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Book
Distribution of Public Spending for Health Care in the United States on the Eve of Health Reform
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Year: 2017 Publisher: National Bureau of Economic Research

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Digital
Does Prescription Drug Adherence Reduce Hospitalizations and Costs?
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Year: 2010 Publisher: Cambridge, Mass National Bureau of Economic Research

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We estimate the impact of diabetic drug adherence on hospitalizations, ER visits, and hospital costs, using insurance claims from MarketScan® employer data. However, it is often difficult to measure the impact of drug adherence on hospitalizations since both adherence and hospitalizations may be correlated with unobservable patient severity. We control for such unobservables using propensity score methods and instrumental variables for adherence such as drug coinsurance levels and direct-to- consumer-advertising. We find a significant bias due to unobservable severity in that patients with more severe health are more apt to comply with medications. Thus, the relationship between adherence and hospitalization will be underestimated if one does not control for unobservable severity. Overall, we find that increasing diabetic drug adherence from 50% to 100% reduced the hospitalization rate by 23.3% (p=0.02) from 15% to 11.5%. ER visits are reduces by 46.2% (p=.04) from 17.3% to 9.3%. While such an increase in adherence increases diabetic drug spending by $776 a year per diabetic, the annual cost savings for averted hospitalizations are $886 per diabetic, a cost offset of $110 (p=0.02), or $1.14 per $1 spent on drugs.


Digital
The Distribution of Public Spending for Health Care in the United States on the Eve of Health Reform
Authors: --- ---
Year: 2017 Publisher: Cambridge, Mass. National Bureau of Economic Research

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Abstract

U.S. health care spending in 2012 totaled $2.8 trillion or 17.2 percent of gross domestic product. Given the magnitude of health care spending, the large public sector role in health care, and the reforms being implemented under the Patient Protection and Affordable Care Act (ACA), we believe it useful to examine several basic questions: What was the public share of national spending on the eve of reform? How has the public share evolved over time? And how are the benefits of public spending on health care distributed within the population by age, poverty level, insurance coverage, health status, and ACA-relevant subgroups? The questions we pose, while basic, cannot be answered with commonly-available statistics due to the sheer complexity of health care financing in the U.S. The objective of this paper is to provide answers by combining aggregate measures from the National Health Expenditure Accounts with micro-data from the Medical Expenditure Panel Survey.


Book
Out-of-pocket expenditures on health care among the nonelderly population, 2004
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Year: 2007 Publisher: [Rockville, Md.] : Medical Expenditure Panel Survey, Agency for Healthcare Research and Quality,

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Book
Out-of-pocket expenditures on health care and insurance premiums among the nonelderly population, 2003
Authors: --- ---
Year: 2006 Publisher: [Rockville, Md.] : Medical Expenditure Panel Survey, Agency for Healthcare Research and Quality,

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Book
The Distribution of Public Spending for Health Care in the United States on the Eve of Health Reform
Authors: --- --- ---
Year: 2017 Publisher: Cambridge, Mass. National Bureau of Economic Research

Loading...
Export citation

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Bookmark

Abstract

U.S. health care spending in 2012 totaled $2.8 trillion or 17.2 percent of gross domestic product. Given the magnitude of health care spending, the large public sector role in health care, and the reforms being implemented under the Patient Protection and Affordable Care Act (ACA), we believe it useful to examine several basic questions: What was the public share of national spending on the eve of reform? How has the public share evolved over time? And how are the benefits of public spending on health care distributed within the population by age, poverty level, insurance coverage, health status, and ACA-relevant subgroups? The questions we pose, while basic, cannot be answered with commonly-available statistics due to the sheer complexity of health care financing in the U.S. The objective of this paper is to provide answers by combining aggregate measures from the National Health Expenditure Accounts with micro-data from the Medical Expenditure Panel Survey.

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Book
Out-of-pocket expenditures on health care and insurance premiums among the elderly population, 2003
Authors: --- ---
Year: 2006 Publisher: [Rockville, Md.] : Medical Expenditure Panel Survey, Agency for Healthcare Research and Quality,

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Abstract


Book
Does Prescription Drug Adherence Reduce Hospitalizations and Costs?
Authors: --- --- ---
Year: 2010 Publisher: Cambridge, Mass. National Bureau of Economic Research

Loading...
Export citation

Choose an application

Bookmark

Abstract

We estimate the impact of diabetic drug adherence on hospitalizations, ER visits, and hospital costs, using insurance claims from MarketScan® employer data. However, it is often difficult to measure the impact of drug adherence on hospitalizations since both adherence and hospitalizations may be correlated with unobservable patient severity. We control for such unobservables using propensity score methods and instrumental variables for adherence such as drug coinsurance levels and direct-to- consumer-advertising. We find a significant bias due to unobservable severity in that patients with more severe health are more apt to comply with medications. Thus, the relationship between adherence and hospitalization will be underestimated if one does not control for unobservable severity. Overall, we find that increasing diabetic drug adherence from 50% to 100% reduced the hospitalization rate by 23.3% (p=0.02) from 15% to 11.5%. ER visits are reduces by 46.2% (p=.04) from 17.3% to 9.3%. While such an increase in adherence increases diabetic drug spending by $776 a year per diabetic, the annual cost savings for averted hospitalizations are $886 per diabetic, a cost offset of $110 (p=0.02), or $1.14 per $1 spent on drugs.

Keywords

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