Citation

Giles LC, Whitehead CH, Jeffers L, McErlean B, Thompson D, Crotty M. Comput. Inform. Nurs. 2006; 24(3): 167-172.

Affiliation

Department of Rehabilitation and Aged Care and Flinders Centre for Clinical Change and Health Care Research, Flinders University, Adelaide, Australia.

Copyright

(Copyright © 2006, Lippincott Williams and Wilkins)

DOI

unavailable

PMID

16707948

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.

Language: en