Year: 2023
Type: review
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.
Source: BMJ Mental Health
Institutions: Oxford Health NHS Foundation Trust, National Institute for Health and Care Research, University of Oxford, NIHR Oxford Biomedical Research Centre, Uppsala University, Beth Israel Deaconess Medical Center, Harvard University, University of Copenhagen, Greater Manchester Mental Health NHS Foundation Trust, Manchester Academic Health Science Centre, University of Manchester, Thomas More Kempen, Universidad Complutense de Madrid, Instituto de Salud Carlos III, Hospital General Universitario Gregorio Marañón, Centro de Investigación Biomédica en Red de Salud Mental, Stockholm University, Karlsruhe Institute of Technology, Heidelberg University, Central Institute of Mental Health, King's College London, Max Planck Institute of Psychiatry, Ludwig-Maximilians-Universität München, University of Turku, Amsterdam Public Health, Amsterdam University Medical Centers, Vrije Universiteit Amsterdam, Centre National de la Recherche Scientifique, Inserm, Sorbonne Université, Hôpital Saint-Antoine, Pitié-Salpêtrière Hospital, Institut du Cerveau
Language: English
Subfield: Applied Psychology
Field: Psychology
Domain: Social Sciences
Open Access status: diamond
Funders: Fundación Alicia Koplowitz, UK Research and Innovation, National Institute for Health and Care Research, European Commission, Ministerio de Ciencia e Innovación, Angelini Pharma, Innovative Medicines Initiative, National Institutes of Health, Horizon 2020 Framework Programme, HORIZON EUROPE Framework Programme, Instituto de Salud Carlos III, European Regional Development Fund, National Institute of Mental Health, NextGenerationEU
Awards: Bases etiopatológicas de la disregulación emocional en adolescentes con depresión, G1422126554, G1637745740, conect4children (COllaborative Network for European Clinical Trials For Children), Psych-STRATA - A Stratified Treatment Algorithm in Psychiatry: A program on stratified pharmacogenomics in severe mental illness, G2017605187, G2572068296, Running in the FAMILY - Understanding and predicting the intergenerational transmission of mental illness, G2606538822, G2628364946, G2792775314, Choosing the right antidepressant for depressive disorder, G3147750816, Boosting Societal Adaptation and Mental Health in a Rapidly Digitalizing, Post-Pandemic Europe, G3560035619, G3572747598, G3629701755, G3891300633, G3920792168, Estudio integral de variación genética y molecular de una cohorte española de trastornos del espectro autista y diseño de algoritmos de diagnóstico genético y de biotipos terapéuticos. Cohorte ESTEA., G4630814196, G4637685055, G4937468798, G5506542132, G5547416247, G5982772783, G5983053349, G6088196853, G6272113452, G6446975009, G7050644217, G7336256237, G7714202236, G8351277590, G842865865, G8458138746, G8786573544, G8824911526, G8858395165, G8878202614
OpenAlex ID: W4377002091