Recession Contributes To Slowest Annual Rate Of Increase In Health Spending In Five Decades

Office of the Actuary, Centers for Medicare and Medicaid Services , Baltimore, Maryland, USA.
Health Affairs (Impact Factor: 4.97). 01/2011; 30(1):11-22. DOI: 10.1377/hlthaff.2010.1032
Source: PubMed


In 2009, US health care spending grew 4.0 percent--a historically low rate of annual increase--to $2.5 trillion, or $8,086 per person. Despite the slower growth, the share of the gross domestic product devoted to health spending increased to 17.6 percent in 2009 from 16.6 percent in 2008. The growth rate of health spending continued to outpace the growth of the overall economy, which experienced its largest drop since 1938. The recession contributed to slower growth in private health insurance spending and out-of-pocket spending by consumers, as well as a reduction in capital investments by health care providers. The recession also placed increased burdens on households, businesses, and governments, which meant that fewer financial resources were available to pay for health care. Declining federal revenues and strong growth in federal health spending increased the health spending share of total federal revenue from 37.6 percent in 2008 to 54.2 percent in 2009.

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    • "U.S. health care spending has increased 2.4% faster than GDP since 1970 and is expected to exceed $4.3 trillion in 2018 [29]. In 2009, health care spending hit an unprecedented 17.6 percent of GDP [33]. Prescription drug prices have been a key contributor to the rise of health care expenditures [11]. "
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    ABSTRACT: The goal of this study is to examine how four factors - level of competition, therapeutic purpose, age of the drug, and manufacturer play a role in the pricing of brand-name prescription drugs. Understanding how these factors contribute to high drug prices will allow players in this supply chain to negotiate more favorable contract terms. This can be a large benefit to society as this insight can lead to improved efficiency in pricing and increased savings, which can be passed to the consumer.We develop measures for these factors based on publicly available information. Using data on the wholesale prices of prescription drugs, we estimate a model for drug prices based on our measures of competition, therapeutic purpose, age, and manufacturer. Our analysis reveals that these factors are significant in estimating drug prices. We observe that proliferation of dosing levels tends to reduce the prices, therapeutic conditions which are both less common and more life-threatening lead to higher prices, older drugs are less expensive than newer drugs, and some manufacturers set prices systematically different from others even after controlling for other factors. These findings indicate that publicly observable factors can be used to explain drug prices.
    Socio-Economic Planning Sciences 09/2013; 47(3):238–246. DOI:10.1016/j.seps.2012.11.001
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    • "Our results are consistent with other prior studies finding an increased burden on public payers during periods of economic downturn [31-33]. During the most recent recession in 2009, Martin and colleagues found a decrease in private health insurance enrollment, growth in out-of-pocket spending and an increase in per enrollee Medicare spending growth [33]. "
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    ABSTRACT: Background In the U.S., economic conditions are intertwined with labor market decisions, access to health care, health care utilization and health outcomes. The Veterans Affairs (VA) health care system has served as a safety net provider by supplying free or reduced cost care to qualifying veterans. This study examines whether local area labor market conditions, measured using county-level unemployment rates, influence whether veterans obtain health care from the VA. Methods We used survey data from the Behavioral Risk Factor Surveillance System in years 2000, 2003 and 2004 to construct a random sample of 73,964 respondents self-identified as veterans. VA health service utilization was defined as whether veterans received all, some or no care from the VA. Hierarchical ordered logistic regression was used to address unobserved state and county random effects while adjusting for individual characteristics. Local area labor market conditions were defined as the average 12-month unemployment rate in veterans’ county of residence. Results The mean unemployment rate for veterans receiving all, some and no care was 5.56%, 5.37% and 5.24%, respectively. After covariate adjustment, a one percentage point increase in the unemployment rate in a veteran’s county of residence was associated with an increase in the probability of receiving all care (0.34%, p-value = 0.056) or some care (0.29%, p-value = 0.023) from the VA. Conclusions Our findings suggest that the important role of the VA in providing health care services to veterans is magnified in locations with high unemployment.
    BMC Health Services Research 03/2013; 13(1):96. DOI:10.1186/1472-6963-13-96 · 1.71 Impact Factor
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    ABSTRACT: Most electronic health records today need further development of features that patient-centered medical homes require to improve their efficiency, quality, and safety. We propose a road map of the domains that need to be addressed to achieve these results. We believe that the development of electronic health records will be critical in seven major areas: telehealth, measurement of quality and efficiency, care transitions, personal health records, and, most important, registries, team care, and clinical decision support for chronic diseases. To encourage this development, policy makers should include medical homes in emerging electronic health record regulations. Additionally, more research is needed to learn how these records can enhance team care.
    Health Affairs 04/2010; 29(4):614-21. DOI:10.1377/hlthaff.2010.0007 · 4.97 Impact Factor
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