Citation

Nomura ATG, dos Santos Graeff M, Pruinelli L, de Abreu Almeida M. Stud. Health Technol. Inform. 2019; 264: 1741-1742.

Affiliation

School of Nursing, Universidade Federal do Rio Grande do Sul, Porto Alegre, Rio Grande do Sul, Brazil.

Copyright

(Copyright © 2019, IOS Press)

DOI

10.3233/SHTI190625

PMID

31438321

Abstract

Understanding the multifactorial dimension of fall risk contributes to the search for better preventive interventions. The objective of this study was to identify the events types and the most frequent causes related to falls in adults and newborns. In the included period, 378 falls occurred. Understanding the predictive factors for the occurrence of falls has the potential to guarantee better safety for the patient.

Language: en

Keywords

Accidental Falls; Electronic Health Records; Nursing Informatics