Alternative research funding to improve clinical outcomes: model of prediction and prevention of sudden cardiac death

Research output: Contribution to journalArticle

13 Citations (Scopus)

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.

Original languageEnglish (US)
Pages (from-to)492-498
Number of pages7
JournalCirculation: Arrhythmia and Electrophysiology
Volume8
Issue number2
DOIs
StatePublished - Apr 1 2015

Fingerprint

Sudden Cardiac Death
Research
Epidemiology
Risk Management
Insurance Benefits
Insurance
Motivation
Industry
Public Health
Population

Keywords

  • cardiac arrest
  • cost-benefit analysis
  • death, sudden, cardiac
  • research design

ASJC Scopus subject areas

  • Medicine(all)

Cite this

@article{d7a1846c35b54f58bc8c74252975363a,
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.",
keywords = "cardiac arrest, cost-benefit analysis, death, sudden, cardiac, research design",
author = "Myerburg, {Robert J} and Steven Ullmann",
year = "2015",
month = "4",
day = "1",
doi = "10.1161/CIRCEP.114.002580",
language = "English (US)",
volume = "8",
pages = "492--498",
journal = "Circulation: Arrhythmia and Electrophysiology",
issn = "1941-3149",
publisher = "Lippincott Williams and Wilkins",
number = "2",

}

TY - JOUR

T1 - Alternative research funding to improve clinical outcomes

T2 - model of prediction and prevention of sudden cardiac death

AU - Myerburg, Robert J

AU - Ullmann, Steven

PY - 2015/4/1

Y1 - 2015/4/1

N2 - 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.

AB - 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.

KW - cardiac arrest

KW - cost-benefit analysis

KW - death, sudden, cardiac

KW - research design

UR - http://www.scopus.com/inward/record.url?scp=84932108720&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84932108720&partnerID=8YFLogxK

U2 - 10.1161/CIRCEP.114.002580

DO - 10.1161/CIRCEP.114.002580

M3 - Article

C2 - 25669654

AN - SCOPUS:84932108720

VL - 8

SP - 492

EP - 498

JO - Circulation: Arrhythmia and Electrophysiology

JF - Circulation: Arrhythmia and Electrophysiology

SN - 1941-3149

IS - 2

ER -