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  • Low specificity and high false-positive rates limit the usefulness of the STRATIFY tool and clinical judgement in predicting falls in older patients in an acute hospital setting

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Prognosis
Prospective cohort
Low specificity and high false-positive rates limit the usefulness of the STRATIFY tool and clinical judgement in predicting falls in older patients in an acute hospital setting
  1. Frances Healey
  1. Correspondence to Frances Healey
    National Patient Safety Agency, 4–8 Maple Street, London W1T 5HD, UK; frances.healey{at}npsa.nhs.uk

https://doi.org/10.1136/ebn1031

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    Commentary on: Webster J, Courtney M, Marsh N, et al. The STRATIFY tool and clinical judgment were poor predictors of falling in an acute hospital setting. J Clin Epidemiol 2010;63:109–13.OpenUrlCrossRefPubMedWeb of Science

    This paper adds to the increasing evidence that even the best of risk scores may not predict falls accurately enough to be clinically useful. As the authors describe, falls in hospitals are a serious patient safety issue, with more than 1000 falls reported annually from larger hospitals1 and between 1% and 4% of falls resulting in serious injury.

    Comparing falls screening methods

    The study took place in an Australian acute hospital and compared STRATIFY scores calculated by research nurses with responses by ward nurses to the question “Do you think this patient is at …

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    Footnotes

    • Competing interests None.