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

Usability of Apps and User Perceptions of mHealth (993) Participatory Medicine & E-Patients (787) Focus Groups and Qualitative Research for Human Factors Research (880) mHealth for Symptom and Disease Monitoring, Chronic Disease Management (1428)

Published on in Vol 8, No 6 (2020): June

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/15086, first published .
Patients’ Measurement Priorities for Remote Measurement Technologies to Aid Chronic Health Conditions: Qualitative Analysis

Patients’ Measurement Priorities for Remote Measurement Technologies to Aid Chronic Health Conditions: Qualitative Analysis

Patients’ Measurement Priorities for Remote Measurement Technologies to Aid Chronic Health Conditions: Qualitative Analysis

Authors of this article:

Sara Simblett1 Author Orcid Image ;   Faith Matcham1 Author Orcid Image ;   Hannah Curtis1 Author Orcid Image ;   Ben Greer1 Author Orcid Image ;   Ashley Polhemus2 Author Orcid Image ;   Jan Novák2 Author Orcid Image ;   Jose Ferrao2 Author Orcid Image ;   Peter Gamble2 Author Orcid Image ;   Matthew Hotopf1 Author Orcid Image ;   Vaibhav Narayan3 Author Orcid Image ;   Til Wykes1 Author Orcid Image ;   Remote Assessment Of Disease And Relapse – Central Nervous System (RADAR-CNS) Consortium4
Article Authors Cited by (9) Tweetations (3) Metrics

Journals

  1. De Angelis M, Lavorgna L, Carotenuto A, Petruzzo M, Lanzillo R, Brescia Morra V, Moccia M. Digital Technology in Clinical Trials for Multiple Sclerosis: Systematic Review. Journal of Clinical Medicine 2021;10(11):2328 View
  2. 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
  3. Sivathamboo S, Nhu D, Piccenna L, Yang A, Antonic-Baker A, Vishwanath S, Todaro M, Yap L, Kuhlmann L, Cheng W, O'Brien T, Lannin N, Kwan P. Preferences and User Experiences of Wearable Devices in Epilepsy. Neurology 2022;99(13) View
  4. de Angel V, Lewis S, White K, Matcham F, Hotopf M. Clinical Targets and Attitudes Toward Implementing Digital Health Tools for Remote Measurement in Treatment for Depression: Focus Groups With Patients and Clinicians. JMIR Mental Health 2022;9(8):e38934 View
  5. 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
  6. Jackson A, Sandhu R, Finlayson M. Perspectives on and use of assistive technology by persons with MS: a scoping review. Disability and Rehabilitation: Assistive Technology 2024:1 View
  7. Ferreira J, Peixoto R, Lopes L, Beniczky S, Ryvlin P, Conde C, Claro J. User involvement in the design and development of medical devices in epilepsy: A systematic review. Epilepsia Open 2024;9(6):2087 View
  8. Ibáñez D, Condominas E, Haro J, Vázquez I, RADAR-MDD-Spain , Bailón R, Garcia E, Kontaxis S, Peñarrubia-Maria M, Arranz B, Llaosa-Scholten R, Gardeñes L, Hotopf M, Matcham F, Lamers F, Penninx B, Annas P, Folarin A, Narayan V, Lima R, Siddi S. Pre- and post-COVID 19 outbreak relationship between physical activity and depressive symptoms in Spanish adults with major depressive disorder: a secondary analysis of the RADAR-MDD cohort study. Frontiers in Psychology 2024;15 View

Books/Policy Documents

  1. Venkatraghavan V, Voort S, Bos D, Smits M, Barkhof F, Niessen W, Klein S, Bron E. Machine Learning for Brain Disorders. View