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Trajectories of Anxiety Symptoms for COVID-19 Patients Using Multimodal Data Collected from Telemedicine.
Sung, Sumi; Hwan Kim, Su; Kim, Youlim; You, Mirinae; Lee, Hannah; Her, Soojin; Bae, Ye Seul; Chie, Eui Kyu.
  • Sung S; Office of Hospital Information, Seoul National University Hospital, Seoul, Korea.
  • Hwan Kim S; Biomedical Research Institute, Seoul National University Hospital, Seoul, Korea.
  • Kim Y; Biomedical Research Institute, Seoul National University Hospital, Seoul, Korea.
  • You M; Office of Hospital Information, Seoul National University Hospital, Seoul, Korea.
  • Lee H; Office of Hospital Information, Seoul National University Hospital, Seoul, Korea.
  • Her S; Office of Hospital Information, Seoul National University Hospital, Seoul, Korea.
  • Bae YS; Office of Hospital Information, Seoul National University Hospital, Seoul, Korea.
  • Chie EK; Department of Family Medicine, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine.
Stud Health Technol Inform ; 302: 1015-1016, 2023 May 18.
Artículo en Inglés | MEDLINE | ID: covidwho-2326527
ABSTRACT
We designed and developed Remote Patient Monitoring (RPM) system specific for coronavirus (COVID-19) patients, and collected multimodal data. Using the collected data, we explored the trajectories of anxiety symptoms for 199 COVID-19 patients quarantined at home. Two classes were identified using latent class linear mixed model. Thirty-six patients showed an exacerbation of anxiety. Presence of initial psychological symptoms, pain on the start day of quarantine, and abdominal discomfort at one month after finishing the quarantine were associated with exacerbation of anxiety.
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Texto completo: Disponible Colección: Bases de datos internacionales Base de datos: MEDLINE Asunto principal: Telemedicina / COVID-19 Tipo de estudio: Investigación cualitativa Límite: Humanos Idioma: Inglés Revista: Stud Health Technol Inform Asunto de la revista: Informática Médica / Investigación sobre Servicios de Salud Año: 2023 Tipo del documento: Artículo

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Texto completo: Disponible Colección: Bases de datos internacionales Base de datos: MEDLINE Asunto principal: Telemedicina / COVID-19 Tipo de estudio: Investigación cualitativa Límite: Humanos Idioma: Inglés Revista: Stud Health Technol Inform Asunto de la revista: Informática Médica / Investigación sobre Servicios de Salud Año: 2023 Tipo del documento: Artículo