Validation of a Fall Injury Prediction Model for use in Chronic Care Hospitals: A Multicenter Retrospective Observational Study

Le résumé fourni par la source

Background: The self-developed Saga Fall Injury Risk Model (SFIRM) consists of six items: sex, age, presence of a referral letter, ambulance transportation, history of falls, and Bedriddenness Rank: and demonstrated good discriminative ability in a preliminary study conducted in acute and chronic care hospitals. This study validates the SFIRM for use in chronic care hospitals, where many older patients at high risk of fall-related injuries are admitted. Methods: This multicenter retrospective study targeted patients aged ≥20 years who were admitted to three chronic care hospitals from April 2018 to March 2021. Data on information and factors related to falls and fall-related injuries were collected from medical records. The primary outcome was the presence or absence of a fall-related injury, and the Area Under the Curve (AUC) of SFIRM was calculated. Results: The data of 1,184 patients (median age = 86 years; men = 45.6%) was available for analysis. Among them, 103 had fall-related injuries that occurred within the hospital. The AUC of the SFIRM was 0.856 (95% CI: 0.820- 0.891, p <0.001). Conclusion: The SFIRM demonstrated good accuracy with data from chronic care hospitals, indicating that it is a simple and helpful model applicable to diverse populations.

Ce résumé expose les affirmations des auteurs. BNTIC ne l’interprète pas comme une validation indépendante des résultats.