Literature DB >> 12593120

Evaluation of the STRATIFY falls prediction tool on a geriatric unit.

Esther Coker1, David Oliver.   

Abstract

Accurate prediction of fall-prone hospitalized older adults may be integral to reducing falls. The STRATIFY, a simple 5-point falls prediction tool, was prospectively validated on a Geriatric Assessment and Rehabilitation Unit as a one-time initial predictor of patients likely to fall. Sensitivity and specificity were lower than in the original British study. Introducing risk assessments validated elsewhere on a patient care unit or on a hospital-wide scale requires caution.

Entities:  

Mesh:

Year:  2003        PMID: 12593120

Source DB:  PubMed          Journal:  Outcomes Manag        ISSN: 1535-2765


  8 in total

1.  Kinematic measures for assessing gait stability in elderly individuals: a systematic review.

Authors:  D Hamacher; N B Singh; J H Van Dieën; M O Heller; W R Taylor
Journal:  J R Soc Interface       Date:  2011-08-31       Impact factor: 4.118

Review 2.  Predicting geriatric falls following an episode of emergency department care: a systematic review.

Authors:  Christopher R Carpenter; Michael S Avidan; Tanya Wildes; Susan Stark; Susan A Fowler; Alexander X Lo
Journal:  Acad Emerg Med       Date:  2014-10-07       Impact factor: 3.451

Review 3.  A systematic review and meta-analysis of studies using the STRATIFY tool for prediction of falls in hospital patients: how well does it work?

Authors:  David Oliver; Alexandra Papaioannou; Lora Giangregorio; Lehana Thabane; Katerina Reizgys; Gary Foster
Journal:  Age Ageing       Date:  2008-10-01       Impact factor: 10.668

4.  Predicting in-patient falls in a geriatric clinic: a clinical study combining assessment data and simple sensory gait measurements.

Authors:  M Marschollek; G Nemitz; M Gietzelt; K H Wolf; H Meyer Zu Schwabedissen; R Haux
Journal:  Z Gerontol Geriatr       Date:  2009-06-20       Impact factor: 1.281

Review 5.  Diagnostic accuracy of the STRATIFY clinical prediction rule for falls: a systematic review and meta-analysis.

Authors:  Jennifer Billington; Tom Fahey; Rose Galvin
Journal:  BMC Fam Pract       Date:  2012-08-07       Impact factor: 2.497

6.  Can falls risk prediction tools correctly identify fall-prone elderly rehabilitation inpatients? A systematic review and meta-analysis.

Authors:  Bruno Roza da Costa; Anne Wilhelmina Saskia Rutjes; Angelico Mendy; Rosalie Freund-Heritage; Edgar Ramos Vieira
Journal:  PLoS One       Date:  2012-07-17       Impact factor: 3.240

7.  Prediction of falls using a risk assessment tool in the acute care setting.

Authors:  Alexandra Papaioannou; William Parkinson; Richard Cook; Nicole Ferko; Esther Coker; Jonathan D Adachi
Journal:  BMC Med       Date:  2004-01-21       Impact factor: 8.775

8.  Falls screening and assessment tools used in acute mental health settings: a review of policies in England and Wales.

Authors:  V Narayanan; A Dickinson; C Victor; C Griffiths; D Humphrey
Journal:  Physiotherapy       Date:  2015-07-09       Impact factor: 3.358

  8 in total

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