title: Alternative research funding to improve clinical outcomes: model of prediction and prevention of sudden cardiac death.
abstract: Although identification and management of cardiovascular risk markers have provided important population risk insights and public health benefits, individual risk prediction remains challenging. Using sudden cardiac death risk as a base case, the complex epidemiology of sudden cardiac death risk and the substantial new funding required to study individual risk are explored. Complex epidemiology derives from the multiple subgroups having different denominators and risk profiles, while funding limitations emerge from saturation of conventional sources of research funding without foreseeable opportunities for increases. A resolution to this problem would have to emerge from new sources of funding targeted to individual risk prediction. In this analysis, we explore the possibility of a research funding strategy that would offer business incentives to the insurance industries, while providing support for unresolved research goals. The model is developed for the case of sudden cardiac death risk, but the concept is applicable to other areas of the medical enterprise.
authors: From the Division of Cardiology, Department of Medicine, University of Miami Miller School of Medicine, FL (R.J.M.); and Center for Health Sector Management and Policy, University of Miami, Coral Gables, FL (S.G.U.). rmyerbur@med.miami.edu.
authors: Robert J
authors: RJ
authors: Myerburg
authors: From the Division of Cardiology, Department of Medicine, University of Miami Miller School of Medicine, FL (R.J.M.); and Center for Health Sector Management and Policy, University of Miami, Coral Gables, FL (S.G.U.).
authors: Steven G
authors: SG
authors: Ullmann
mesh_terms: D035843:Biomedical Research / Q000191:economics*; D002017:Budgets; D002309:Cardiology / Q000191:economics*; D003362:Cost-Benefit Analysis; D016757:Death, Sudden, Cardiac / Q000453:epidemiology / Q000517:prevention & control*; D003661:Decision Support Techniques; D019981:Health Care Sector / Q000191:economics*; D006801:Humans; D007348:Insurance, Health / Q000191:economics*; D012109:Research Support as Topic / Q000191:economics*; D018570:Risk Assessment; D012307:Risk Factors
keywords: cardiac arrest; cost-benefit analysis; death, sudden, cardiac; research design