Colorectal Cancer Care Among Young Adult Patients After the Dependent Coverage Expansion Under the Affordable Care Act

J Natl Cancer Inst. 2020 Oct 1;112(10):1063-1066. doi: 10.1093/jnci/djz235.

Abstract

The effect of the Dependent Coverage Expansion (DCE) under the Affordable Care Act (ACA) on receipt of colorectal cancer treatment has yet to be determined. We identified newly diagnosed DCE-eligible (aged 19-25 years, n = 1924) and DCE-ineligible (aged 27-34 years, n = 8313) colorectal cancer patients from the National Cancer Database from 2007 to 2013. All statistical tests were two-sided. Post-ACA, there was a statistically significant increase in early-stage diagnosis among DCE-eligible (15 percentage point increase, confidence interval = 9.8, 20.2; P < .001), but not DCE-ineligible (P = .09), patients. DCE-eligible patients resected for IIB-IIIC colorectal cancer were more likely to receive timely adjuvant chemotherapy (hazard ratio = 1.34, 95% confidence interval = 1.05 to 1.71; 7.0 days' decrease in restricted mean time from surgery to chemotherapy, P = .01), with no differences in DCE-ineligible patients (hazard ratio = 1.10, 95% confidence interval = 0.98 to 1.24; 2.1 days' decrease, P = .41) post-ACA. Our findings highlight the role of the ACA in improving access to potentially lifesaving cancer care, including a shift to early-stage diagnosis and more timely receipt of adjuvant chemotherapy.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adult
  • Chemotherapy, Adjuvant / economics
  • Chemotherapy, Adjuvant / statistics & numerical data
  • Colorectal Neoplasms / diagnosis
  • Colorectal Neoplasms / economics*
  • Colorectal Neoplasms / epidemiology
  • Colorectal Neoplasms / therapy*
  • Cytoreduction Surgical Procedures / economics
  • Cytoreduction Surgical Procedures / statistics & numerical data
  • Early Detection of Cancer / economics
  • Early Detection of Cancer / statistics & numerical data
  • Female
  • Humans
  • Male
  • Patient Protection and Affordable Care Act / statistics & numerical data*
  • Proportional Hazards Models
  • United States / epidemiology
  • Young Adult