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Digital mental health: challenges and next steps.
Smith, Katharine A; Blease, Charlotte; Faurholt-Jepsen, Maria; Firth, Joseph; Van Daele, Tom; Moreno, Carmen; Carlbring, Per; Ebner-Priemer, Ulrich W; Koutsouleris, Nikolaos; Riper, Heleen; Mouchabac, Stephane; Torous, John; Cipriani, Andrea.
  • Smith KA; Department of Psychiatry, University of Oxford, Oxford, UK katharine.smith@psych.ox.ac.uk.
  • Blease C; Oxford Health NHS Foundation Trust, Oxford, UK.
  • Faurholt-Jepsen M; Oxford Precision Psychiatry Lab, NIHR Oxford Health Biomedical Research Centre, Oxford, UK.
  • Firth J; Division of Digital Psychiatry, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts, USA.
  • Van Daele T; Participatory eHealth and Health Data Research Group, Department of Women's and Children's Health, Uppsala University, Uppsala, Sweden.
  • Moreno C; Copenhagen Affective Disorder Research Center (CADIC), Psychiatric Center Copenhagen, Frederiksberg, Denmark.
  • Carlbring P; Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Denmark.
  • Ebner-Priemer UW; Division of Psychology and Mental Health, Manchester Academic Health Science Centre, The University of Manchester, Manchester, UK.
  • Koutsouleris N; Manchester Academic Health Science Centre, Greater Manchester Mental Health NHS Foundation Trust, Manchester, UK.
  • Riper H; Expertise Unit Psychology, Technology and Society, Thomas More University of Applied Sciences, Mechelen, Belgium.
  • Mouchabac S; Department of Child and Adolescent Psychiatry, Institute of Psychiatry and Mental Health, Hospital General Universitario Gregorio Marañón, IiSGM, CIBERSAM, ISCIII, Universidad Complutense de Madrid Facultad de Medicina, Madrid, Spain.
  • Torous J; Department of Psychology, Stockholm University, Stockholm, Sweden.
  • Cipriani A; Mental mHealth Lab, Institute of Sports and Sports Science, Karlsruhe Institute of Technology, Karlsruhe, Germany.
BMJ Ment Health ; 26(1)2023 Feb.
Artículo en Inglés | MEDLINE | ID: covidwho-2326374
ABSTRACT
Digital innovations in mental health offer great potential, but present unique challenges. Using a consensus development panel approach, an expert, international, cross-disciplinary panel met to provide a framework to conceptualise digital mental health innovations, research into mechanisms and effectiveness and approaches for clinical implementation. Key questions and outputs from the group were agreed by consensus, and are presented and discussed in the text and supported by case examples in an accompanying appendix. A number of key themes emerged. (1) Digital approaches may work best across traditional diagnostic systems we do not have effective ontologies of mental illness and transdiagnostic/symptom-based approaches may be more fruitful. (2) Approaches in clinical implementation of digital tools/interventions need to be creative and require organisational change not only do clinicians and patients need training and education to be more confident and skilled in using digital technologies to support shared care decision-making, but traditional roles need to be extended, with clinicians working alongside digital navigators and non-clinicians who are delivering protocolised treatments. (3) Designing appropriate studies to measure the effectiveness of implementation is also key including digital data raises unique ethical issues, and measurement of potential harms is only just beginning. (4) Accessibility and codesign are needed to ensure innovations are long lasting. (5) Standardised guidelines for reporting would ensure effective synthesis of the evidence to inform clinical implementation. COVID-19 and the transition to virtual consultations have shown us the potential for digital innovations to improve access and quality of care in mental health now is the ideal time to act.
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Texto completo: Disponible Colección: Bases de datos internacionales Base de datos: MEDLINE Asunto principal: COVID-19 / Trastornos Mentales Tipo de estudio: Estudios diagnósticos / Estudio observacional / Estudio pronóstico / Ensayo controlado aleatorizado Tópicos: Covid persistente Límite: Humanos Idioma: Inglés Año: 2023 Tipo del documento: Artículo País de afiliación: Bmjment-2023-300670

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Texto completo: Disponible Colección: Bases de datos internacionales Base de datos: MEDLINE Asunto principal: COVID-19 / Trastornos Mentales Tipo de estudio: Estudios diagnósticos / Estudio observacional / Estudio pronóstico / Ensayo controlado aleatorizado Tópicos: Covid persistente Límite: Humanos Idioma: Inglés Año: 2023 Tipo del documento: Artículo País de afiliación: Bmjment-2023-300670