National Healthcare Quality and Disparities Report
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Research Studies is a compilation of published research articles funded by AHRQ or authored by AHRQ researchers.
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1 to 2 of 2 Research Studies DisplayedKhera R, Kondamudi N, Zhong L
Temporal trends in heart failure incidence among Medicare
This retrospective, national cohort study looked at temporal trends in heart failure (HF) incidence among Medicare beneficiaries from 2011 to 2016. There had been a decline in claims during that time period. Five percent of all fee-for-service Medicare beneficiaries with no prior HF diagnosis were followed up from 2011-2016. Annual trends were examined in HF incidence among groups with and without primary HF risk factors (hypertension, diabetes, and obesity) and predisposing cardiovascular conditions (acute myocardial infarction (MI) and atrial fibrillation (AF). Of the approximately 1.8 million Medicare beneficiaries at risk for HF, 249,832 had a new diagnosis of HF. The prevalence of all 5 risk factors had increased during the 5-year study period. There was a relative decline in HF incidence among beneficiaries with primary HF risk factors, but incidence increased among individuals with acute MI and AF.
AHRQ-funded; HS022418.
Citation: Khera R, Kondamudi N, Zhong L .
Temporal trends in heart failure incidence among Medicare
JAMA Netw Open 2020 Oct;3(10):e2022190. doi: 10.1001/jamanetworkopen.2020.22190.
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Keywords: Heart Disease and Health, Cardiovascular Conditions, Medicare, Risk, Elderly, Mortality
Thacker EL, Muntner P, Zhao H
Claims-based algorithms for identifying Medicare beneficiaries at high estimated risk for coronary heart disease events: a cross-sectional study.
The researchers sought to develop claims-based algorithms to identify individuals at high risk for coronary artery disease (CHD) and to identify low-density lipoprotein (LDL) cholesterol among statin users at high risk for CHD events. They found that despite low sensitivity, the high predictive value of their algorithm for high risk for CHD events supports the use of claims to identify Medicare beneficiaries at high risk for CHD events.
AHRQ-funded; HS018517
Citation: Thacker EL, Muntner P, Zhao H .
Claims-based algorithms for identifying Medicare beneficiaries at high estimated risk for coronary heart disease events: a cross-sectional study.
BMC Health Serv Res. 2014 Apr 29;14:195. doi: 10.1186/1472-6963-14-195..
Keywords: Comparative Effectiveness, Medicare, Risk, Cardiovascular Conditions, Chronic Conditions