Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/55924
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Type: Journal article
Title: Falls in hospitalized patients: Can nursing information systems data predict falls?
Author: Giles, L.
Whitehead, C.
Jeffers, L.
McErlean, B.
Thompson, D.
Crotty, M.
Citation: CIN-Computers Informatics Nursing, 2006; 24(3):167-172
Publisher: Lippincott Williams & Wilkins
Issue Date: 2006
ISSN: 1538-2931
1538-9774
Statement of
Responsibility: 
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.
Keywords: Accidental falls; Hospital information systems; Risk factors
RMID: 0020092624
DOI: 10.1097/00024665-200605000-00014
Appears in Collections:Obstetrics and Gynaecology publications

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