Methods: Two statistical approaches were used to develop post-stratification weights for the Validated post-stratification weights for an existing stroke patient registry to represent lacks an appropriate stroke surveillance system. Improved disease management may attenuate the longstanding geographical heterogeneityīackground: The U.S. Preventive efforts targeting risk factors and The mortality gaps were persistent across sub-groups of age, sex, race, and levelĬonclusions: Despite the overall decline in cardiovascular mortality, significant geographic disparities The gap in age-adjusted mortality estimates for cardiovascularĬause of death was 11.8% in 1999 and was 16% in 2017 across the two regions (Figure 1). In the stroke belt, AAMR due toĪll cardiovascular causes [Average Annual Percentage Change (AAPC): -2.5 (95% CI:-2.9 Non-metropolitan areas, living in the stroke belt. Results: Among 16,111,775 deaths due to cardiovascular causes during the study period, theĪge-adjusted mortality rates (AAMR) were highest among non-Hispanic Black, males from Was used to assess the change in mortality trends. Ischemic heart disease or any cardiovascular cause, were identified in the strokeīelt and non-stroke belt populations using ICD-10 codes. Mortality trends for death due to heart failure, stroke, The nationwide mortality trends derived from the death certificates of all American Methods: A retrospective cross-sectional analysis of the CDC WONDER database was done to evaluate The stroke belt cluster of 11 states versus the rest of the United States. We sought to compare mortalityĭue to cardiovascular disease, heart failure, stroke, and ischemic heart disease in Geographic disparities in cardiovascular outcomes. In the United States, but it is not clear whether these improvements have narrowed Introduction: Improvements in therapy and prevention have led to declining cardiovascular mortality On cost alone may lead to inadequate risk prediction. Risk among the poor or other vulnerable populations, and algorithms that are based In access to care, cost may not be an appropriate surrogate for predicting clinical Minorities, and those from low socioeconomic groups. Hospitalization =3.29 and 4.37 respectively, OR for death=3.35 cost differentialĬonclusions: A paradoxical relationship was observed between adverse outcomes and cost among racial/ethnic Mid and low tertiles (Incidence Rate Ratio (IRR) for all-cause and cardiovascular The highest rates of adverse outcomes as well as higher costs compared to those in For example, those in the highest tertile of comorbidity index had Results: For age and clinical risk, there was directional agreement between adverse eventsĪnd annual cost. Key social determinants of health and clinical outcomes, as well as annual costs of Logistic and linear regression, as appropriate, to examine the relationship between Methods: We calculated one year all cause and CV hospitalization, death, and total costs forĬurrent Medicare Beneficiary Survey participants from 2016-2017 (N=3,614). Objective: We set out to determine whether socially disadvantaged Medicare beneficiaries hadĭisproportionately low costs compared to their clinical outcomes, which might serveĪs a marker for inadequate access to care. With higher rates of comorbidity and chronic disease is uncertain. However, whether these patterns persist in an older population This may lead to disparities in allocation of preventive servicesĪnd other interventions. May systematically underpredict costs in high-risk subgroups due to uneven access Customer Service and Ordering Informationīackground: Recent data suggest that cost prediction models in the private insurance setting.About Circ: Cardiovascular Quality and Outcomes.
Stroke: Vascular and Interventional Neurology.Journal of the American Heart Association (JAHA).Circ: Cardiovascular Quality & Outcomes.Arteriosclerosis, Thrombosis, and Vascular Biology (ATVB).