Literature DB >> 16368736

Use of the 'STRATIFY' falls risk assessment in patients recovering from acute stroke.

Jane Smith1, Anne Forster, John Young.   

Abstract

OBJECTIVES: To investigate the predictive validity and reliability of the STRATIFY falls risk assessment tool as applied to patients recovering from acute stroke.
DESIGN: Prospective cohort study.
SETTING: Six stroke rehabilitation units in the North of England.
SUBJECTS: All patients with a diagnosis of acute stroke admitted to the participating stroke units during a 6-month study period. ASSESSMENT: on admission, falls risk (STRATIFY), disability (Barthel index), mobility (Rivermead mobility index), cognitive impairment (abbreviated mental test score) and visual neglect (Albert's test) were assessed. Then, STRATIFY was completed weekly and within 48 h of anticipated discharge. Consenting patients were contacted at 3 months after discharge to determine falls. OUTCOME MEASURES: Occurrence of a fall within 28 days of the baseline STRATIFY (in-patient study), falls in the first 3 months after discharge (post-discharge study) and falls during stroke unit stay (reliability study).
RESULTS: From 387 patients admitted to the participating units during the study period, 225 contributed to the 28 day in-patient study, and 234 were followed up at 3 months after discharge. STRATIFY performed poorly in predicting falls in the first 28 days (sensitivity 11.3% and specificity 89.5%) and after discharge (sensitivity 16.3% and specificity 86.4%). Agreement was 'fair' between baseline and discharge scores (kappa = 0.263) and 'good' between the pre-hospital discharge score and that obtained in the week preceding discharge (kappa = 0.639).
CONCLUSION: STRATIFY performed poorly as a predictor of falls in a heterogeneous population of stroke patients. There is a need for a disease-specific rather than a generic falls risk assessment tool.

Entities:  

Mesh:

Year:  2005        PMID: 16368736     DOI: 10.1093/ageing/afj027

Source DB:  PubMed          Journal:  Age Ageing        ISSN: 0002-0729            Impact factor:   10.668


  8 in total

Review 1.  An integrative review of factors associated with falls during post-stroke rehabilitation.

Authors:  Grace B Campbell; Judith Tabolt Matthews
Journal:  J Nurs Scholarsh       Date:  2010-10-13       Impact factor: 3.176

2.  In-hospital fall-risk screening in 4,735 geriatric patients from the LUCAS project.

Authors:  L Neumann; V S Hoffmann; S Golgert; J Hasford; W Von Renteln-Kruse
Journal:  J Nutr Health Aging       Date:  2013-03       Impact factor: 4.075

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

Review 4.  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

Review 5.  Instruments for assessing the risk of falls in acute hospitalized patients: a systematic review and meta-analysis.

Authors:  Marta Aranda-Gallardo; Jose M Morales-Asencio; Jose C Canca-Sanchez; Silvia Barrero-Sojo; Claudia Perez-Jimenez; Angeles Morales-Fernandez; Margarita Enriquez de Luna-Rodriguez; Ana B Moya-Suarez; Ana M Mora-Banderas
Journal:  BMC Health Serv Res       Date:  2013-04-02       Impact factor: 2.655

Review 6.  Walking adaptability after a stroke and its assessment in clinical settings.

Authors:  Chitralakshmi K Balasubramanian; David J Clark; Emily J Fox
Journal:  Stroke Res Treat       Date:  2014-08-28

7.  Conley Scale: assessment of a fall risk prevention tool in a General Hospital.

Authors:  A S Guzzo; A Meggiolaro; A Mannocci; M Tecca; I Salomone; G La Torre
Journal:  J Prev Med Hyg       Date:  2015-08-05

8.  Assessing the fall risks of community-dwelling stroke survivors using the Short-form Physiological Profile Assessment (S-PPA).

Authors:  Tai-Wa Liu; Shamay S M Ng
Journal:  PLoS One       Date:  2019-05-21       Impact factor: 3.240

  8 in total

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