Abstract
Heart Failure remains a complex clinical syndrome that affects all races and backgrounds. Periodically individuals with a heart failure diagnosis will require hospitalization during the course of the disease progression. Consequently, early and repeated rehospitalizations for acute exacerbations presents additional social and economic difficulties. Prior research demonstrated that elderly African-American and Caucasian women account for a large proportion of the population at risk for future heart failure hospitalizations along with readmissions within 60 days of discharge. Unfortunately, the literature remains unpredictable or largely non-existent regarding the unique associations between risk predictors for heart failure and early (31 to 60-day) heart failure rehospitalization in these two groups of women. Improved understanding of the predictors that influence avoidable early heart failure rehospitalization may engender strategies to reduce readmissions in these at-risk populations.
Using a risk factor model for heart failure rehospitalization as a conceptual framework, this research determined if certain social, hemodynamic and comorbid risk factors associated with elderly African-American and Caucasian women HF patients influenced hospital readmission within 31 to 60-day of discharge.
Sigma Membership
Phi Lambda
Type
Dissertation
Format Type
Text-based Document
Study Design/Type
Descriptive/Correlational
Research Approach
Quantitative Research
Keywords:
African-American Women, Caucasian Women, Hospital Readmissions, Heart Failure, Reduced Ejection Fraction
Advisor
Nalini Jairath
Second Advisor
Nancy Steffan
Third Advisor
Arthur B. Chandler
Degree
PhD
Degree Grantor
The Catholic University of America
Degree Year
2019
Recommended Citation
Sue-Ling, Carolyn B., "Predictors of early rehospitalization among African American and Caucasian women hospitalized with heart failure" (2022). Dissertations. 163.
https://www.sigmarepository.org/dissertations/163
Rights Holder
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Review Type
None: Degree-based Submission
Acquisition
Proxy-submission
Date of Issue
2022-04-14
Full Text of Presentation
wf_yes
Description
This dissertation has also been disseminated through the ProQuest Dissertations and Theses database. Dissertation/thesis number: 13861724; ProQuest document ID: 2240083674. The author still retains copyright.