Originally published on March 30, 2016, by Peterson Center on Healthcare
Grant awarded to University of Washington to analyze drivers of health care spending and identify future trends to guide efforts to improve health outcomes and bend the cost curve
New York, NY—The Peterson Center on Healthcare announced an innovative initiative designed to identify past drivers of US health care spending in order to better forecast future spending trends. The project will research significant datasets to explore the various factors that have historically impacted health care spending, providing analysis that can guide future policies aimed at moderating the trajectory of health care spending and improving outcomes. The initiative, led by the University of Washington’s Institute for Health Metrics and Evaluation (IHME), will add scenario planning and predictive modeling to the Center’s portfolio of initiatives focused on better understanding performance of the US health care system.
IHME will receive a $628,000 grant to conduct three phases of analysis:
- Using the findings from the Global Burden of Disease (GBD) study and the Disease Expenditure (DEX) research project, the causes of illnesses, risk factors, and types of care that lead to the highest health care costs will be compared across three primary payers: public insurance, private insurance, and out-of-pocket private spending.
- Changes in public and private health expenditure will be further broken down into four determinants – changes in demography, epidemiology, utilization, and prices – to develop working theories of which combinations had greatest impact on spending.
- A forecast of health care spending will be developed through 2040 based on alternative scenarios involving the four determinants listed above.
“We know the US health care system does not deliver the outcomes we should expect given what the nation spends, so we need to understand at a much finer level what exactly is happening in the system,” said Jeffrey D. Selberg, Executive Director of the Peterson Center on Healthcare. “As we work to improve the performance of our delivery system, IHME will add a predictive dimension to the cost side of the equation, helping us better understand long-term trends, drivers of spend, and perhaps how we can direct our resources to improve those long-term scenarios.”
IHME will benchmark its forecasts of private and public health care spending to current forecasts, including those published by the Congressional Budget Office (CBO) and the Office of the Actuary at the Center for Medicare and Medicaid Services (CMS). Learning and analysis from this project will be published through the Peterson-Kaiser Health System Tracker, an initiative with the Kaiser Family Foundation to monitor current trends and drivers of health care quality and cost.
“Our ultimate goal is to highlight the levers that patients, providers, payers, and policymakers might use to improve health outcomes while minimizing costs,” said Dr. Christopher Murray, IHME Director.
For more information about the Peterson Center on Healthcare, visit petersonhealthcare.org.
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About the Peterson Center on Healthcare
The Peterson Center on Healthcare is a nonprofit organization dedicated to making higher-quality, more affordable health care a reality for all Americans. The organization works to transform US health care into a high-performance system by finding innovative solutions that improve quality and lower costs, and accelerating their adoption on a national scale. Established by the Peter G. Peterson Foundation, the organization collaborates with stakeholders across the health care system and engages in grant-making, partnerships, and research.
About the Institute for Health Metrics and Evaluation
The Institute for Health Metrics and Evaluation (IHME) is an independent global health research organization at the University of Washington that provides rigorous and comparable measurement of the world’s most important health problems and evaluates the strategies used to address them. IHME makes this information widely available so that policymakers have the evidence they need to make informed decisions about how to allocate resources to best improve population health.