Published on in Vol 9, No 4 (2022): Oct-Dec

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/40133, first published .
Health Tracking via Mobile Apps for Depression Self-management: Qualitative Content Analysis of User Reviews

Health Tracking via Mobile Apps for Depression Self-management: Qualitative Content Analysis of User Reviews

Health Tracking via Mobile Apps for Depression Self-management: Qualitative Content Analysis of User Reviews

Journals

  1. Polhemus A, Simblett S, Dawe Lane E, Elliott B, Jilka S, Negbenose E, Burke P, Weyer J, Novak J, Dockendorf M, Temesi G, Wykes T. Experiences of health tracking in mobile apps for multiple sclerosis: A qualitative content analysis of user reviews. Multiple Sclerosis and Related Disorders 2023;69:104435 View
  2. Ciolfi Felice M, Søndergaard M, Balaam M. Analyzing User Reviews of the First Digital Contraceptive: Mixed Methods Study. Journal of Medical Internet Research 2023;25:e47131 View
  3. Foley G, Ricciardelli R. Views on the Functionality and Use of the PeerConnect App Among Public Safety Personnel: Qualitative Analysis. JMIR Formative Research 2023;7:e46968 View
  4. Chan G, Nwagu C, Odenigbo I, Alslaity A, Orji R. The Shape of Mobile Health: A Systematic Review of Health Visualization on Mobile Devices. International Journal of Human–Computer Interaction 2024:1 View
  5. Faissner M, Kuhn E, Müller R, Laacke S. Detecting your depression with your smartphone? – An ethical analysis of epistemic injustice in passive self-tracking apps. Ethics and Information Technology 2024;26(2) View
  6. Guracho Y, Thomas S, Win K. Mobile mental health application use, and app feature preferences among individuals with mental disorders in Ethiopia: A cross-sectional survey. International Journal of Medical Informatics 2024;192:105628 View
  7. Tayon K, Carlisle A, Taylor B, Cornwell W, Shapiro B, Thomas R, Dineen E. App-Timizing Cardiac Rehabilitation: Enhancing Patient Engagement with Mobile Health Applications. Current Cardiovascular Risk Reports 2024 View
  8. Simblett S, Dawe-Lane E, Gilpin G, Morris D, White K, Erturk S, Devonshire J, Lees S, Zormpas S, Polhemus A, Temesi G, Cummins N, Hotopf M, Wykes T. Data Visualization Preferences in Remote Measurement Technology for Individuals Living With Depression, Epilepsy, and Multiple Sclerosis: Qualitative Study. Journal of Medical Internet Research 2024;26:e43954 View