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Hospital Readmission Risk Screening Tools For Older Adults: A Systematic Review | 102948
ISSN: 2471-9846

Journal of Community & Public Health Nursing
Open Access

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Hospital readmission risk screening tools for older adults: A systematic review

25th World Congress on Nursing & Healthcare

Jantra Keawpugdee

Mahidol University, Thailand

Keynote: J Comm Pub Health Nurs

DOI: 10.4172/2471-9846-C3-007

Abstract
Background & Aim: Hospital readmissions are defined as multiple inpatient stays within a specified time period by the same patient (Agency for Healthcare Research and Quality, 2013). Screening is the first step in identifying patients at risk for hospital readmissions and predicting readmission to the hospital. The study aims to identify, summarize and evaluate readmission screening tools for older adults. Method: A systematic review of articles written in English and identified via CINAHL, MEDLINE/PubMed, Ovid UML and Cochrane Library was conducted. Additional studies were identified by through reference lists of the identified articles and by Google search. Search items included keywords for readmission, risk assessment, tools and the terms hospital settings and older adults. Reliability, validity and predictors of readmission tools were extracted independently by two authors and categorized by the authors classification tool. Result: 14 studies using five screening tools were identified. Based on the author developed scale screening tools, ISAR, TRST and hospital score showed low to moderate validity and moderate to good reliability. The RRAT validity and reliability scores were low to moderate, and the LACE index validity score was low to moderate, but the reliability of the tool was not reported. Independent variables that were most often identified as predictors of hospital readmission were history of hospital admission, polypharmacy, cognitive and memory problems, the need for help as well as difficulties in walking, the length of stay and comorbid conditions. Conclusion: No single older adult readmission tool stands out as the best hospital readmissions risk screening tool. Tools can be chosen based on ease of use, predictors and hospital needs. Future studies comparing tools with patients with different diagnosis should be conducted.
Biography

Jantra Keawpugdee has completed her PhD in Public Health Nursing from Mahidol University. She is working as a Nursing Lecturer of Ramathibodi School of Nursing, Faculty of Medicine, Ramathibodi Hospital, Mahidol University. She has published two papers in reputed journals and has been traning at the School of Nursing, University of Massachusetts Lowell, USA.

E-mail: jantrawork@gmail.com

 

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