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Digital Phenotyping in Adults with Schizophrenia: A Narrative Review.
Lane, Erlend; D'Arcey, Jessica; Kidd, Sean; Onyeaka, Henry; Alon, Noy; Joshi, Devayani; Torous, John.
Afiliación
  • Lane E; Beth Israel Deaconess Medical Center, 330 Brookline Ave, Boston, MA, 02115, USA.
  • D'Arcey J; Slaight Centre for Youth in Transition, Centre for Addiction and Mental Health, Toronto, ON, Canada.
  • Kidd S; Slaight Centre for Youth in Transition, Centre for Addiction and Mental Health, Toronto, ON, Canada.
  • Onyeaka H; Institute of Medical Science, University of Toronto, Toronto, ON, Canada.
  • Alon N; Department of Psychiatry, Massachusetts General/McLean Hospital, Boston, MA, USA.
  • Joshi D; Beth Israel Deaconess Medical Center, 330 Brookline Ave, Boston, MA, 02115, USA.
  • Torous J; Beth Israel Deaconess Medical Center, 330 Brookline Ave, Boston, MA, 02115, USA.
Curr Psychiatry Rep ; 25(11): 699-706, 2023 Nov.
Article en En | MEDLINE | ID: mdl-37861979
ABSTRACT
PURPOSE OF REVIEW As care for older adult patients with schizophrenia lacks innovation, technology can help advance the field. Specifically, digital phenotyping, the real-time monitoring of patients' behaviors through smartphone sensors and symptoms through surveys, holds promise as the method can capture the dynamicity and environmental correlates of disease. RECENT

FINDINGS:

Few studies have used digital phenotyping to elucidate adult patients' experiences with schizophrenia. In this narrative review, we summarized the literature using digital phenotyping on adults with schizophrenia. No study focused solely on older adult patients. Studies including all adult patients were heterogeneous in measures used, duration, and outcomes. Despite limited research, digital phenotyping shows potential for monitoring outcomes such as negative, positive, and functional symptoms, as well as predicting relapse. Future research should work to target the symptomology persistent in chronic schizophrenia and ensure all patients have the digital literacy required to benefit from digital interventions and homogenize datasets to allow for more robust conclusions.
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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Esquizofrenia Límite: Aged / Humans Idioma: En Revista: Curr Psychiatry Rep Asunto de la revista: PSIQUIATRIA Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Esquizofrenia Límite: Aged / Humans Idioma: En Revista: Curr Psychiatry Rep Asunto de la revista: PSIQUIATRIA Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos