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

Mobile Health (mhealth) (3188) Wearable Devices and Sensors (1014) Forensic Psychiatry (6)

Published on in Vol 21, No 9 (2019): September

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/15620, first published .
Predicting Inpatient Aggression in Forensic Services Using Remote Monitoring Technology: Qualitative Study of Staff Perspectives

Predicting Inpatient Aggression in Forensic Services Using Remote Monitoring Technology: Qualitative Study of Staff Perspectives

Predicting Inpatient Aggression in Forensic Services Using Remote Monitoring Technology: Qualitative Study of Staff Perspectives

Authors of this article:

Ben Greer1 Author Orcid Image ;   Katie Newbery1, 2 Author Orcid Image ;   Matteo Cella1, 2 Author Orcid Image ;   Til Wykes1, 2 Author Orcid Image
Article Authors Cited by (12) Tweetations (22) Metrics

Journals

  1. Hammarström L, Devik S, Hellzén O, Häggström M. The path of compassion in forensic psychiatry. Archives of Psychiatric Nursing 2020;34(6):435 View
  2. McLoughlin L, Carey C, Dooley S, Kennedy H, McLoughlin I. An observational study of a cross platform risk assessment mobile application in a forensic inpatient setting. Journal of Psychiatric Research 2021;138:388 View
  3. Simons R, Koordeman R, de Looff P, Otten R. Physiological Measurements of Stress Preceding Incidents of Challenging Behavior in People With Severe to Profound Intellectual Disabilities: Longitudinal Study Protocol of Single-Case Studies. JMIR Research Protocols 2021;10(7):e24911 View
  4. Jameel L, Valmaggia L, Barnes G, Cella M. mHealth technology to assess, monitor and treat daily functioning difficulties in people with severe mental illness: A systematic review. Journal of Psychiatric Research 2022;145:35 View
  5. Jilka S, Hudson G, Jansli S, Negbenose E, Wilson E, Odoi C, Mutepua M, Wykes T. How to make study documents clear and relevant: the impact of patient involvement. BJPsych Open 2021;7(6) View
  6. de Looff P, Cornet L, de Kogel C, Fernández-Castilla B, Embregts P, Didden R, Nijman H. Heart rate and skin conductance associations with physical aggression, psychopathy, antisocial personality disorder and conduct disorder: An updated meta-analysis. Neuroscience & Biobehavioral Reviews 2022;132:553 View
  7. Anastasi G, Bambi S. Utilization and effects of security technologies in mental health: A scoping review. International Journal of Mental Health Nursing 2023;32(6):1561 View
  8. Dewa L, Broyd J, Hira R, Dudley A, Hafferty J, Bates R, Aylin P. A service evaluation of passive remote monitoring technology for patients in a high-secure forensic psychiatric hospital: a qualitative study. BMC Psychiatry 2023;23(1) View
  9. Rogan J, Bucci S, Firth J. Health Care Professionals’ Views on the Use of Passive Sensing, AI, and Machine Learning in Mental Health Care: Systematic Review With Meta-Synthesis. JMIR Mental Health 2024;11:e49577 View
  10. Rogan J, Firth J, Bucci S. Healthcare Professionals' Views on the Use of Passive Sensing and Machine Learning Approaches in Secondary Mental Healthcare: A Qualitative Study. Health Expectations 2024;27(6) View
  11. Griffiths J, Saunders K, Foye U, Greenburgh A, Regan C, Cooper R, Powell R, Thomas E, Brennan G, Rojas-García A, Lloyd-Evans B, Johnson S, Simpson A. The use and impact of surveillance-based technology initiatives in inpatient and acute mental health settings: a systematic review. BMC Medicine 2024;22(1) View
  12. Yorke I, Boatman C, Roy Choudhury A, Oakley B, Conde P, Sankesara H, Ranjan Y, Rashid Z, Dineley J, Downs J, Chatham C, Cummins N, Folarin A, Loth E, Buitelaar J, Murphy D, Dobson R, Simonoff E. A dual in-person and remote assessment approach to developing digital endpoints relevant to autism and co-occurring conditions: protocol for a multi-site observational study (Preprint). JMIR Research Protocols 2025 View