Published on in Vol 6, No 4 (2019): Oct-Dec

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/13295, first published .
Identification of Factors That Motivate People With Multiple Sclerosis to Participate in Digital Data Collection in Research: Sequential Mixed Methods Study

Identification of Factors That Motivate People With Multiple Sclerosis to Participate in Digital Data Collection in Research: Sequential Mixed Methods Study

Identification of Factors That Motivate People With Multiple Sclerosis to Participate in Digital Data Collection in Research: Sequential Mixed Methods Study

Authors of this article:

Astrid Karnoe1, 2 Author Orcid Image ;   Lars Kayser1 Author Orcid Image ;   Lasse Skovgaard2 Author Orcid Image

Journals

  1. Jongen P, ter Veen G, Lemmens W, Donders R, van Noort E, Zeinstra E. The Interactive Web-Based Program MSmonitor for Self-Management and Multidisciplinary Care in Persons With Multiple Sclerosis: Quasi-Experimental Study of Short-Term Effects on Patient Empowerment. Journal of Medical Internet Research 2020;22(3):e14297 View
  2. Gromisch E, Turner A, Haselkorn J, Lo A, Agresta T. Mobile health (mHealth) usage, barriers, and technological considerations in persons with multiple sclerosis: a literature review. JAMIA Open 2021;4(3) View
  3. Smith S. Finding the voice of students engaging in online alternative provision via digital data collection methods. British Journal of Educational Technology 2021;52(2):899 View
  4. Feng G, Posa S, Sureshkumar A, Simpson S, Bruno T, Morrow S, Donkers S, Knox K, Feinstein A, Bayley M, Munce S, Simpson R. Experiences of people with multiple sclerosis and clinicians in using cognitive behavioural therapies for hidden symptoms: a systematic review and meta-aggregation. Journal of Neurology 2024;271(3):1084 View

Books/Policy Documents

  1. Carswell C, Rea P. Biomedical Visualisation. View