{"title":"Predicting 31- to 60-Day Heart Failure Rehospitalization Among Older Women.","authors":"Carolyn B. Sue-Ling, N. Jairath","doi":"10.3928/19404921-20220518-03","DOIUrl":null,"url":null,"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 (χ2[21, N = 188] = 35.77, p = 0.12). However, a condensed model showed that body mass index (BMI) level 1 (<25 kg/m2), BMI level 2 (>25 and <30 kg/m2), 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, xx(x), xx-xx.].","PeriodicalId":51272,"journal":{"name":"Research in Gerontological Nursing","volume":"171 1","pages":"1-13"},"PeriodicalIF":1.1000,"publicationDate":"2022-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Research in Gerontological Nursing","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.3928/19404921-20220518-03","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"NURSING","Score":null,"Total":0}
引用次数: 0
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 (χ2[21, N = 188] = 35.77, p = 0.12). However, a condensed model showed that body mass index (BMI) level 1 (<25 kg/m2), BMI level 2 (>25 and <30 kg/m2), 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, xx(x), xx-xx.].
期刊介绍:
Research in Gerontological Nursing is a forum for disseminating peer-reviewed, interdisciplinary, cutting-edge gerontological nursing research and theory to investigators, educators, academicians, clinicians, and policymakers involved with older adults in all health care settings. The Journal accepts manuscripts reporting research, theory, integrative and systematic reviews, instrument development, and research methods with the aims of improving the wellness and quality of care of the older adult population. Theory papers should advance gerontological knowledge, and integrative reviews should provide an analysis of the state of the science and provide direction for future research.