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

Telehealth and Telemonitoring (1710) mHealth for Symptom and Disease Monitoring, Chronic Disease Management (1423)

Published on in Vol 22, No 7 (2020): July

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/17414, first published .
Health Care Professionals’ Views on Using Remote Measurement Technology in Managing Central Nervous System Disorders: Qualitative Interview Study

Health Care Professionals’ Views on Using Remote Measurement Technology in Managing Central Nervous System Disorders: Qualitative Interview Study

Health Care Professionals’ Views on Using Remote Measurement Technology in Managing Central Nervous System Disorders: Qualitative Interview Study

Authors of this article:

Jacob A Andrews1, 2 Author Orcid Image ;   Michael P Craven2, 3 Author Orcid Image ;   Jennifer Jamnadas-Khoda2 Author Orcid Image ;   Alexandra R Lang2, 4 Author Orcid Image ;   Richard Morriss1, 2, 5 Author Orcid Image ;   Chris Hollis1, 2, 5 Author Orcid Image ;   The RADAR-CNS Consortium6
Article Authors Cited by (15) Tweetations (16) Metrics

Journals

  1. Craven M, Andrews J, Lang A, Simblett S, Bruce S, Thorpe S, Wykes T, Morriss R, Hollis C. Informing the Development of a Digital Health Platform Through Universal Points of Care: Qualitative Survey Study. JMIR Formative Research 2020;4(11):e22756 View
  2. Kooij L, Peters G, Doggen C, van Harten W. Remote continuous monitoring with wireless wearable sensors in clinical practice, nurses perspectives on factors affecting implementation: a qualitative study. BMC Nursing 2022;21(1) View
  3. Polhemus A, Novak J, Majid S, Simblett S, Morris D, Bruce S, Burke P, Dockendorf M, Temesi G, Wykes T. Data Visualization for Chronic Neurological and Mental Health Condition Self-management: Systematic Review of User Perspectives. JMIR Mental Health 2022;9(4):e25249 View
  4. Andrews J, Craven M, Lang A, Guo B, Morriss R, Hollis C. The impact of data from remote measurement technology on the clinical practice of healthcare professionals in depression, epilepsy and multiple sclerosis: survey. BMC Medical Informatics and Decision Making 2021;21(1) View
  5. Roth E, Minden S, Maloni H, Miles Z, Wallin M. A Qualitative, Multiperspective Inquiry of Multiple Sclerosis Telemedicine in the United States. International Journal of MS Care 2022;24(6):275 View
  6. White K, Dawe-Lane E, Siddi S, Lamers F, Simblett S, Riquelme Alacid G, Ivan A, Myin-Germeys I, Haro J, Oetzmann C, Popat P, Rintala A, Rubio-Abadal E, Wykes T, Henderson C, Hotopf M, Matcham F. Understanding the Subjective Experience of Long-term Remote Measurement Technology Use for Symptom Tracking in People With Depression: Multisite Longitudinal Qualitative Analysis. JMIR Human Factors 2023;10:e39479 View
  7. Han J, Zhang Z, Mascolo C, Andre E, Tao J, Zhao Z, Schuller B. Deep Learning for Mobile Mental Health: Challenges and recent advances. IEEE Signal Processing Magazine 2021;38(6):96 View
  8. Andrews J, Craven M, Lang A, Guo B, Morriss R, Hollis C. Making remote measurement technology work in multiple sclerosis, epilepsy and depression: survey of healthcare professionals. BMC Medical Informatics and Decision Making 2022;22(1) View
  9. Torres-Castaño A, Abt-Sacks A, Toledo-Chávarri A, Suarez-Herrera J, Delgado-Rodríguez J, León-Salas B, González-Hernández Y, Carmona-Rodríguez M, Serrano-Aguilar P. Ethical, Legal, Organisational and Social Issues of Teleneurology: A Scoping Review. International Journal of Environmental Research and Public Health 2023;20(4):3694 View
  10. Andrews J, Craven M, Guo B, Weyer J, Lees S, Zormpas S, Thorpe S, Devonshire J, San Antonio-Arce V, Whitehouse W, Julie J, Malins S, Hammers A, Reif A, Ruhe H, Durbano F, Barlati S, Sen A, Frederiksen J, Martinelli A, Callen A, Torras-Borrell J, Berrocal-Izquierdo N, Zabalza A, Morriss R, Hollis C. Clinical Perspectives on Using Remote Measurement Technology in Assessing Epilepsy, Multiple Sclerosis, and Depression: Delphi Study. JMIR Neurotechnology 2023;2:e41439 View
  11. Denyer H, Deng Q, Adanijo A, Asherson P, Bilbow A, Folarin A, Groom M, Hollis C, Wykes T, Dobson R, Kuntsi J, Simblett S. Barriers to and Facilitators of Using Remote Measurement Technology in the Long-Term Monitoring of Individuals With ADHD: Interview Study. JMIR Formative Research 2023;7:e44126 View
  12. Gu Y, Guan Y, Meng Z. Health Providers’ Perceptions and Experiences of Using mHealth for Chronic Noncommunicable Diseases: Qualitative Systematic Review and Meta-Synthesis. Journal of Medical Internet Research 2023;25:e45437 View
  13. Alsulami S, Konstantinidis S, Wharrad H. Use of wearables among Multiple Sclerosis patients and healthcare Professionals: A scoping review. International Journal of Medical Informatics 2024;184:105376 View
  14. Dicianno B, Salh A, Morris L, Xiang Y, Ding D. Rehabilitation clinicians’ use of mainstream wireless technologies in practice: a scoping review. Disability and Rehabilitation: Assistive Technology 2024;19(8):2742 View
  15. Bolton K, Mendez-Villalon A, Nanji H, Jia R, Ayling K, Figueredo G, Vedhara K. Monitoring university student response to social distancing policy during the SARS-CoV-2 pandemic using Bluetooth: the RADAR study. Mathematics in Medical and Life Sciences 2024;1(1) View