Publications by authors named "Leemore Dafny"

The federal Anti-Kickback Statute prohibits biopharmaceutical manufacturers from directly covering Medicare enrollees' out-of-pocket spending for the drugs they manufacture, but manufacturers may donate to independent patient assistance charities and earmark donations for a condition treated by their drugs. To assess whether this law and its associated regulations prevent manufacturers from profiting from their donations, we analyzed drug spending of more than three million Medicare Advantage enrollees in 2010 and 2017, together with data on conditions and drugs covered by these charities. We found that donations by the leading manufacturer of drugs for each condition were often likely to be profitable, even if relatively few patients were induced to use the manufacturer's drugs as a result.

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Concern about high hospital prices for commercially insured patients has motivated several proposals to regulate these prices. Such proposals often limit regulations to highly concentrated hospital markets. Using a large sample of 2017 US commercial insurance claims, we demonstrate that under the market definition commonly used in these proposals, most high-price hospitals are in markets that would be deemed competitive or "moderately concentrated," using antitrust guidelines.

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There is abundant literature on efforts to reduce opioid prescriptions and misuse, but comparatively little on the treatment provided to people with opioid use disorder (OUD). Using claims data representing 12-15 million nonelderly adults covered through commercial group insurance during the period 2008-17, we explored rates of OUD diagnoses, treatment patterns, and spending. We found three key patterns: The rate of diagnosed OUD nearly doubled during 2008-17, and the distribution has shifted toward older age groups; the likelihood that diagnosed patients will receive any treatment has declined, particularly among those ages forty-five and older, because of a reduction in the use of medication-assisted treatment (MAT) and despite clinical evidence demonstrating its efficacy; and treatment spending is lower for patients who choose MAT.

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Background: The hospital industry has consolidated substantially during the past two decades and at an accelerated pace since 2010. Multiple studies have shown that hospital mergers have led to higher prices for commercially insured patients, but research about effects on quality of care is limited.

Methods: Using Medicare claims and Hospital Compare data from 2007 through 2016 on performance on four measures of quality of care (a composite of clinical-process measures, a composite of patient-experience measures, mortality, and the rate of readmission after discharge) and data on hospital mergers and acquisitions occurring from 2009 through 2013, we conducted difference-in-differences analyses comparing changes in the performance of acquired hospitals from the time before acquisition to the time after acquisition with concurrent changes for control hospitals that did not have a change in ownership.

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Medicare's Hospital Readmissions Reduction Program (HRRP) has been credited with lowering risk-adjusted readmission rates for targeted conditions at general acute care hospitals. However, these reductions appear to be illusory or overstated. This is because a concurrent change in electronic transaction standards allowed hospitals to document a larger number of diagnoses per claim, which had the effect of reducing risk-adjusted patient readmission rates.

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Anecdotal reports and systematic research highlight the prevalence of narrow-network plans on the Affordable Care Act's health insurance Marketplaces. At the same time, Marketplace premiums in the period 2014-16 were much lower than projected by the Congressional Budget Office in 2009. Using detailed data on the breadth of both hospital and physician networks, we studied the prevalence of narrow networks and quantified the association between network breadth and premiums.

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Research shows consolidation in the private health insurance industry leads to premium increases, even though insurers with larger local market shares generally obtain lower prices from health care providers. Additional research is needed to understand how to protect against harms and unlock benefits from scale. Data on enrollment, premiums, and costs of commercial health insurance--by insurer, plan, customer segment, and local market--would help us understand whether, when, and for whom consolidation is harmful or beneficial.

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To gauge the competitiveness of the group health insurance industry, I investigate whether health insurers charge higher premiums, ceteris paribus, to more profitable firms. Such "direct price discrimination" is feasible only in imperfectly competitive settings. Using a proprietary national database of health plans offered by a sample of large, multisite firms from 1998–2005, I find firms with positive profit shocks subsequently face higher premium growth, even for the same health plans.

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Estimated responses to report cards may reflect learning about quality that would have occurred in their absence ("market-based learning"). Using panel data on Medicare HMOs, we examine the relationship between enrollment and quality before and after report cards were mailed to 40 million Medicare beneficiaries in 1999 and 2000. We find consumers learn from both public report cards and market-based sources, with the latter having a larger impact.

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This paper examines hospital responses to changes in diagnosis-specific prices by exploiting a 1988 policy reform that generated large price changes for 43 percent of Medicare admissions. I find hospitals responded primarily by "upcoding" patients to diagnosis codes with the largest price increases. This response was particularly strong among for-profit hospitals.

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