Small-Area Microsimulation to Study Geographic Variation in Coverage Expansions and Access under the Affordable Care Act (2012)

Principal Investigator: John Graves, PhD, Vanderbilt University

A key barrier to planning for, implementing, and monitoring the ACA is the inability to produce reliable state and local estimates of coverage and access to care. This project will address this barrier through the employment of a novel reweighting method leveraging the frequency, detail and statistical power of national surveys to facilitate more precise small area estimates.  Estimates of insurance coverage expansion populations will be linked to estimates of the health care workforce and medical care system capacity to highlight areas with potential access concerns.

Publications

Medicaid and Marketplace Eligibility Changes Will Occur Often in All States; Policy Options Can Ease Impact
(March 2014, Article)

Gaps in Primary Care Physician Capacity Under the Affordable Care Act's Public and Private Coverage Expansions
(November 2013, Presentation)

Understanding State Variation In Health Insurance Dynamics Can Help Tailor Enrollment Strategies For ACA Expansion
(September 2013, Article)

Plano, Texas Vs. Revere, Massachusetts: Sorting Through The Differing Causes and Durations of Uninsurance
(September 2013, HealthAffairs Blog)

Geographic Variation in ACA Coverage Expansion Populations and the Healthcare Workforce
(June 2013, Webinar)

Open Source Code for Estimating Small Area Weights for Federal Survey Data
(2013, Code)

Medicaid, Income, and the ACA
(August 2012, Presentation)

Medicaid Expansion Opt-Outs and Uncompensated Care
(December 2012, Article)