Peter J. Neumann on Muck Rack

Peter J. Neumann

Boston
As seen in: Color Research & Application, Wiley Online Library, Los Angeles Times, PLOS Medicine, PLOS ONE, JAMA (The Journal of the American Medical Association), JAMA: Journal of the American Medical Association, The New England Journal of Medicine, Newsday, STAT and
Director, @TuftsCEVR. Co-author, #therightpricebook.
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Articles

Do QALY-based CEAs discriminate against disabled patients? A theoretical and empirical analysis

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By Yue Ma, Peter J. Neumann, David Vanness, Hongchao Li, Feng Xie
| Value in Health Journal Verified
Full length articleArticles in PressOpen access Affiliations & Notes 1Department of Health Research Methods, Evidence, and Impact, Faculty of Health Sciences, McMaster University, Canada 2School of International Pharmaceutical Business, China Pharmaceutical University, Nanjing, China 3Center for Pharmacoeconomics and Outcome Research, China Pharmaceutical University, Nanjing, China 4Center for the Evaluation of Value and Risk in Health, Institute for Clinical Research and Health Policy...
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In Remembrance Of Gail Wilensky

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By Peter J. Neumann
| Health Affairs Verified
The many tributes to Gail Wilensky, the health economist and Senior Fellow at Project HOPE who passed away on July 11, aptly recall her accomplishments. She had a PhD in economics from the University of Michigan and, early in her career co-directed the National Medical Care Expenditure Survey.
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Prioritizing Services And Procedures For Value Assessment

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By Peter J. Neumann, Marie Phillips, Joshua Cohen
| Health Affairs Verified
Value assessments in health care tend to focus on pharmaceuticals rather than services and procedures, despite the outsized contribution of services and procedures to health spending. We use the term “value assessment” to refer to explicit consideration of health benefits and economic costs through various analytic techniques. In the US, services and procedures comprise roughly 70 percent of health spending, but encompass 42 percent of published cost-effectiveness analyses (CEAs).
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