This paper is in the following e-collection/theme issue:

e-Mental Health and Cyberpsychology (930) Participatory Medicine & E-Patients (578) Ecological Momentary Assessment (EMA) (239)

Published on in Vol 20 , No 1 (2018) :January

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/7412, first published .
From eHealth to iHealth: Transition to Participatory and Personalized Medicine in Mental Health

From eHealth to iHealth: Transition to Participatory and Personalized Medicine in Mental Health

From eHealth to iHealth: Transition to Participatory and Personalized Medicine in Mental Health

Authors of this article:

Sofian Berrouiguet 1, 2 Author Orcid Image ;   Mercedes M Perez-Rodriguez 3 Author Orcid Image ;   Mark Larsen 4 Author Orcid Image ;   Enrique Baca-García 5 Author Orcid Image ;   Philippe Courtet 6 Author Orcid Image ;   Maria Oquendo 7 Author Orcid Image
Article Authors Cited by (58) Tweetations (51) Metrics

Journals

  1. Toki E, Fakitsa P, Drosos K, Pange J, Siafaka V, Karampas A, Petrikis P. Pragmatics Communication Deficiencies and the Role of Gamification. The European Journal of Social & Behavioural Sciences 2018;22(2):73 View
  2. Han J, Kang H, Kwon G. Impact of intelligent healthscape quality on nurse job outcomes and job satisfaction: A test of the moderating effect of innovativeness. Journal of Nursing Management 2020;28(1):43 View
  3. Cao J, Truong A, Banu S, Shah A, Sabharwal A, Moukaddam N. Tracking and Predicting Depressive Symptoms of Adolescents Using Smartphone-Based Self-Reports, Parental Evaluations, and Passive Phone Sensor Data: Development and Usability Study. JMIR Mental Health 2020;7(1):e14045 View
  4. Lemey C, Larsen M, Devylder J, Courtet P, Billot R, Lenca P, Walter M, Baca-García E, Berrouiguet S. Clinicians’ Concerns About Mobile Ecological Momentary Assessment Tools Designed for Emerging Psychiatric Problems: Prospective Acceptability Assessment of the MEmind App. Journal of Medical Internet Research 2019;21(4):e10111 View
  5. Wan Z, Zhang H, Chen J, Zhou H, Yang J, Zhong N. WaaS architecture-driven depressive mood status quantitative analysis based on forehead EEG and self-rating tool. Brain Informatics 2018;5(2) View
  6. Molina R, Porras-Segovia A, Ruiz M, Baca-García E. eHealth tools for assessing psychomotor activity in schizophrenia: a systematic review. Brazilian Journal of Psychiatry 2021;43(1):102 View
  7. Oyebode O, Alqahtani F, Orji R. Using Machine Learning and Thematic Analysis Methods to Evaluate Mental Health Apps Based on User Reviews. IEEE Access 2020;8:111141 View
  8. Fuller-Tyszkiewicz M, Richardson B, Little K, Teague S, Hartley-Clark L, Capic T, Khor S, Cummins R, Olsson C, Hutchinson D. Efficacy of a Smartphone App Intervention for Reducing Caregiver Stress: Randomized Controlled Trial. JMIR Mental Health 2020;7(7):e17541 View
  9. Chiu H, Tu Y. Reply to Berrouiguet et al.: Suicide prevention strategies: A need for ecological sleep monitoring. Sleep Medicine Reviews 2019;47:127 View
  10. Schimmer R, Orre C, Öberg U, Danielsson K, Hörnsten Å. Digital Person-Centered Self-Management Support for People With Type 2 Diabetes: Qualitative Study Exploring Design Challenges. JMIR Diabetes 2019;4(3):e10702 View
  11. Briffault X, Morgiève M, Courtet P. From e-Health to i-Health: Prospective Reflexions on the Use of Intelligent Systems in Mental Health Care. Brain Sciences 2018;8(6):98 View
  12. Kaushik A. Biomedical Nanotechnology Related Grand Challenges and Perspectives. Frontiers in Nanotechnology 2019;1 View
  13. Alonso S, de la Torre Díez I, Zapiraín B. Predictive, Personalized, Preventive and Participatory (4P) Medicine Applied to Telemedicine and eHealth in the Literature. Journal of Medical Systems 2019;43(5) View
  14. Berrouiguet S, Le Moal V, Guillodo É, Le Floch A, Lenca P, Billot R, Walter M. Prévention du suicide et santé connectée. médecine/sciences 2018;34(8-9):730 View
  15. Melchiorre M, Lamura G, Barbabella F, MacLure K. eHealth for people with multimorbidity: Results from the ICARE4EU project and insights from the “10 e’s” by Gunther Eysenbach. PLOS ONE 2018;13(11):e0207292 View
  16. Augustin M, Wimmer J, Biedermann T, Blaga R, Dierks C, Djamei V, Elmer A, Elsner P, Enk A, Gass S, Henningsen M, Hofman-Wellenhof R, von Kiedrowski R, Kunz H, Liebram C, Navarini A, Otten M, Reusch M, Schüller C, Zink A, Strömer K. Praxis der Teledermatologie. JDDG: Journal der Deutschen Dermatologischen Gesellschaft 2018;16:6 View
  17. Porras-Segovia A, Díaz-Oliván I, Gutiérrez-Rojas L, Dunne H, Moreno M, Baca-García E. Apps for Depression: Are They Ready to Work?. Current Psychiatry Reports 2020;22(3) View
  18. Agteren J, Iasiello M. Advancing our understanding of mental wellbeing and mental health: The call to embrace complexity over simplification. Australian Psychologist 2020;55(4):307 View
  19. Berrouiguet S, Larsen M, Walter M, Ropars J. Comment on “Associations between sleep duration and suicidality in adolescents: A systematic review and dose-response meta-analysis”. Sleep Medicine Reviews 2019;47:125 View
  20. Han J, Kang H, Kwon G. A measurement for evaluating the environmental quality of advanced healthcare facilities: Intelligent healthscape quality for medical staff. Building and Environment 2018;144:532 View
  21. Ziemssen T, Kern R, Voigt I, Haase R. Data Collection in Multiple Sclerosis: The MSDS Approach. Frontiers in Neurology 2020;11 View
  22. Lopez‐Castroman J, Moulahi B, Azé J, Bringay S, Deninotti J, Guillaume S, Baca‐Garcia E. Mining social networks to improve suicide prevention: A scoping review. Journal of Neuroscience Research 2020;98(4):616 View
  23. Kim H, Lee S, Lee S, Hong S, Kang H, Kim N. Depression Prediction by Using Ecological Momentary Assessment, Actiwatch Data, and Machine Learning: Observational Study on Older Adults Living Alone. JMIR mHealth and uHealth 2019;7(10):e14149 View
  24. Palmius N, Saunders K, Carr O, Geddes J, Goodwin G, De Vos M. Group-Personalized Regression Models for Predicting Mental Health Scores From Objective Mobile Phone Data Streams: Observational Study. Journal of Medical Internet Research 2018;20(10):e10194 View
  25. Guillodo E, Lemey C, Simonnet M, Walter M, Baca-García E, Masetti V, Moga S, Larsen M, Ropars J, Berrouiguet S. Clinical Applications of Mobile Health Wearable–Based Sleep Monitoring: Systematic Review. JMIR mHealth and uHealth 2020;8(4):e10733 View
  26. Tan Y, Teng Z, Qiu Y, Tang H, Xiang H, Chen J. Potential of Mobile Technology to Relieve the Urgent Mental Health Needs in China: Web-Based Survey. JMIR mHealth and uHealth 2020;8(7):e16215 View
  27. Wu D, Xin C, Bindhu S, Xu C, Sachdeva J, Brown J, Jung H. Clinician Perspectives and Design Implications in Using Patient-Generated Health Data to Improve Mental Health Practices: Mixed Methods Study. JMIR Formative Research 2020;4(8):e18123 View
  28. Han J, Kang H, Kwon G. A Systematic Underpinning and Framing of the Servicescape: Reflections on Future Challenges in Healthcare Services. International Journal of Environmental Research and Public Health 2018;15(3):509 View
  29. Mukhiya S, Wake J, Inal Y, Pun K, Lamo Y. Adaptive Elements in Internet-Delivered Psychological Treatment Systems: Systematic Review. Journal of Medical Internet Research 2020;22(11):e21066 View
  30. Perna G, Cuniberti F, Nemeroff C. Special issue editorial: Personalized medicine in psychiatry in the COVID-19 era: Fighting the impact of the pandemic on mental health. Personalized Medicine in Psychiatry 2021;27-28:100077 View
  31. Zidaru T, Morrow E, Stockley R. Ensuring patient and public involvement in the transition to AI‐assisted mental health care: A systematic scoping review and agenda for design justice. Health Expectations 2021;24(4):1072 View
  32. Sels L, Homan S, Ries A, Santhanam P, Scheerer H, Colla M, Vetter S, Seifritz E, Galatzer-Levy I, Kowatsch T, Scholz U, Kleim B. SIMON: A Digital Protocol to Monitor and Predict Suicidal Ideation. Frontiers in Psychiatry 2021;12 View
  33. Aziz Butt S, Khalid A, Ali A. A software development for medical with a multiple decision taking functionalities. Advances in Engineering Software 2022;174:103294 View
  34. Alhasani M, Mulchandani D, Oyebode O, Baghaei N, Orji R. A Systematic and Comparative Review of Behavior Change Strategies in Stress Management Apps: Opportunities for Improvement. Frontiers in Public Health 2022;10 View
  35. Lee J, Solomonov N, Banerjee S, Alexopoulos G, Sirey J. Use of Passive Sensing in Psychotherapy Studies in Late Life: A Pilot Example, Opportunities and Challenges. Frontiers in Psychiatry 2021;12 View
  36. ter Harmsel J, Smulders L, Noordzij M, Swinkels L, Goudriaan A, Popma A, van der Pol T. Forensic Psychiatric Outpatients’ and Therapists’ Perspectives on a Wearable Biocueing App (Sense-IT) as an Addition to Aggression Regulation Therapy: Qualitative Focus Group and Interview Study. JMIR Formative Research 2023;7:e40237 View
  37. Fassnacht D, Ali K, van Agteren J, Iasiello M, Mavrangelos T, Furber G, Kyrios M. A Group-Facilitated, Internet-Based Intervention to Promote Mental Health and Well-Being in a Vulnerable Population of University Students: Randomized Controlled Trial of the Be Well Plan Program. JMIR Mental Health 2022;9(5):e37292 View
  38. Rudawska I. Can eHealth Support Managing an Integrated Health Service Delivery? A Case Study of an Integrated Care Program in Poland. Procedia Computer Science 2022;207:1519 View
  39. Kivelä L, van der Does W, Riese H, Antypa N. Don't Miss the Moment: A Systematic Review of Ecological Momentary Assessment in Suicide Research. Frontiers in Digital Health 2022;4 View
  40. Barrigon M, Porras-Segovia A, Courtet P, Lopez-Castroman J, Berrouiguet S, Pérez-Rodríguez M, Artes A, Baca-Garcia E. Smartphone-based Ecological Momentary Intervention for secondary prevention of suicidal thoughts and behaviour: protocol for the SmartCrisis V.2.0 randomised clinical trial. BMJ Open 2022;12(9):e051807 View
  41. Bouabida K, Malas K, Talbot A, Desrosiers M, Lavoie F, Lebouché B, Taguemout M, Rafie E, Lessard D, Pomey M. Remote Patient Monitoring Program for COVID-19 Patients Following Hospital Discharge: A Cross-Sectional Study. Frontiers in Digital Health 2021;3 View
  42. Chun S, Nam K. Analyzation and prioritization of healthcare environment criteria for designing geriatric long-term care private hospitals in South Korea using an analytic hierarchy process. Architectural Engineering and Design Management 2022;18(5):723 View
  43. Li X, Arif M. Research on the Application of Data Mining Technology in College Students’ Mental Health Education in the Network Age. Security and Communication Networks 2022;2022:1 View
  44. van Agteren J, Iasiello M, Ali K, Fassnacht D, Furber G, Woodyatt L, Howard A, Kyrios M. Using the Intervention Mapping Approach to Develop a Mental Health Intervention: A Case Study on Improving the Reporting Standards for Developing Psychological Interventions. Frontiers in Psychology 2021;12 View
  45. Moukaddam N, Saragadam V, Abbasi M, Barnett M, Kumar Vadathya A, Veeraraghavan A, Sabharwal A. Evolution of Mood Symptomatology Through the COVID-19 Pandemic: Findings From the CovidSense Longitudinal Study. Cureus 2022 View
  46. Nitschke I, Nitschke S, Haffner C, Sobotta B, Jockusch J. On the Necessity of a Geriatric Oral Health Care Transition Model: Towards an Inclusive and Resource-Oriented Transition Process. International Journal of Environmental Research and Public Health 2022;19(10):6148 View
  47. Pavlov K, Montalvo F, Sasser J, Jones L, McConnell D, Smither J. Applying User Experience Principles to Patient Experiences. Proceedings of the Human Factors and Ergonomics Society Annual Meeting 2022;66(1):761 View
  48. Pradhan A, Lahare P, Sinha P, Singh N, Gupta B, Kuca K, Ghosh K, Krejcar O. Biosensors as Nano-Analytical Tools for COVID-19 Detection. Sensors 2021;21(23):7823 View
  49. Thibaudeau E, Raucher-Chéné D, Lecardeur L, Cellard C, Lepage M, Lecomte T. Les interventions psychosociales destinées aux personnes composant avec un premier épisode psychotique : une revue narrative et critique. Santé mentale au Québec 2021;46(2):217 View

Books/Policy Documents

  1. Sebri V, Savioni L. P5 eHealth: An Agenda for the Health Technologies of the Future. View
  2. Wason R, Rana P, Jain V. Applications of Deep Learning and Big IoT on Personalized Healthcare Services. View
  3. . Fundamentals of Telemedicine and Telehealth. View
  4. de Araújo Novaes M. Fundamentals of Telemedicine and Telehealth. View
  5. Wason R, Rana P, Jain V. Research Anthology on Mental Health Stigma, Education, and Treatment. View
  6. Briffault X. Traité de bioéthique. View