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    Por favor, use este identificador para citar o enlazar este ítem:https://uvadoc.uva.es/handle/10324/63453

    Título
    Randomized controlled trial evaluating the benefit of a novel clinical decision support system for the management of COVID-19 patients in home quarantine: A study protocol
    Autor
    Alcoceba Herrero, IreneAutoridad UVA Orcid
    Coco Martín, María BegoñaAutoridad UVA Orcid
    Leal Vega, LuisAutoridad UVA Orcid
    Peña de Diego, Lidia
    Martín Gutierrez, AdriánAutoridad UVA
    Peña de Diego, Lidia
    Dueñas Gutiérrez, Carlos JesúsAutoridad UVA
    Castro Rodríguez, Flor de
    Royuela Ruiz, Pablo
    Arenillas Lara, Juan FranciscoAutoridad UVA
    Año del Documento
    2023
    Editorial
    MDPI
    Descripción
    Producción Científica
    Documento Fuente
    International Journal of Environmental Research and Public Health, 2023, Vol. 20, Nº. 3, 2300
    Résumé
    (1) Background: We present the protocol of a randomized controlled trial designed to evaluate the benefit of a novel clinical decision support system for the management of patients with COVID-19. (2) Methods: The study will recruit up to 500 participants (250 cases and 250 controls). Both groups will receive the conventional telephone follow-up protocol by primary care and will also be provided with access to a mobile application, in which they will be able to report their symptoms three times a day. In addition, patients in the active group will receive a wearable smartwatch and a pulse oximeter at home for real-time monitoring. The measured data will be visualized by primary care and emergency health service professionals, allowing them to detect in real time the progression and complications of the disease in order to promote early therapeutic interventions based on their clinical judgement. (3) Results: Ethical approval for this study was obtained from the Drug Research Ethics Committee of the Valladolid East Health Area (CASVE-NM-21-516). The results obtained from this study will form part of the thesis of two PhD students and will be disseminated through publication in a peer-reviewed journal. (4) Conclusions: The implementation of this telemonitoring system can be extrapolated to patients with other similar diseases, such as chronic diseases, with a high prevalence and need for close monitoring.
    Materias (normalizadas)
    COVID-19
    Decision support systems
    Decision making
    Toma de decisiones
    Big data
    Artificial intelligence
    Technological innovations
    Innovaciones tecnológicas
    Telemedicine
    Telemedicina
    Medical informatics
    Wearable technology
    Monitoring
    Patient monitoring - Data processing
    Public health
    Materias Unesco
    32 Ciencias Médicas
    1203.17 Informática
    1203.04 Inteligencia Artificial
    3212 Salud Publica
    ISSN
    1660-4601
    Revisión por pares
    SI
    DOI
    10.3390/ijerph20032300
    Patrocinador
    Junta de Castilla y León e Instituto de Salud Carlos III - (grant COV20/00539)
    Version del Editor
    https://www.mdpi.com/1660-4601/20/3/2300
    Propietario de los Derechos
    © 2023 The authors
    Idioma
    eng
    URI
    https://uvadoc.uva.es/handle/10324/63453
    Tipo de versión
    info:eu-repo/semantics/publishedVersion
    Derechos
    openAccess
    Aparece en las colecciones
    • DEP23 - Artículos de revista [70]
    Afficher la notice complète
    Fichier(s) constituant ce document
    Nombre:
    Randomized-Controlled-Trial.pdf
    Tamaño:
    682.0Ko
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    Atribución 4.0 InternacionalExcepté là où spécifié autrement, la license de ce document est décrite en tant que Atribución 4.0 Internacional

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