Diagnostic accuracy of the STRATIFY clinical prediction rule for falls: A systematic review and meta-analysis

<p>Abstract</p> <p>Background</p> <p>The STRATIFY score is a clinical prediction rule (CPR) derived to assist clinicians to identify patients at risk of falling. The purpose of this systematic review and meta-analysis is to determine the overall diagnostic accuracy of t...

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Main Authors: Billington Jennifer, Fahey Tom, Galvin Rose
Format: Article
Language:English
Published: BMC 2012-08-01
Series:BMC Family Practice
Subjects:
Online Access:http://www.biomedcentral.com/1471-2296/13/76
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author Billington Jennifer
Fahey Tom
Galvin Rose
author_facet Billington Jennifer
Fahey Tom
Galvin Rose
author_sort Billington Jennifer
collection DOAJ
description <p>Abstract</p> <p>Background</p> <p>The STRATIFY score is a clinical prediction rule (CPR) derived to assist clinicians to identify patients at risk of falling. The purpose of this systematic review and meta-analysis is to determine the overall diagnostic accuracy of the STRATIFY rule across a variety of clinical settings.</p> <p>Methods</p> <p>A literature search was performed to identify all studies that validated the STRATIFY rule. The methodological quality of the studies was assessed using the Quality Assessment of Diagnostic Accuracy Studies tool. A STRATIFY score of ≥2 points was used to identify individuals at higher risk of falling. All included studies were combined using a bivariate random effects model to generate pooled sensitivity and specificity of STRATIFY at ≥2 points. Heterogeneity was assessed using the variance of logit transformed sensitivity and specificity.</p> <p>Results</p> <p>Seventeen studies were included in our meta-analysis, incorporating 11,378 patients. At a score ≥2 points, the STRATIFY rule is more useful at ruling out falls in those classified as low risk, with a greater pooled sensitivity estimate (0.67, 95% CI 0.52–0.80) than specificity (0.57, 95% CI 0.45 – 0.69). The sensitivity analysis which examined the performance of the rule in different settings and subgroups also showed broadly comparable results, indicating that the STRATIFY rule performs in a similar manner across a variety of different ‘at risk’ patient groups in different clinical settings.</p> <p>Conclusion</p> <p>This systematic review shows that the diagnostic accuracy of the STRATIFY rule is limited and should not be used in isolation for identifying individuals at high risk of falls in clinical practice.</p>
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spelling doaj.art-ba1c63a3ba3348278ca6443f9c54b0ef2022-12-22T01:20:43ZengBMCBMC Family Practice1471-22962012-08-011317610.1186/1471-2296-13-76Diagnostic accuracy of the STRATIFY clinical prediction rule for falls: A systematic review and meta-analysisBillington JenniferFahey TomGalvin Rose<p>Abstract</p> <p>Background</p> <p>The STRATIFY score is a clinical prediction rule (CPR) derived to assist clinicians to identify patients at risk of falling. The purpose of this systematic review and meta-analysis is to determine the overall diagnostic accuracy of the STRATIFY rule across a variety of clinical settings.</p> <p>Methods</p> <p>A literature search was performed to identify all studies that validated the STRATIFY rule. The methodological quality of the studies was assessed using the Quality Assessment of Diagnostic Accuracy Studies tool. A STRATIFY score of ≥2 points was used to identify individuals at higher risk of falling. All included studies were combined using a bivariate random effects model to generate pooled sensitivity and specificity of STRATIFY at ≥2 points. Heterogeneity was assessed using the variance of logit transformed sensitivity and specificity.</p> <p>Results</p> <p>Seventeen studies were included in our meta-analysis, incorporating 11,378 patients. At a score ≥2 points, the STRATIFY rule is more useful at ruling out falls in those classified as low risk, with a greater pooled sensitivity estimate (0.67, 95% CI 0.52–0.80) than specificity (0.57, 95% CI 0.45 – 0.69). The sensitivity analysis which examined the performance of the rule in different settings and subgroups also showed broadly comparable results, indicating that the STRATIFY rule performs in a similar manner across a variety of different ‘at risk’ patient groups in different clinical settings.</p> <p>Conclusion</p> <p>This systematic review shows that the diagnostic accuracy of the STRATIFY rule is limited and should not be used in isolation for identifying individuals at high risk of falls in clinical practice.</p>http://www.biomedcentral.com/1471-2296/13/76Falls assessmentSTRATIFYSensitivity and specificitySystematic reviewMeta-analysis
spellingShingle Billington Jennifer
Fahey Tom
Galvin Rose
Diagnostic accuracy of the STRATIFY clinical prediction rule for falls: A systematic review and meta-analysis
BMC Family Practice
Falls assessment
STRATIFY
Sensitivity and specificity
Systematic review
Meta-analysis
title Diagnostic accuracy of the STRATIFY clinical prediction rule for falls: A systematic review and meta-analysis
title_full Diagnostic accuracy of the STRATIFY clinical prediction rule for falls: A systematic review and meta-analysis
title_fullStr Diagnostic accuracy of the STRATIFY clinical prediction rule for falls: A systematic review and meta-analysis
title_full_unstemmed Diagnostic accuracy of the STRATIFY clinical prediction rule for falls: A systematic review and meta-analysis
title_short Diagnostic accuracy of the STRATIFY clinical prediction rule for falls: A systematic review and meta-analysis
title_sort diagnostic accuracy of the stratify clinical prediction rule for falls a systematic review and meta analysis
topic Falls assessment
STRATIFY
Sensitivity and specificity
Systematic review
Meta-analysis
url http://www.biomedcentral.com/1471-2296/13/76
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AT faheytom diagnosticaccuracyofthestratifyclinicalpredictionruleforfallsasystematicreviewandmetaanalysis
AT galvinrose diagnosticaccuracyofthestratifyclinicalpredictionruleforfallsasystematicreviewandmetaanalysis