Development of an algorithm for assessing fall risk in a Japanese inpatient population

Falling is a representative incident in hospitalization and can cause serious complications. In this study, we constructed an algorithm that nurses can use to easily recognize essential fall risk factors and appropriately perform an assessment. A total of 56,911 inpatients (non-fall, 56,673; fall; 2...

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Detalles Bibliográficos
Autores principales: Nakanishi, Tomoko, Ikeda, Tokunori, Nakamura, Taishi, Yamanouchi, Yoshinori, Chikamoto, Akira, Usuku, Koichiro
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8429765/
https://www.ncbi.nlm.nih.gov/pubmed/34504235
http://dx.doi.org/10.1038/s41598-021-97483-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8429765/
https://www.ncbi.nlm.nih.gov/pubmed/34504235
http://dx.doi.org/10.1038/s41598-021-97483-1

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