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

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

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