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Multiple studies have shown that high-deductible health plans lower spending levels, however, less is known about whether such plans have an effect on spending growth. We begin with a model of the relationship between levels of insurance coverage and both spending levels and spending growth, highlighting the role of new technology adoption in the latter. Next, we leverage cross-sectional variation in private deductibles across states (and over time) to estimate whether areas with relatively higher deductibles experience lower spending growth. We use publicly available data from the Centers for Medicare and Medicaid Services and the Agency for Healthcare Research and Quality from 2002-2016, a period during which deductibles among privately insured employees more than tripled in magnitude and real spending growth exceeded 40%. Consistent with prior empirical work, we find that current period spending growth is significantly lower in states with higher deductible levels but non-responsive to changes in such levels over time. We observe these relationships in models of both private and total spending (including that on behalf of publicly insured and uninsured individuals), suggestive of potential spillovers. Future work should explore the role of other plan benefit characteristics in explaining spending growth and mechanisms underlying any observed effects.
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Using a combination of subsidized premiums for Marketplace coverage, an individual mandate, and expanded Medicaid eligibility, the Affordable Care Act (ACA) has significantly increased insurance coverage rates. We assessed the relative contributions to insurance changes of these different ACA provisions in the law's first full year, using rating-area level premium data for all 50 states and microdata from the 2012-2014 American Community Survey. We employ a difference-in-difference-in-difference estimation strategy that relies on variation across income groups, areas, and years to causally identify the role of the ACA policy levers. We have four key findings. First, insurance coverage was only moderately responsive to price subsidies, but the subsidies were still large enough to raise coverage by almost one percent of the population; the coverage gains were larger in states that operated their own health insurance exchanges (as opposed to using the federal exchange). Second, the exemptions and tax penalty structure of the individual mandate had little impact on coverage decisions. Third, the law increased Medicaid coverage both among newly eligible populations and those who were previously eligible for Medicaid (the "woodwork" effect), with the latter driven predominantly by states that expanded their programs prior to 2014. Finally, there was no "crowdout" effect of expanded Medicaid on private insurance. Overall, we conclude that exchange premium subsidies produced roughly 40% of the ACA's 2014 coverage gains, and Medicaid the other 60%, of which 2/3 occurred among previously-eligible individuals.
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Research has shown that higher cost-sharing lowers health care spending levels but less is known about whether cost-sharing also affects spending growth. From 2002 to 2016, private insurance deductibles more than tripled in magnitude. We use data from the Centers for Medicare and Medicaid Services and the Agency for Healthcare Research and Quality to estimate whether areas with relatively higher deductibles experienced lower spending growth during this period. We leverage panel variation in private deductibles across states and over time and address the potential endogeneity of deductibles using instrumental variables. We find that spending growth is significantly lower in states with higher average deductibles and observe this relationship with regard to both private insurance benefits and total spending (including Medicare and Medicaid), suggestive of potential spillovers. We hypothesize that the impact on spending growth happens because deductibles affect the diffusion of costly new technology.
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Using premium subsidies for private coverage, an individual mandate, and Medicaid expansion, the Affordable Care Act (ACA) has increased insurance coverage. We provide the first comprehensive assessment of these provisions' effects, using the 2012-2015 American Community Survey and a triple-difference estimation strategy that exploits variation by income, geography, and time. Overall, our model explains 60% of the coverage gains in 2014-2015. We find that coverage was moderately responsive to price subsidies, with larger gains in state-based insurance exchanges than the federal exchange. The individual mandate's exemptions and penalties had little impact on coverage rates. The law increased Medicaid among individuals gaining eligibility under the ACA and among previously-eligible populations ("woodwork effect") even in non-expansion states, with essentially no crowd-out of private insurance. Overall, exchange premium subsidies produced 40% of the coverage gains explained by our ACA policy measures, and Medicaid the other 60%, of which 1/2 occurred among previously-eligible individuals.
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The growth of health care spending has been a longstanding policy concern. Over the years, several innovations have been proposed to lower levels of health care spending; however, their impact has been limited and not sustained over time. Costly new technology, while often an improvement to existing care, has been identified as a principal driver of health care spending growth. Recent literature has shown that high deductible health plans (HDHP) can have an immediate impact on levels of health care spending, but their medium- and long-run effects on spending growth remain unknown. In this paper, we use multiple-employer-group claims data from a large national insurer to (i) study whether HDHPs reduce the growth in spending over four years compared to lower deductible alternatives; and (ii) explore the mechanisms behind any reductions in growth by looking at whether HDHPs reduce the use of low- vs. high-value treatments. We find that HDHPs have a limited effect on spending growth, with a statistically significant reduction observed only for prescription drugs. HDHPs are not associated with significantly lower growth in spending on highly cost-effective medicines in a sample of drugs but do reduce spending growth for less cost-effective drugs.
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