE 1

Map of the United States showing the geographic distribution of the social determinants quintiles across communities within the 18 SEER regions. Darker colors correspond to communities with greater social disadvantage.

FIGURE 2

Kaplan-Meier curves for cancer specific…

FIGURE 2

Kaplan-Meier curves for cancer specific survival by insurance status for patients living in…

FIGURE 2

Kaplan-Meier curves for cancer specific survival by insurance status for patients living in the most disadvantaged communities (A), compared to patients living in the least disadvantaged communities (B). Note that insured patients in A, have worse survival than insured patients in B. However, the relative survival benefit from health insurance at 3 years is greater for patients from disadvantaged communities compared to those less disadvantaged (40% vs. 31%).