Development and Validation of a Dynamic Online Nomogram for Predicting Inpatient Fall Risk: A Cohort Study

We developed a predictive model for assessing fall risk among hospitalized patients. This model supports individualized patient evaluations, assists in identifying high-risk patients, and may contribute to reducing fall incidence in hospital settings.

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Publication Details

Journal
Journal of Multidisciplinary Healthcare
Published
2025-08-01
DOI
https://doi.org/10.2147/jmdh.s531799
Primary Topic
Balance, Gait, and Falls Prevention
Type
article
Field-Weighted Citation Impact
0.00
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article

Development and Validation of a Dynamic Online Nomogram for Predicting Inpatient Fall Risk: A Cohort Study

Qiuyue Xu, R. Wang, Su Jiang, Feng Zhao et al.
Journal of Multidisciplinary Healthcare
Balance, Gait, and Falls Prevention
article

Development and Validation of a Dynamic Online Nomogram for Predicting Inpatient Fall Risk: A Cohort Study

Qiuyue Xu, R. Wang, Su Jiang, Feng Zhao, Sulei Wang, Tianchen Wu, Hui Yang, Yan Liang
article en

Abstract

We developed a predictive model for assessing fall risk among hospitalized patients. This model supports individualized patient evaluations, assists in identifying high-risk patients, and may contribute to reducing fall incidence in hospital settings.

Journal of Multidisciplinary HealthcareVol. Volume 18
Nanjing University of Chinese Medicine (CN)
Reduced inequalities
Openalex Percentile: Top 67%
Balance, Gait, and Falls Prevention
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