Use of the ‘STRATIFY’ falls risk assessment in patients recovering from acute stroke
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 diagnos...
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Published in | Age and ageing Vol. 35; no. 2; pp. 138 - 143 |
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Main Authors | , , |
Format | Journal Article |
Language | English |
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England
Oxford University Press
01.03.2006
Oxford Publishing Limited (England) |
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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. |
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AbstractList | 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. To investigate the predictive validity and reliability of the STRATIFY falls risk assessment tool as applied to patients recovering from acute stroke. Prospective cohort study. Six stroke rehabilitation units in the North of England. All patients with a diagnosis of acute stroke admitted to the participating stroke units during a 6-month study period. 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. 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). 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). 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. 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. [PUBLICATION ABSTRACT] Research into the STRATIFY falls risk assessment tool in stroke rehabilitation units in the north of England. The STRATIFY tool and other measures and tests were completed with acute stroke patients on admission, later fall events were analysed and STRATIFY's performance was assessed. The need for a more stroke-specific tool was highlighted. [(BNI unique abstract)] 22 references To investigate the predictive validity and reliability of the STRATIFY falls risk assessment tool as applied to patients recovering from acute stroke.OBJECTIVESTo investigate the predictive validity and reliability of the STRATIFY falls risk assessment tool as applied to patients recovering from acute stroke.Prospective cohort study.DESIGNProspective cohort study.Six stroke rehabilitation units in the North of England.SETTINGSix stroke rehabilitation units in the North of England.All patients with a diagnosis of acute stroke admitted to the participating stroke units during a 6-month study period.SUBJECTSAll patients with a diagnosis of acute stroke admitted to the participating stroke units during a 6-month study period.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.ASSESSMENTon 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.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).OUTCOME MEASURESOccurrence 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).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).RESULTSFrom 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).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.CONCLUSIONSTRATIFY 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. |
Audience | Academic |
Author | Young, John Forster, Anne Smith, Jane |
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Notes | istex:5E476CBF33D9AE67A03403B63DABB279EDF605F3 ark:/67375/HXZ-Z575BMMX-K Address correspondence to: Jane Smith, Academic Unit of Elderly Care and Rehabilitation, St Luke’s Hospital, Bradford BD5 0NA, UK. Tel: (+44) 01274 365066. Email: stroke.research@bradfordhospitals.nhs.uk local:027 ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23 ObjectType-Article-2 ObjectType-Feature-1 |
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SubjectTerms | accidental falls Accidental Falls - prevention & control Accidental Falls - statistics & numerical data Acute Disease Adult Aged Aged, 80 and over Analysis Cardiac patients Care and treatment cerebrovascular disorders Cohort Studies elderly Falls Female Follow-Up Studies Humans Male Medical research Middle Aged Mobility Limitation Older people Predictive Value of Tests Prospective Studies Rehabilitation Reproducibility of Results Risk Assessment ROC Curve Sensitivity and Specificity Stroke Stroke (Disease) Stroke - complications Stroke Rehabilitation |
Title | Use of the ‘STRATIFY’ falls risk assessment in patients recovering from acute stroke |
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