September Timothy D. McBride, PhD Washington University in St. Louis Brown School. RUPRI Center for Rural Health Policy Analysis
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1 September 2015 Timothy D. McBride, PhD Washington University in St. Louis Brown School
2 Background Overall Impact of ACA Impact of ACA in Rural Areas Marketplaces Discussion/Implications
3 Source: Census Bureau (2015).
4 Source: Census Bureau (2015).
5 SOURCE: Michael Karpman QuickTake: Thirty-Six Percent Drop in Uninsurance Rate for Adults in Rural Areas Narrows Rural-Urban Coverage Gap, Urban Institute, Washington DC, February 2015.
6 SOURCE: Michael Karpman QuickTake: Thirty-Six Percent Drop in Uninsurance Rate for Adults in Rural Areas Narrows Rural-Urban Coverage Gap, Urban Institute, Washington DC, February 2015.
7 Expansion states 40% drop (from 18.4% a drop of 7.4 percentage points) Non-expansion states 29% drop (from23.4%, drop of 6.9 percentage points) Source: ASPE, Uninsured Change Report, March 2015
8 Medicaid and CHIP enrollment growth (Sept Jan. 2015) 26% growth in Medicaid Expansion States 8% growth in non-expansion states Source: ASPE, Uninsured Change Report, March 2015
9 Analysis by Rural Policy Research Institute (RUPRI) Health Policy Center Based on data from range of sources: HHS/Assistant Secretary of Planning and Evaluation (ASPE) Including enrollment data for federally-facilitated marketplaces (FFMs) State level data compiled by RUPRI Medicaid & CHIP enrollment from CMS Estimates of uninsured from Census Bureau Supplemented by data from Kaiser Family Foundation
10 70% 60% 55.9% 59.6% 51.4% 50% 43.2% 45.4% 47.8% 40% 30% 20% 10% 0% 50 and below (n=106) (n=99) (n=127) (n=40) (n=24) 1001 and above (n=15) Rating Area Population Density (persons per square mile)
11
12 50% 47.5% 45.8% 40% 38.9% 33.9% 38.0% 37.3% 30% 20% 10% 0% Medicaid Expansion States Non-Medicaid Expansion States Metropolitan Non-Metropolitan Total
13 Distribution of Rating Areas by Change in Number of Firms, Change in Number of Firms Number of rating areas Percent of rating areas % % % % % % % % % TOTAL % Data for 500 rating areas of 2014 shown. Colorado collapsed 4 of its 2014 RAs to 2 in 2015; data were unavailable for Hawaii. In 2015, good news on plan choice number of firms decreased in only 33 rating areas (about 6% of all rating areas) vast majority of rating areas (74%) gained at least one firm.
14 Premium changes relatively modest from 2014 to 2015 Increase of 6.7% in Federally-Facilitated Marketplaces (FFMs) Compared to just 1.4% in State-Based Marketplaces (SBMs). In cost-of-living adjusted premiums Smaller changes in 2 nd lowest silver plan Premium increases negatively correlated with firms entering the market between 2014 and Premium Changes by Marketplace Type Average adjusted premium change Average 2 nd -lowest silver plan premium change Federally-facilitated Marketplaces (FFMs) +6.7% +4.2% State based marketplaces (SBMs) +1.4% -0.9%
15 Measure States Above Median Population Density States Below Median Population Density N=25 N=25 Average number of firms Average second-lowest silver premium $ $ Average second-lowest silver premium increase 1.1% 2.1% Estimated change in uninsured rate, HIM eligible with possible subsidy Estimated change in uninsured rate, HIM eligible without subsidy Enrollment rate as a percent of the "potential market" -59.1% -46.7% -6.4% -5.4% 42.6% 33.9%
16 Robustness Measure States Operating States Operating SBMs FFMs/PMs N=13 N=37 Average number of firms Average second-lowest silver premium $ $ Average second-lowest silver premium increase -1.1% 2.5% Estimated change in uninsured rate, HIM eligible with possible subsidy Estimated change in uninsured rate, HIM eligible without subsidy Enrollment rate as a percent of the "potential market" -59.9% -50.7% -11.4% -4.0% 39.2% 37.9%
17 Overall the ACA has contributed to an historic drop in the uninsured rate so far There appears to be some differences in effects of ACA by urban and rural Overall, people living in metropolitan areas are more likely to enroll in HIMs than are people in non-metropolitan areas There is considerable variation in the estimated rates of enrollment across the U.S. Additional outreach efforts should be tailored to rural residents in specific states based upon these state-level enrollment data.
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