Blind Spots in Hospital Fall Prevention: Falls in Stroke Patients Occurred Not Only in Those at a High Risk of Falling

Inoue, Seigo; Otaka, Yohei; Mori, Naoki; Matsuura, Daisuke; Tsujikawa, Masahiro; Kawakami, Michiyuki; Kondo, Kunitsugu

doi:10.1016/j.jamda.2023.10.034

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Cited by 2 publications

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Boosting hospital falls prevention using health assistant staff alongside usual care

Thwaites,

Shaw,

Lui

et al. 2025

Patient Education and Counseling

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Boosting hospital falls prevention using health assistant staff alongside usual care

Thwaites,

Shaw,

Lui

et al. 2025

Patient Education and Counseling

View full text Add to dashboard Cite

Nurses’ Fall Risk Judgements - Cognitive Biases and Contextual Factors Explaining Variability: A multi-centre cross-sectional study

Takase,

Kisanuki,

Yoko

et al. 2024

Preprint

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Background: Assessing fall risk is a complex process requiring the integration of diverse information and cognitive strategies. Despite this complexity, few studies have explored how nurses make these judgements. Moreover, existing research suggests variability in nurses' fall risk assessments, but the reasons for this variation and its appropriateness remain unclear. Objective: This study aimed to investigate how nurses judge fall risk, and the factors associated with their judgements. Methods: Using purposive sampling, 335 nurses from six hospitals in eastern Japan participated in an online survey. The participants rated the likelihood of falls in 18 patient scenarios and completed measures of base-rate neglect, belief bias, and availability bias. A linear mixed-effects regression tree was used to identify factors related to their judgements, and a linear mixed-effects regression model examined associations between judgement variability, cognitive biases, and clinical specialty. Results: Nurses' fall risk assessments were primarily influenced by whether patients called for assistance, followed by the use of sleeping pills, the presence of a tube or drain, and patient mobility status. Judgement variability was linked to nurses ' gender, education, clinical specialty, and susceptibility to availability bias. Conclusion: Variability in clinical judgement may be justified when reflecting personalised, context-specific care. However, inconsistencies arising from cognitive biases are problematic. Healthcare organisations should offer targeted training to enhance contextual expertise and reduce the influence of cognitive biases on fall risk assessments.

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Blind Spots in Hospital Fall Prevention: Falls in Stroke Patients Occurred Not Only in Those at a High Risk of Falling

Cited by 2 publications

References 49 publications

Boosting hospital falls prevention using health assistant staff alongside usual care

Boosting hospital falls prevention using health assistant staff alongside usual care

Nurses’ Fall Risk Judgements - Cognitive Biases and Contextual Factors Explaining Variability: A multi-centre cross-sectional study

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