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Dive into the research topics where Steven D. Pizer is active.

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Featured researches published by Steven D. Pizer.


Journal of Health Economics | 2011

Time is Money: Outpatient Waiting Times and Health Insurance Choices of Elderly Veterans in the United States

Steven D. Pizer; Julia C. Prentice

Growth in the number of days between an appointment request and the actual appointment reduces demand. Although such waiting times are relatively low in the US, current policy initiatives could cause them to increase. We estimate multiple-equation models of physician utilization and insurance plan choice for Medicare-eligible veterans. We find that a 10% increase in VA waiting times increases demand for Medigap insurance by 5%, implying that a representative patient would be indifferent between waiting an average of 5 more days for VA appointments and paying


Implementation Science | 2013

Directed funding to address under-provision of treatment for substance use disorders: a quantitative study

Austin B. Frakt; Jodie A. Trafton; Amy Wallace; Matthew Neuman; Steven D. Pizer

300 more in annual premium.


Health Economics | 2017

Myopic and Forward Looking Behavior in Branded Oral Anti‐Diabetic Medication Consumption: An Example from Medicare Part D

Naomi C. Sacks; James F. Burgess; Howard Cabral; Steven D. Pizer

BackgroundSubstance use disorders (SUDs) are a substantial problem in the United States (U.S.), affecting far more people than receive treatment. This is true broadly and within the U.S. military veteran population, which is our focus. To increase funding for treatment, the Veterans Health Administration (VA) has implemented several initiatives over the past decade to direct funds toward SUD treatment, supplementing the unrestricted funds VA medical centers receive. We study the ‘flypaper effect’ or the extent to which these directed funds have actually increased SUD treatment spending.MethodsThe study sample included all VA facilities and used observational data spanning years 2002 to 2010. Data were analyzed with a fixed effects, ordinary least squares specification with monetized workload as the dependent variable and funding dedicated to SUD specialty clinics the key dependent variable, controlling for unrestricted funding.ResultsWe observed different effects of dedicated SUD specialty clinic funding over the period 2002 to 2008 versus 2009 to 2010. In the earlier period, there is no evidence of a significant portion of the dedicated funding sticking to its target. In the later period, a substantial proportion—38% in 2009 and 61% in 2010—of funding dedicated to SUD specialty clinics did translate into increased medical center spending for SUD treatment. In comparison, only five cents of every dollar of unrestricted funding is spent on SUD treatment.ConclusionsRelative to unrestricted funding, dedicated funding for SUD treatment was much more effective in increasing workload, but only in years 2009 and 2010. The differences in those years relative to prior ones may be due to the observed management focus on SUD and SUD-related treatment in the later years. If true, this suggests that in a centrally directed healthcare organization such as the VA, funding dedicated to a service is a necessary, but not sufficient condition for increasing resources expended for that service.


Health Economics | 2008

Predicting risk selection following major changes in medicare

Steven D. Pizer; Austin B. Frakt; Roger Feldman

We evaluate consumption responses to the non-linear Medicare Part D prescription drug benefit. We compare propensity-matched older patients with diabetes and Part D Standard or low-income-subsidy (LIS) coverage. We evaluate monthly adherence to branded oral anti-diabetics, with high end-of-year donut hole prices (>


Archive | 2007

Nothing for Something: Paying Twice for Medicare Drug Benefits

Steven D. Pizer; Austin B. Frakt; Roger Feldman

200) for Standard patients and consistent, low (≤


Archive | 2014

Long-term Sulfonylurea Use Increases Risks among Patients with Type 2 Diabetes

Julia C. Prentice; Paul R. Conlin; David Edelman; Todd A. Lee; Steven D. Pizer

6) prices for LIS. As an additional control, we examine adherence to generic anti-diabetics, with relatively low, consistent prices for Standard patients. If Standard patients are forward looking, they will reduce branded adherence in January, and LIS-Standard differences will be constant through the year. Contrary to this expectation, branded adherence is lower for Standard patients in January and diverges from LIS as the coverage year progresses. Standard-LIS generic adherence differences are minimal. Our findings suggest that seniors with chronic conditions respond myopically to the nonlinear Part D benefit, reducing consumption in response to high deductible, initial coverage and gap prices. Thus, when the gap is fully phased out in 2020, cost-related nonadherence will likely remain in the face of higher spot prices for more costly branded medications. These results contribute to studies of Part D plan choice and medication adherence that suggest that seniors may not make optimal healthcare decisions. Copyright


Archive | 2010

Closing the Medicare Drug Coverage Donut Hole: Which Way is Best?

Roger Feldman; Steven D. Pizer; Austin B. Frakt


Archive | 2009

Uninsured Adults With Chronic Conditions Or Disabilities: Gaps In Public Insurance Programs People who live in the South and have a disability or chronic condition are most at risk for uninsurance.

Steven D. Pizer; Austin B. Frakt; Lisa I. Iezzoni


Archive | 2006

Of all plan types, stand-alone prescription drug plans are the only ones available in large numbers and to all beneficiaries.

Austin B. Frakt; Steven D. Pizer


Archive | 2006

STORMCLOUDS ON THE HORIZON? Predicting Adverse Selection in Medicare Prescription Drug Plans

Steven D. Pizer; Austin B. Frakt; Roger Feldman

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Austin B. Frakt

Government of the United States of America

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Julia C. Prentice

United States Department of Veterans Affairs

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Amy Wallace

United States Department of Veterans Affairs

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James F. Burgess

United States Department of Veterans Affairs

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Jodie A. Trafton

VA Palo Alto Healthcare System

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Matthew Neuman

VA Palo Alto Healthcare System

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