Comparative Assessment of Modifying Social Determinants to Reduce Cardiovascular Disease Burden and Disparities
Comparative Assessment of Modifying Social Determinants to Reduce Cardiovascular Disease Burden and Disparities
批准号:
9368192
负责人:
Daniel Kim
金额:
$41.01万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2017
资助国家:
美国
项目状态:
已结题
起止时间:
2017-07-01 至 2020-05-31
关键词:
AdultAffectAmericanAreaCardiovascular DiseasesCessation of lifeCost SavingsCost of IllnessDataDatabasesDiseaseEconomicsEffectivenessElderlyEmployment StatusEthnic OriginGeographic stateGeographyGoalsHealth and Retirement StudyIncidenceIncomeInequalityKnowledgeLinkMeasuresMedicare claimMinorityNational Longitudinal Survey of YouthOutcomePoliciesPopulationPreventionPrevention ResearchProcessPublic PolicyRaceResearchResource AllocationRisk FactorsSamplingSampling StudiesSocioeconomic StatusTestingTranslatingUnemploymentUnited States National Institutes of HealthVulnerable PopulationsWomanage groupbaseburden of illnesscardiovascular disorder preventioncardiovascular disorder riskcohesioncomparativecomparative effectivenesscostcost effectivedevelopment policydisorder riskdisparity reductioneconomic evaluationeconomic impactethnic minority populationevidence basehealth economicsimprovedmiddle agemortalitypopulation healthpreventpublic health relevanceracial and ethnicresidencesocialsocial capitalsocial health determinantssocioeconomic disadvantagesocioeconomicstooltranslational impact
中文摘要
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英文摘要
PROJECT SUMMARY/ABSTRACT
Despite advancements in prevention and treatments for cardiovascular diseases (CVD), fiscal constraints have
driven federal and state policymakers to make difficult choices among competing policy decisions, often
without evidence of effectiveness. A comparative effectiveness approach, or in the absence of experimental
data, a comparative assessment approach that compares the estimated impacts of modifying exposures
using observational data, can critically inform this priority-setting process. We and others have demonstrated
that social determinants, upstream social factors such as income inequality and social capital/cohesion, are
key predictors of disease including CVD. Yet important questions remain about which social determinants
have the biggest impacts on CVD burden. Furthermore, we lack knowledge on which subpopulations and
states are most affected. In spite of calls for comparative assessments/effectiveness of strategies to improve
population health and prevent CVD, including from NIH, we still lack knowledge on the relative CVD burden
and economic impacts associated with modifying such factors. Given this information, there are critical needs
to accurately estimate the impacts of social determinants on CVD risks; to translate these estimates into policy-
setting tools including impacts on CVD burden and costs; and to compare and contrast the costs and sizes of
these impacts. Our overall objective is to provide the first comparative assessment evidence base to
compare the CVD burden and economic impacts of modifying key social determinants in middle-aged and
older Americans. We will accomplish our overall objective by pursuing the following specific aims using data
from two large, nationally-representative samples of middle-aged and older adults, the National Longitudinal
Survey of Youths 1979 (NLSY) and the Health and Retirement Study (HRS), linked to social and economic
measures by area of residence, and to Medicare claims and mortality databases: Aim #1) To determine
which social determinants most strongly predict the risks of CVD incidence, mortality, and risk factors
in middle-aged and older adults; Aim #2) To identify which subpopulations and geographic states are
most vulnerable to the influences of social determinants on CVD burden and risk factors; and Aim #3)
To determine which social determinants if modified are expected to yield the greatest reductions in
CVD burden and its associated costs, both overall and by subpopulation. Regarding outcomes, our 3-
year study is expected to identify the most promising social determinants on which to intervene to yield
improvements in adult CVD burden. We will further establish how vulnerabilities to effects by geography and
subpopulations may explain CVD disparities. By translating our estimates into population health and economic
measures, we will directly respond to calls for comparative assessments and economic evaluations in CVD
prevention research. Over the long term, we expect that our project will have high translational impact through
guiding policymakers' evidence-based decisions to reduce CVD burden and inequities.
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