Literature DB >> 17919164

Evaluation of three fall-risk assessment tools in an acute care setting.

Emily Ang Neo Kim1, Siti Zubaidah Mordiffi, Wong Hwee Bee, Kamala Devi, David Evans.   

Abstract

AIM: This paper is a report of a study to evaluate the validity of three fall-risk assessment tools to identify patients at high risk for falls.
BACKGROUND: Patient falls make up 38% of all adverse events occurring in hospital settings, and may result in physical injury and undesirable emotional and financial outcomes. No single fall-risk assessment tool has been conclusively validated.
METHOD: The Morse Fall Scale, St Thomas Risk Assessment Tool in Falling Elderly Inpatients, and Hendrich II Fall Risk Model were validated in inter-rater reliability and validity studies in 2003. This included assessment of the probability of disagreement, kappa-values, sensitivity, specificity, positive predictive values and negative predictive values of the assessment tools with the associated 95% CI.
FINDINGS: One hundred and forty-four patients were recruited for the inter-rater reliability study. The probabilities of disagreement were between 2.8% and 9.7%, and 95% CI for all tools ranged from 1.1% to 15.7%. The kappa-values were all higher than 0.80. In the validity study, 5489 patients were recruited to observe 60 falls. The Morse Fall Scale at a cutoff score of 25 and Heindrich II Fall Risk Model at a cutoff score of 5 had strong sensitivity values of 88% and 70%, respectively. However, in comparison with the Morse Fall Scale (specificity = 48.3%), only the Heindrich II Fall Risk Model had a more acceptable level of specificity (61.5%).
CONCLUSION: The Heindrich II Fall Risk Model is potentially useful in identifying patients at high risk for falls in acute care facilities.

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Mesh:

Year:  2007        PMID: 17919164     DOI: 10.1111/j.1365-2648.2007.04419.x

Source DB:  PubMed          Journal:  J Adv Nurs        ISSN: 0309-2402            Impact factor:   3.187


  18 in total

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7.  A new scale for evaluating the risks for in-hospital falls of newborn infants: a failure modes and effects analysis study.

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8.  Sensors vs. experts - a performance comparison of sensor-based fall risk assessment vs. conventional assessment in a sample of geriatric patients.

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9.  Mining geriatric assessment data for in-patient fall prediction models and high-risk subgroups.

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10.  Evaluation of Reliability and Validity of the Hendrich II Fall Risk Model in a Chinese Hospital Population.

Authors:  Congcong Zhang; Xinjuan Wu; Songbai Lin; Zhaoxia Jia; Jing Cao
Journal:  PLoS One       Date:  2015-11-06       Impact factor: 3.240

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