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Text Message-Based Assessment of 90-Day Modified Rankin Scale After Stroke.
Abbasi, Mohammad Hossein; Yuan, Kristy; Kasner, Scott E; McPartland, Ellen; Owens, Karrima C; Sloane, Kelly L.
Afiliação
  • Abbasi MH; Department of Neurology The University of Texas at Austin Dell Medical School Austin TX USA.
  • Yuan K; Department of Neurology University of Pennsylvania, Perelman School of Medicine Philadelphia PA USA.
  • Kasner SE; Department of Neurology University of Pennsylvania, Perelman School of Medicine Philadelphia PA USA.
  • McPartland E; Department of Neurology University of Pennsylvania, Perelman School of Medicine Philadelphia PA USA.
  • Owens KC; Department of Neurology University of Pennsylvania, Perelman School of Medicine Philadelphia PA USA.
  • Sloane KL; Department of Neurology University of Pennsylvania, Perelman School of Medicine Philadelphia PA USA.
J Am Heart Assoc ; 13(10): e033301, 2024 May 21.
Article em En | MEDLINE | ID: mdl-38686866
ABSTRACT

BACKGROUND:

The modified Rankin Scale (mRS) is commonly used to measure disability after stroke, traditionally assessed through telephone or in-person evaluation. Here, we investigated the validity of mRS assessment through an automated text messaging system based on the simplified mRS questionnaire as an alternative method to traditional methods of assessment. METHODS AND

RESULTS:

A total of 250 patients admitted to 3 hospitals within the University of Pennsylvania Health System with ischemic or hemorrhagic stroke were enrolled. Participants received automated text messages sent 48 hours before their outpatient appointment at about 90 days after stroke. The mRS scores were assigned on the basis of participant responses to 2 to 4 text questions eliciting yes/no responses. The mRS was then evaluated in person or by telephone interview for comparison. Responses were compared with κ. A total of 142 patients (57%) completed the study. The spontaneous response rate to text messages was 46.5% and up to 72% with an additional direct in-person or phone call reminder. Agreement was substantial (quadratic-weighted κ=0.87 [95% CI, 0.83-0.89]) between responses derived from the automated text messaging and traditional interviews. Agreement for distinguishing functional independence (mRS 0-1) from dependence (mRS 2-5) was substantial (unweighted κ=0.79 [95% CI, 0.69-0.90]).

CONCLUSIONS:

An automated text messaging system is a feasible method for remotely obtaining the mRS after stroke and a potential alternative to traditional in-person or telephone assessment. Further studies are needed to evaluate the generalizability of text message-based approaches to stroke outcome measurement.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Avaliação da Deficiência / Envio de Mensagens de Texto Limite: Aged / Aged80 / Female / Humans / Male / Middle aged País/Região como assunto: America do norte Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Avaliação da Deficiência / Envio de Mensagens de Texto Limite: Aged / Aged80 / Female / Humans / Male / Middle aged País/Região como assunto: America do norte Idioma: En Ano de publicação: 2024 Tipo de documento: Article