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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...
Autores principales: | Nakanishi, Tomoko, Ikeda, Tokunori, Nakamura, Taishi, Yamanouchi, Yoshinori, Chikamoto, Akira, Usuku, Koichiro |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
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Materias: | |
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 |
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