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

mHealth for Data Collection and Research (981) mHealth for Symptom and Disease Monitoring, Chronic Disease Management (1428) Psychotic Disorders (162)

Published on in Vol 6, No 10 (2018): October

Capturing Rest-Activity Profiles in Schizophrenia Using Wearable and Mobile Technologies: Development, Implementation, Feasibility, and Acceptability of a Remote Monitoring Platform

Capturing Rest-Activity Profiles in Schizophrenia Using Wearable and Mobile Technologies: Development, Implementation, Feasibility, and Acceptability of a Remote Monitoring Platform

Capturing Rest-Activity Profiles in Schizophrenia Using Wearable and Mobile Technologies: Development, Implementation, Feasibility, and Acceptability of a Remote Monitoring Platform

Authors of this article:

Nicholas Meyer1, 2 Author Orcid Image ;   Maximilian Kerz3 Author Orcid Image ;   Amos Folarin3 Author Orcid Image ;   Dan W Joyce1, 2 Author Orcid Image ;   Richard Jackson3 Author Orcid Image ;   Chris Karr4, 5 Author Orcid Image ;   Richard Dobson3 Author Orcid Image ;   James MacCabe1, 2 Author Orcid Image
Article Authors Cited by (41) Tweetations (59) Metrics

Journals

  1. Bradstreet S, Allan S, Gumley A. Adverse event monitoring in mHealth for psychosis interventions provides an important opportunity for learning. Journal of Mental Health 2019;28(5):461 View
  2. Gumley A, Bradstreet S, Ainsworth J, Allan S, Alvarez-Jimenez M, Beattie L, Bell I, Birchwood M, Briggs A, Bucci S, Castagnini E, Clark A, Cotton S, Engel L, French P, Lederman R, Lewis S, Machin M, MacLennan G, Matrunola C, McLeod H, McMeekin N, Mihalopoulos C, Morton E, Norrie J, Reilly F, Schwannauer M, Singh S, Smith L, Sundram S, Thomson D, Thompson A, Whitehill H, Wilson-Kay A, Williams C, Yung A, Farhall J, Gleeson J. Early Signs Monitoring to Prevent Relapse in Psychosis and Promote Well-Being, Engagement, and Recovery: Protocol for a Feasibility Cluster Randomized Controlled Trial Harnessing Mobile Phone Technology Blended With Peer Support. JMIR Research Protocols 2020;9(1):e15058 View
  3. Nelson E, Verhagen T, Vollenbroek-Hutten M, Noordzij M. Is Wearable Technology Becoming Part of Us? Developing and Validating a Measurement Scale for Wearable Technology Embodiment. JMIR mHealth and uHealth 2019;7(8):e12771 View
  4. Barnes T, Drake R, Paton C, Cooper S, Deakin B, Ferrier I, Gregory C, Haddad P, Howes O, Jones I, Joyce E, Lewis S, Lingford-Hughes A, MacCabe J, Owens D, Patel M, Sinclair J, Stone J, Talbot P, Upthegrove R, Wieck A, Yung A. Evidence-based guidelines for the pharmacological treatment of schizophrenia: Updated recommendations from the British Association for Psychopharmacology. Journal of Psychopharmacology 2020;34(1):3 View
  5. Liao C, Wu Y, Cheng C, Ooyang C, Kang S, Fu C, Hsu Y, Hsieh C, Chen C. An Image-Based Mobile Health App for Postdrainage Monitoring: Usability Study. Journal of Medical Internet Research 2020;22(8):e17686 View
  6. Eisner E, Bucci S, Berry N, Emsley R, Barrowclough C, Drake R. Feasibility of using a smartphone app to assess early signs, basic symptoms and psychotic symptoms over six months: A preliminary report. Schizophrenia Research 2019;208:105 View
  7. Eisner E, Drake R, Berry N, Barrowclough C, Emsley R, Machin M, Bucci S. Development and Long-Term Acceptability of ExPRESS, a Mobile Phone App to Monitor Basic Symptoms and Early Signs of Psychosis Relapse. JMIR mHealth and uHealth 2019;7(3):e11568 View
  8. Benoit J, Onyeaka H, Keshavan M, Torous J. Systematic Review of Digital Phenotyping and Machine Learning in Psychosis Spectrum Illnesses. Harvard Review of Psychiatry 2020;28(5):296 View
  9. Wu J, Ho T, Chang Y, Hsu C, Tsai C, Lai F, Lin M. Wearable-Based Mobile Health App in Gastric Cancer Patients for Postoperative Physical Activity Monitoring: Focus Group Study. JMIR mHealth and uHealth 2019;7(4):e11989 View
  10. Aledavood T, Torous J, Triana Hoyos A, Naslund J, Onnela J, Keshavan M. Smartphone-Based Tracking of Sleep in Depression, Anxiety, and Psychotic Disorders. Current Psychiatry Reports 2019;21(7) View
  11. Umbricht D, Cheng W, Lipsmeier F, Bamdadian A, Lindemann M. Deep Learning-Based Human Activity Recognition for Continuous Activity and Gesture Monitoring for Schizophrenia Patients With Negative Symptoms. Frontiers in Psychiatry 2020;11 View
  12. Dewa L, Lavelle M, Pickles K, Kalorkoti C, Jaques J, Pappa S, Aylin P, Grundy Q. Young adults’ perceptions of using wearables, social media and other technologies to detect worsening mental health: A qualitative study. PLOS ONE 2019;14(9):e0222655 View
  13. Greer B, Newbery K, Cella M, Wykes T. Predicting Inpatient Aggression in Forensic Services Using Remote Monitoring Technology: Qualitative Study of Staff Perspectives. Journal of Medical Internet Research 2019;21(9):e15620 View
  14. Meyer N, Faulkner S, McCutcheon R, Pillinger T, Dijk D, MacCabe J. Sleep and Circadian Rhythm Disturbance in Remitted Schizophrenia and Bipolar Disorder: A Systematic Review and Meta-analysis. Schizophrenia Bulletin 2020;46(5):1126 View
  15. Borghouts J, Eikey E, Mark G, De Leon C, Schueller S, Schneider M, Stadnick N, Zheng K, Mukamel D, Sorkin D. Barriers to and Facilitators of User Engagement With Digital Mental Health Interventions: Systematic Review. Journal of Medical Internet Research 2021;23(3):e24387 View
  16. Meyer N, Joyce D, Karr C, de Vos M, Dijk D, Jacobson N, MacCabe J. The temporal dynamics of sleep disturbance and psychopathology in psychosis: a digital sampling study. Psychological Medicine 2022;52(13):2741 View
  17. Wang X, Vouk N, Heaukulani C, Buddhika T, Martanto W, Lee J, Morris R. HOPES: An Integrative Digital Phenotyping Platform for Data Collection, Monitoring, and Machine Learning. Journal of Medical Internet Research 2021;23(3):e23984 View
  18. Lopez-Morinigo J, Barrigón M, Porras-Segovia A, Ruiz-Ruano V, Escribano Martínez A, Escobedo-Aedo P, Sánchez Alonso S, Mata Iturralde L, Muñoz Lorenzo L, Artés-Rodríguez A, David A, Baca-García E. Use of Ecological Momentary Assessment Through a Passive Smartphone-Based App (eB2) by Patients With Schizophrenia: Acceptability Study. Journal of Medical Internet Research 2021;23(7):e26548 View
  19. 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
  20. Dabit S, Quraishi S, Jordan J, Biagianti B. Improving social functioning in people with schizophrenia-spectrum disorders via mobile experimental interventions: Results from the CLIMB pilot trial.. Schizophrenia Research: Cognition 2021;26:100211 View
  21. Lahti A, Wang D, Pei H, Baker S, Narayan V. Clinical Utility of Wearable Sensors and Patient-Reported Surveys in Patients With Schizophrenia: Noninterventional, Observational Study. JMIR Mental Health 2021;8(8):e26234 View
  22. Kwon S, Firth J, Joshi D, Torous J. Accessibility and availability of smartphone apps for schizophrenia. Schizophrenia 2022;8(1) View
  23. Fonseka L, Woo B. Wearables in Schizophrenia: Update on Current and Future Clinical Applications. JMIR mHealth and uHealth 2022;10(4):e35600 View
  24. Skeldon A, Dijk D, Meyer N, Wulff K. Extracting Circadian and Sleep Parameters from Longitudinal Data in Schizophrenia for the Design of Pragmatic Light Interventions. Schizophrenia Bulletin 2022;48(2):447 View
  25. Miller M, Raugh I, Strauss G, Harvey P. Remote digital phenotyping in serious mental illness: Focus on negative symptoms, mood symptoms, and self-awareness. Biomarkers in Neuropsychiatry 2022;6:100047 View
  26. Zhang D, Lim J, Zhou L, Dahl A. Breaking the Data Value-Privacy Paradox in Mobile Mental Health Systems Through User-Centered Privacy Protection: A Web-Based Survey Study. JMIR Mental Health 2021;8(12):e31633 View
  27. Cochran J, Fang H, Le Gallo C, Peters-Strickland T, Lindenmayer J, Reuteman-Fowler J. Participant Engagement and Symptom Improvement: Aripiprazole Tablets with Sensor for the Treatment of Schizophrenia. Patient Preference and Adherence 2022;Volume 16:1805 View
  28. Eisner E, Berry N, Morris R, Emsley R, Haddock G, Machin M, Hassan L, Bucci S. Exploring engagement with the CBT-informed Actissist smartphone application for early psychosis. Journal of Mental Health 2023;32(3):643 View
  29. Chapman B, Lucey E, Boyer E, Babu K, Smelson D, Carreiro S. Perceptions on wearable sensor-based interventions for monitoring of opioid therapy: A qualitative study. Frontiers in Digital Health 2022;4 View
  30. Tully L, Nye K, Ereshefsky S, Tryon V, Hakusui C, Savill M, Niendam T. Incorporating Community Partner Perspectives on eHealth Technology Data Sharing Practices for the California Early Psychosis Intervention Network: Qualitative Focus Group Study With a User-Centered Design Approach. JMIR Human Factors 2023;10:e44194 View
  31. Faulkner S, Drake R, Eisner E, Bee P. Sleep problems and referral intentions in mental health services: service user self-report and staff proxy report surveys. BMC Psychiatry 2023;23(1) View
  32. Zhang X, Lewis S, Carter L, Chen X, Zhou J, Wang X, Bucci S. Evaluating a smartphone-based symptom self-monitoring app for psychosis in China (YouXin): A non-randomised validity and feasibility study with a mixed-methods design. DIGITAL HEALTH 2024;10 View
  33. Moorthy P, Weinert L, Schüttler C, Svensson L, Sedlmayr B, Müller J, Nagel T. Attributes, Methods, and Frameworks Used to Evaluate Wearables and Their Companion mHealth Apps: Scoping Review. JMIR mHealth and uHealth 2024;12:e52179 View
  34. Dennard S, Patel R, Garety P, Edwards C, Gumley A. A systematic review of users experiences of using digital interventions within psychosis: a thematic synthesis of qualitative research. Social Psychiatry and Psychiatric Epidemiology 2024 View
  35. Chitale V, Henry J, Liang H, Matthews B, Baghaei N. Virtual reality analytics map (VRAM): A conceptual framework for detecting mental disorders using virtual reality data. New Ideas in Psychology 2025;76:101127 View
  36. Chivilgina O, Wangmo T, Elger B, Heinrich T, Jotterand F. mHealth for schizophrenia spectrum disorders management: A systematic review. International Journal of Social Psychiatry 2020;66(7):642 View
  37. Paraschiv E, Băjenaru L, Petrache C, Bica O, Nicolau D. AI-Driven Neuro-Monitoring: Advancing Schizophrenia Detection and Management Through Deep Learning and EEG Analysis. Future Internet 2024;16(11):424 View
  38. Walton T, Ree M, Fueggle S, Bucks R. A scoping review of sleep discrepancy methodology: What are we measuring and what does it mean?. Sleep Medicine 2025;126:32 View
  39. Zhang N, Peng Y, Guo Q. Visual analysis of research trends and hotspots in wearable electronic devices in the medical field: A bibliometric study. DIGITAL HEALTH 2024;10 View

Books/Policy Documents

  1. Volpe U, Elkholy H, Gargot T, Pinto da Costa M, Orsolini L. Tasman’s Psychiatry. View
  2. Volpe U, Elkholy H, Gargot T, Pinto da Costa M, Orsolini L. Tasman’s Psychiatry. View