Readmission diagnosis, patient characteristics, and the development of a risk assessment tool to decrease stroke readmissions

Loading...
Thumbnail Image
Authors
Wilson, Donna
Issue Date
2016-04-29
Type
Abstract
Language
en_US
Keywords
Research Projects
Organizational Units
Journal Issue
Alternative Title
Abstract

Hospital readmission for stroke is a major concern, and identifying characteristics contributing to readmission during the patient's index admission is critically important. Prior studies lack a consistent approach in early identification and a process for preventing hospital readmissions. The purpose of this project was to identify the readmission diagnosis and characteristics of discharged stroke patients within 30 days, and subsequently develop a risk assessment tool to help prevent future readmission. Retrospective medical record review identified characteristics of readmission and index stroke admission. The most common readmission diagnoses were ischemic stroke, urinary tract infection, acute respiratory failure, and pneumonia. The characteristics of age 70-79; Caucasian; female; risk factors of hypertension, diabetes, and dyslipidemia; and frequency of complications during the index stroke contributed to a readmission in 30 days. Further evaluation of these characteristics is needed by applying the newly developed risk assessment tool to stroke patients to support the current findings.

Description
Honorable mention of poster presentations. Presented to the 12th Annual Symposium on Graduate Research and Scholarly Projects (GRASP) held at the Heskett Center, Wichita State University, April 29, 2016.
Research completed at Department of Nursing, College of Health Professions
Citation
Wilson, Donna. 2016. Readmission diagnosis, patient characteristics, and the development of a risk assessment tool to decrease stroke readmissions. --In Proceedings: 12th Annual Symposium on Graduate Research and Scholarly Projects. Wichita, KS: Wichita State University, p. 122
Publisher
Wichita State University
License
Journal
Volume
Issue
PubMed ID
DOI
ISSN
EISSN