Development and diagnostic validation of the Brisbane Evidence-Based Language Test.
Aphasia
diagnosis
evidence-based
sensitivity and specificity
stroke
test
Journal
Disability and rehabilitation
ISSN: 1464-5165
Titre abrégé: Disabil Rehabil
Pays: England
ID NLM: 9207179
Informations de publication
Date de publication:
Feb 2022
Feb 2022
Historique:
pubmed:
24
6
2020
medline:
11
3
2022
entrez:
24
6
2020
Statut:
ppublish
Résumé
To describe the development and determine the diagnostic accuracy of the Brisbane Evidence-Based Language Test in detecting aphasia. Consecutive acute stroke admissions ( Brisbane Evidence-Based Language Test cut-off score of ≤157 demonstrated 80.8% (LR+ =10.9) sensitivity and 92.6% (LR- =0.21) specificity. All Short Tests reported specificities of ≥92.6%. Foundation Tests I (cut-off ≤61) and II (cut-off ≤51) reported lower sensitivity (≥57.5%) given their focus on severe conditions. The Standard (cut-off ≤90) and High Level Test (cut-off ≤78) reported sensitivities of ≥72.6%. The Brisbane Evidence-Based Language Test is a sensitive assessment of aphasia. Diagnostically, the High Level Test recorded the highest psychometric capabilities of the Short Tests, equivalent to the full Brisbane Evidence-Based Language Test. The test is available for download from brisbanetest.org.Implications for rehabilitationAphasia is a debilitating condition and accurate identification of language disorders is important in healthcare.Language assessment is complex and the accuracy of assessment procedures is dependent upon a variety of factors.The Brisbane Evidence-Based Language Test is a new evidence-based language test specifically designed to adapt to varying patient need, clinical contexts and co-occurring conditions.In this cross-sectional validation study, the Brisbane Evidence-Based Language Test was found to be a sensitive measure for identifying aphasia in stroke.
Identifiants
pubmed: 32571105
doi: 10.1080/09638288.2020.1773547
doi:
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM