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

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 2021:1 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