Remaining Uninsured in California under the Affordable Care Act: Regional and County Estimates
UC Berkeley Center for Labor Research and Education
UCLA Center for Health Policy Research
The Affordable Care Act (ACA) will signiﬁcantly expand access to affordable health coverage in California, increasing the share of insured non-elderly Californians to nearly 90 percent. An estimated 3 to 4 million Californians are predicted to remain uninsured in 2019, depending on the extent of outreach and enrollment activities and ease of enrollment and retention. Of those who are predicted to remain uninsured, slightly more than 1 million will not be eligible for coverage options under the ACA due to immigration status. An estimated 800,000 to 1.2 million will be eligible for Medi-Cal or Healthy Families but not enrolled, and 400,000 to 800,000 will be eligible for subsidies in the California Health Beneﬁt Exchange but not enrolled. Another 900,000 will be eligible for the Exchange without subsidies (See Nine Out of Ten Non-Elderly Californians Will Be Insured When the Affordable Care Act is Fully Implemented).
Nearly one-third (32.2 percent) of the remaining uninsured are predicted to reside in Los Angeles County, and a similar share (30.7 percent) in other Southern California counties under the base scenario (Exhibit 1). Focused efforts on these two regions alone could reduce the number of uninsured in the state by 580,000, more than half of that in Los Angeles County. Intensive outreach strategies could be expected to increase the number of people with health coverage in the San Joaquin Valley by 110,000 and by an equal amount in the Greater Bay Area.
Strategies to reduce the number of remaining uninsured following implementation of the ACA include simpliﬁed enrollment and re-determination systems, the use of presumptive eligibility and pre-enrollment of individuals in other state health and social service programs, language appropriate materials and outreach, and use of institutional connections to inform and enroll individuals who lose coverage due to life transitions.
Data Sources and Methodology
We used the California Simulation of Insurance Markets (CalSIM) model, version 1.7, to predict changes in health coverage in California under the ACA. The model is designed to estimate the impacts of various elements of the ACA on employer decisions to offer insurance coverage and individual decisions to obtain coverage in California. For further information on the CalSIM methodology, please visit http://www.healthpolicy.ucla.edu/pubs/files/calsim_methods.pdf.
About the Authors
Ken Jacobs is the chair of the University of California, Berkeley, Center for Labor Research and Education. Dave Graham-Squire is a research associate at the University of California, Berkeley, Center for Labor Research and Education. Gerald F. Kominski is the director of the UCLA Center for Health Policy Research and a professor at the UCLA Fielding School of Public Health. Dylan H. Roby is the director of the Health Economics and Evaluation Research Program at the UCLA Center for Health Policy Research and an assistant professor at the UCLA Fielding School of Public Health. Nadereh Pourat is the director of research at the UCLA Center for Health Policy Research and a professor at the UCLA Fielding School of Public Health. Christina M. Kinane is a research associate/project manager at the UCLA Center for Health Policy Research. Greg Watson is a data analyst at the UCLA Center for Health Policy Research. Daphna Gans is a research scientist at the UCLA Center for Health Policy Research. Jack Needleman is a professor at the UCLA Fielding School of Public Health.
We would like to thank Peter Lee, Katie Marcellus, and Laurel Lucia for their helpful comments. Funding for this research was provided by the California Health Beneﬁt Exchange and the Blue Shield of California Foundation. The California Simulation of Insurance Markets (CalSIM) model was developed with the generous support of the California Endowment.