Please use this identifier to cite or link to this item:
|Scopus||Web of Science®||Altmetric|
|Title:||Falls in hospitalized patients: Can nursing information systems data predict falls?|
|Citation:||CIN: Computers, Informatics, Nursing, 2006; 24(3):167-172|
|Publisher:||Lippincott Williams & Wilkins|
|Lynne C. Giles, Craig H. Whitehead, Lesley Jeffers, Beth McErlean, Dani Thompson and Maria Crotty|
|Abstract:||Falls among inpatients are the most frequently reported critical incidents in hospitals and can have tragic consequences that affect morbidity and mortality. The present study aimed to determine whether certain nursing units of care identified on patient care plans can be used to predict falls among hospitalized inpatients. A retrospective analysis of 7167 inpatient admissions in the 2002 calendar year was conducted. Faller status was ascertained from the hospital’s accident and incident monitoring system, and nursing units of care activated in the hospital’s nursing information system were identified. Twelve nursing units of care predicted falls. Logistic regression analyses showed that nursing units of care related to patient safety, confusion, incontinence, medication, mobility, and sleep were significant risk factors for falls among inpatients. The number of nursing units of care activated also predicted falls. Data collected from nursing information systems can be used to identify patients at high risk of falls.|
Hospital information systems
|Appears in Collections:||Aurora harvest|
Obstetrics and Gynaecology publications
Files in This Item:
There are no files associated with this item.
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.