Related Experiment Video For Affordable Care Act (ACA)
Updated: Jan 23, 2026

Culture and Assay of Large-Scale Mixed-Stage Caenorhabditis elegans Populations
Published on: May 5, 2021
Affordable Care Act and cancer stage at diagnosis in an underserved population
Yan Lu1, Bradford E Jackson2, Aaron W Gehr1
1JPS Center for Outcomes Research, JPS Health Network, 1500 S. Main Street, Fort Worth, TX 76104, United States of America.
Abstract:
The Patient Protection and Affordable Care Act (ACA) has increased insurance coverage among underserved individuals, but the effect of ACA on cancer diagnosis is currently debated, particularly in Medicaid non-expansion states. Therefore, we aimed to assess the effect of ACA implementation on stage at diagnosis among underserved cancer patients in Texas, a Medicaid non-expansion state. We used data from the institutional registry of the JPS Center for Cancer Care, which serves an urban population of underserved cancer patients. Eligible individuals were aged 18 to 64 years and diagnosed with a first primary invasive solid tumor between 2008 and 2015. We used a natural experiment framework and interrupted time-series analysis to assess level (i.e. immediate) and slope (over time) changes in insurance coverage and cancer stage at diagnosis between pre- and post-ACA periods. Our study population comprised 4808 underserved cancer patients, of whom 51% were racial/ethnic minorities. The prevalence of uninsured cancer patients did not immediately change after ACA implementation but modestly decreased over time (PR = 0.94; 95% CL: 0.90, 0.98). The prevalence of early- and advanced-stage diagnosis did not appreciably change overall or when stratified by screen-detectable cancers. Our results suggest that ACA implementation decreased the prevalence of uninsured cancer patients but had little effect on cancer stage at diagnosis in an underserved population. Given that Texas is a Medicaid non-expansion state, Medicaid expansion and alternative approaches may need to be further explored to improve earlier cancer diagnosis among underserved individuals.
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