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Cutoff Value of Phase Angle by Bioelectrical Impedance Analysis at Admission as a Prognostic Factor in Patients with Acute Heart Failure
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Age Differences in Racial/Ethnic Disparities in Preventable Hospitalizations for Heart Failure in Connecticut,

Riddhi P Doshi1,2, Jun Yan1,3, Robert H Aseltine1,2,3

  • 1Center for Population Health, University of Connecticut Health Center, Farmington, CT, USA.

Public Health Reports (Washington, D.C. : 1974)
|November 21, 2019
PubMed

Insights

Black and Hispanic adults face higher risks of preventable heart failure hospitalizations. Disparities persist across age groups, highlighting the need for targeted interventions to reduce these gaps in care.

Area of Science:

  • Cardiovascular Disease Epidemiology
  • Health Disparities Research
  • Public Health Interventions

Background:

  • Preventable hospitalizations for heart failure represent a significant burden on healthcare systems.
  • Understanding racial and ethnic disparities in heart failure hospitalizations is crucial for developing targeted interventions.

Purpose of the Study:

  • To analyze longitudinal trends in race/ethnicity-associated preventable heart failure hospitalizations in Connecticut.
  • To investigate age-related differences in these racial/ethnic disparities.

Main Methods:

  • Utilized a 7-year (2009-2015) dataset of hospitalizations in Connecticut.
  • Employed raking methodology to create a representative general population reference.
  • Applied multivariate regression models to assess racial/ethnic disparities, controlling for relevant demographic and insurance factors.

Main Results:

  • Non-Hispanic Black adults aged 35-64 had 5.2-6.4 times higher odds of preventable heart failure hospitalization than non-Hispanic White adults.
  • Non-Hispanic Black adults aged ≥65 had 1.2-1.8 times higher odds compared to non-Hispanic White adults.
  • Hispanic adults aged ≥65 showed significantly higher rates than non-Hispanic adults in 2014-2015.

Conclusions:

  • Persistent racial/ethnic disparities in heart failure hospitalizations exist, particularly the Black-White gap.
  • Age modifies these disparities, indicating a need for age-specific prevention strategies.
  • Raking methodology offers an innovative approach to mitigate selection bias in hospital discharge data analysis.
Abstract

Keywords:
heart failuremultivariate regressionpreventable hospitalizationsracial/ethnic disparitiesraking methodology

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