A Simple and Accurate Model for Predicting Fall Injuries in Hospitalized Patients: Insights from a Retrospective Observational Study in Japan

Shizuka Yaita; Masaki Tago; Naoko E. Katsuki; Eiji Nakatani; Yoshimasa Oda; Shun Yamashita; Midori Tokushima; Yoshinori Tokushima; Hidetoshi Aihara; Motoshi Fujiwara; Shu-ichi Yamashita

doi:10.12659/MSM.941252

14 August 2023: Clinical Research

A Simple and Accurate Model for Predicting Fall Injuries in Hospitalized Patients: Insights from a Retrospective Observational Study in Japan

Shizuka Yaita ^1ACDEF* , Masaki Tago ^1ABCDEFG** , Naoko E. Katsuki ^1ABCDEF , Eiji Nakatani ^2ACDE , Yoshimasa Oda ^3BDE , Shun Yamashita ^1DEF , Midori Tokushima ^1DE , Yoshinori Tokushima ^1DE , Hidetoshi Aihara ^1ADE , Motoshi Fujiwara ^1DE , Shu-ichi Yamashita ^1DE

DOI: 10.12659/MSM.941252

Med Sci Monit 2023; 29:e941252

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Figure 2 Data flow diagram. A total of 17 062 were eligible, of whom 646 fell; among these, 113 had an injury severity level of 1 or higher. This figure was created using Microsoft® PowerPoint® for Microsoft 365 MSO (version 2305).

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A Simple and Accurate Model for Predicting Fall Injuries in Hospitalized Patients: Insights from a Retrospective Observational Study in Japan

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