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Establishing the consistency of a voice recognition symbol digit modalities test analogue.
Wishart, Margaret; Everest, Marina R; Morrow, Sarah A; Rose, Jonathan; Shen, Lingkai; Feinstein, Anthony.
Afiliación
  • Wishart M; Department of Psychiatry, University of Toronto, Toronto, ON, Canada.
  • Everest MR; Department of Psychiatry, Sunnybrook Health Sciences Centre, Toronto, ON, Canada.
  • Morrow SA; Department of Clinical Neurological Sciences, University of Western Ontario, London, ON, Canada.
  • Rose J; London Health Sciences Centre, London, ON, Canada.
  • Shen L; Department of Clinical Neurological Sciences, University of Western Ontario, London, ON, Canada.
  • Feinstein A; London Health Sciences Centre, London, ON, Canada.
Mult Scler ; 29(13): 1676-1679, 2023 Nov.
Article en En | MEDLINE | ID: mdl-37842762
BACKGROUND: We previously demonstrated the convergent validity of a fully automated voice recognition analogue of the Symbol Digit Modalities Test (VR-SDMT) for evaluating processing speed in people with multiple sclerosis (pwMS). OBJECTIVE/METHODS: We aimed to replicate these results in 54 pwMS and 18 healthy controls (HCs), demonstrating the VR-SDMT's reliability. RESULTS: Significant correlations were found between the VR-SDMT and the traditional oral SDMT in the multiple sclerosis (MS) (r = -0.771, p < 0.001) and HC (r = -0.785, p < 0.001) groups. CONCLUSION: Taken collectively, our two studies demonstrate the reliability and validity of the VR-SDMT for assessing processing speed in pwMS.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Reconocimiento de Voz / Esclerosis Múltiple Límite: Humans Idioma: En Revista: Mult Scler Asunto de la revista: NEUROLOGIA Año: 2023 Tipo del documento: Article País de afiliación: Canadá Pais de publicación: Reino Unido
Texto completo
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Reconocimiento de Voz / Esclerosis Múltiple Límite: Humans Idioma: En Revista: Mult Scler Asunto de la revista: NEUROLOGIA Año: 2023 Tipo del documento: Article País de afiliación: Canadá Pais de publicación: Reino Unido