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Dataset Information

External validation of the Johns Hopkins Fall Risk Assessment Tool in older Dutch hospitalized patients.


ABSTRACT:

Purpose

Fall prevention is a safety goal in many hospitals. The performance of the Johns Hopkins Fall Risk Assessment Tool (JHFRAT) in older inpatients is largely unknown. We aimed to assess the JHFRAT performance in a large sample of Dutch older inpatients, including its trend over time.

Methods

We used an Electronic Health Records (EHR) dataset with hospitalized patients (≥ 70), admitted for ≥ 24 h between 2016 and 2021. Inpatient falls were extracted from structured and free-text data. We assessed the association between JHFRAT and falls using logistic regression. For test accuracy, we calculated sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV). Discrimination was measured by the AUC. For calibration, we plotted the predicted

SUBMITTER: Damoiseaux-Volman BA 

PROVIDER: S-EPMC9686262 | biostudies-literature | 2023 Feb

REPOSITORIES: biostudies-literature