Published on in Vol 9, No 7 (2021): July

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/27343, first published .
Ethical Development of Digital Phenotyping Tools for Mental Health Applications: Delphi Study

Ethical Development of Digital Phenotyping Tools for Mental Health Applications: Delphi Study

Ethical Development of Digital Phenotyping Tools for Mental Health Applications: Delphi Study

Journals

  1. Chia A, Zhang M. Digital phenotyping in psychiatry: A scoping review. Technology and Health Care 2022;30(6):1331 View
  2. Cho M, Martinez-Martin N. Epistemic Rights and Responsibilities of Digital Simulacra for Biomedicine. The American Journal of Bioethics 2023;23(9):43 View
  3. Winslow B, Mills E. Future of service member monitoring: the intersection of biology, wearables and artificial intelligence. BMJ Military Health 2023:e002306 View
  4. Pavarini G, Yosifova A, Wang K, Wilcox B, Tomat N, Lorimer J, Kariyawasam L, George L, Alí S, Singh I. Data sharing in the age of predictive psychiatry: an adolescent perspective. Evidence Based Mental Health 2022;25(2):69 View
  5. Malhi G, Bell E. Questions in Psychiatry (QuiP): Using your Apple all day, might keep the doctor away?. Bipolar Disorders 2021;23(8):838 View
  6. Queiroz G. Second Mind: Considerações Ético‐Legais sobre a Digitalização em Saúde Mental no Contexto Português. Revista Portuguesa de Psiquiatria e Saúde Mental 2022;8(3):96 View
  7. Baumeister H, Garatva P, Pryss R, Ropinski T, Montag C. Digitale Phänotypisierung in der Psychologie – ein Quantensprung in der psychologischen Forschung?. Psychologische Rundschau 2023;74(2):89 View
  8. Charron E, White A, Carlston K, Abdullah W, Baylis J, Pierce S, Businelle M, Gordon A, Krans E, Smid M, Cochran G. Prospective acceptability of digital phenotyping among pregnant and parenting people with opioid use disorder: A multisite qualitative study. Frontiers in Psychiatry 2023;14 View
  9. Shen F, Baum M, Martinez-Martin N, Miner A, Abraham M, Brownstein C, Cortez N, Evans B, Germine L, Glahn D, Grady C, Holm I, Hurley E, Kimble S, Lázaro-Muñoz G, Leary K, Marks M, Monette P, Onnela J, O’Rourke P, Rauch S, Shachar C, Sen S, Vahia I, Vassy J, Baker J, Bierer B, Silverman B. Returning Individual Research Results from Digital Phenotyping in Psychiatry. The American Journal of Bioethics 2024;24(2):69 View
  10. Smith K, Blease C, Faurholt-Jepsen M, Firth J, Van Daele T, Moreno C, Carlbring P, Ebner-Priemer U, Koutsouleris N, Riper H, Mouchabac S, Torous J, Cipriani A. Digital mental health: challenges and next steps. BMJ Mental Health 2023;26(1):e300670 View
  11. Marciano L, Vocaj E, Bekalu M, La Tona A, Rocchi G, Viswanath K. The Use of Mobile Assessments for Monitoring Mental Health in Youth: Umbrella Review. Journal of Medical Internet Research 2023;25:e45540 View
  12. Oudin A, Maatoug R, Bourla A, Ferreri F, Bonnot O, Millet B, Schoeller F, Mouchabac S, Adrien V. Digital Phenotyping: Data-Driven Psychiatry to Redefine Mental Health. Journal of Medical Internet Research 2023;25:e44502 View
  13. Pizzoli S, Monzani D, Conti L, Ferraris G, Grasso R, Pravettoni G. Issues and opportunities of digital phenotyping: ecological momentary assessment and behavioral sensing in protecting the young from suicide. Frontiers in Psychology 2023;14 View
  14. Worthington M, Christie R, Masino A, Kark S. Identifying Unmet Needs in Major Depressive Disorder Using a Computer-Assisted Alternative to Conventional Thematic Analysis: Qualitative Interview Study With Psychiatrists. JMIR Formative Research 2024;8:e48894 View
  15. Tani N, Fujihara H, Ishii K, Kamakura Y, Tsunemi M, Yamaguchi C, Eguchi H, Imamura K, Kanamori S, Kojimahara N, Ebara T. What digital health technology types are used in mental health prevention and intervention? Review of systematic reviews for systematization of technologies. Journal of Occupational Health 2024;66(1) View
  16. Fuhr D, Wolf-Ostermann K, Hoel V, Zeeb H. Digitale Technologien zur Verbesserung der psychischen Gesundheit. Bundesgesundheitsblatt - Gesundheitsforschung - Gesundheitsschutz 2024;67(3):332 View
  17. Bassil K. Balancing the Double-Edged Implications of AI in Psychiatric Digital Phenotyping. The American Journal of Bioethics 2024;24(2):113 View
  18. Verbeke K, Jain C, Shpendi A, Borry P. Safeguarding Users of Consumer Mental Health Apps in Research and Product Improvement Studies: an Interview Study. Neuroethics 2024;17(1) View
  19. Hurley M, Sonig A, Herrington J, Storch E, Lázaro-Muñoz G, Blumenthal-Barby J, Kostick-Quenet K. Ethical considerations for integrating multimodal computer perception and neurotechnology. Frontiers in Human Neuroscience 2024;18 View
  20. Kim S, Baek S, Cho C. Psychosocial and digital intervention for patients with schizophrenia. Journal of the Korean Medical Association 2024;67(2):103 View
  21. Pavarini G, Lyreskog D, Newby D, Lorimer J, Bennett V, Jacobs E, Winchester L, Nevado-Holgado A, Singh I. Tracing Tomorrow: young people’s preferences and values related to use of personal sensing to predict mental health, using a digital game methodology. BMJ Mental Health 2024;27(1):e300897 View
  22. Harris C, Tang Y, Birnbaum E, Cherian C, Mendhe D, Chen M. Digital Neuropsychology beyond Computerized Cognitive Assessment: Applications of Novel Digital Technologies. Archives of Clinical Neuropsychology 2024;39(3):290 View
  23. Franklin G, Stephens R, Piracha M, Tiosano S, Lehouillier F, Koppel R, Elkin P. The Sociodemographic Biases in Machine Learning Algorithms: A Biomedical Informatics Perspective. Life 2024;14(6):652 View
  24. Adams J. Examining Ethical and Social Implications of Digital Mental Health Technologies Through Expert Interviews and Sociotechnical Systems Theory. Digital Society 2024;3(2) View

Books/Policy Documents

  1. Friedrich O, Schleidgen S, Seifert J. Medizin – Technik – Ethik. View
  2. Gooding P. Handbook of Disability. View
  3. Gooding P. Handbook of Disability. View