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Digital Health-Enabled Clinical Trials in Stroke: Ready for Prime Time?
Berwanger, Otavio; Machline-Carrion, M Julia.
  • Berwanger O; Academic Research Organization (ARO), Hospital Israelita Albert Einstein, São Paulo, Brazil (O.B.).
  • Machline-Carrion MJ; Department of Medical Affairs, epHealth Primary Care Solutions, Florianópolis, Santa Catarina, Brazil (M.J.M.-C.).
Stroke ; 53(9): 2967-2975, 2022 09.
Artigo em Inglês | MEDLINE | ID: covidwho-2009245
ABSTRACT
As stroke continues to represent a major global health care problem, advancing our knowledge of new effective and safe stroke interventions represents a public health priority. The identification of these therapies requires the conduct of high-quality and well-powered randomized clinical trials. Despite its potential to inform clinical practice, traditional randomized clinical trial models have their drawbacks, including elevated costs, long completion times, failure to recruit the target sample sizes, lack of diversity, and complex operational procedures. Therefore, improving the participants' experience and trials' overall efficiency constitutes an important unmet need. Innovative models such as virtual and decentralized patient-centric trials have been proposed as a valuable strategy in this pursuit. In this narrative review, we discuss the limitations of traditional randomized clinical trial models and present the concept, advantages, and challenges of decentralized digitally enabled approaches to the conduct of stroke clinical trials.
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Texto completo: Disponível Coleções: Bases de dados internacionais Base de dados: MEDLINE Assunto principal: Acidente Vascular Cerebral Tipo de estudo: Estudo experimental / Estudo prognóstico / Ensaios controlados aleatorizados / Revisões Limite: Humanos Idioma: Inglês Revista: Stroke Ano de publicação: 2022 Tipo de documento: Artigo

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Texto completo: Disponível Coleções: Bases de dados internacionais Base de dados: MEDLINE Assunto principal: Acidente Vascular Cerebral Tipo de estudo: Estudo experimental / Estudo prognóstico / Ensaios controlados aleatorizados / Revisões Limite: Humanos Idioma: Inglês Revista: Stroke Ano de publicação: 2022 Tipo de documento: Artigo