Document Type
Article
Abstract
The current study sought to identify social, hemodynamic, and comorbid risk factors associated with 31-to 60-day heart failure (HF) rehospitalization in African American and Caucasian older (aged >65 years) women. A non-equivalent, case-control, quantitative design study using secondary data analysis of medical records from a local community hospital in the Southeast region of the United States was performed over a 3-year period. Relationships between predictor variables and the outcome variable, 31- to 60-day HF rehospitalization, were explored. The full model containing all predictors was not able to distinguish between predictors (χ[21, N = 188] = 35.77, p = 0.12). However, a condensed model showed that body mass index (BMI) level 1 (/m), BMI level 2 (>25 and /m), age 75 to 80 years, and those taking lipid-lowering agents were significant predictors. Subtype of HF (reduced or preserved) and race did not predict HF rehospitalization within the specified time period. Multiple comorbid risk factors failed to consistently predict rehospitalization, which may reflect dated HF-specific approaches and therapies. Future studies should evaluate contributions of current targeted post-discharge methods or therapies. [Research in Gerontological Nursing, 15(4), 179-191.].
Digital Object Identifier (DOI)
Publication Info
Published in Research in Gerontological Nursing, Volume 15, Issue 4, 2022, pages 179-191.
APA Citation
Carolyn Biggs Sue-Ling, & Nalini Jairath. (2022). Predicting 31- to 60-Day Heart Failure Rehospitalization Among Older Women. Research in Gerontological Nursing, 15(4), 179–191. https://doi.org/10.3928/19404921-20220518-03
Rights
© 2022 Biggs Sue-Ling, Jairath; licensee SLACK Incorporated. This is an Open Access article distributed under the terms of the Creative Commons Attribution 4.0 International (https://creativecommons.org/licenses/by/4.0). This license allows users to copy and distribute, to remix, transform, and build upon the article, for any purpose, even commercially, provided the author is attributed and is not represented as endorsing the use made of the work.