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

Reviews in Digital Mental Health (243) Telehealth and Telemonitoring (1671) Methods and New Tools in Mental Health Research (454) Digital Mental Health Interventions, e-Mental Health and Cyberpsychology (1514) Mobile Health in Psychiatry (426) Users' and Patients' Needs for Mental Health Services (403) Neurology and Neurosciences (185) User-centred Design Case Studies (596) Innovations in Mental Health Systems (390) Visualization in eHealth (58) Digital Biomarkers and Digital Phenotyping (191) New Methods (944)

Published on in Vol 9, No 4 (2022): April

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/25249, first published .
Data Visualization for Chronic Neurological and Mental Health Condition Self-management: Systematic Review of User Perspectives

Data Visualization for Chronic Neurological and Mental Health Condition Self-management: Systematic Review of User Perspectives

Data Visualization for Chronic Neurological and Mental Health Condition Self-management: Systematic Review of User Perspectives

Authors of this article:

Ashley Polhemus1, 2 Author Orcid Image ;   Jan Novak3 Author Orcid Image ;   Shazmin Majid3, 4 Author Orcid Image ;   Sara Simblett5 Author Orcid Image ;   Daniel Morris5 Author Orcid Image ;   Stuart Bruce6 Author Orcid Image ;   Patrick Burke6 Author Orcid Image ;   Marissa F Dockendorf7 Author Orcid Image ;   Gergely Temesi8 Author Orcid Image ;   Til Wykes5, 9 Author Orcid Image
Article Authors Cited by (13) Tweetations (18) Metrics

Journals

  1. Oetzmann C, White K, Ivan A, Julie J, Leightley D, Lavelle G, Lamers F, Siddi S, Annas P, Garcia S, Haro J, Mohr D, Penninx B, Simblett S, Wykes T, Narayan V, Hotopf M, Matcham F. Lessons learned from recruiting into a longitudinal remote measurement study in major depressive disorder. npj Digital Medicine 2022;5(1) View
  2. 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
  3. Majid S, Reeves S, Figueredo G, Brown S, Lang A, Moore M, Morriss R. The Extent of User Involvement in the Design of Self-tracking Technology for Bipolar Disorder: Literature Review. JMIR Mental Health 2021;8(12):e27991 View
  4. Polhemus A, Simblett S, Dawe-Lane E, Gilpin G, Elliott B, Jilka S, Novak J, Nica R, Temesi G, Wykes T. Health Tracking via Mobile Apps for Depression Self-management: Qualitative Content Analysis of User Reviews. JMIR Human Factors 2022;9(4):e40133 View
  5. Polhemus A, Sieber C, Haag C, Sylvester R, Kool J, Gonzenbach R, von Wyl V, Li-Jessen N. Non-equivalent, but still valid: Establishing the construct validity of a consumer fitness tracker in persons with multiple sclerosis. PLOS Digital Health 2023;2(1):e0000171 View
  6. Hamlin M, Holmén J, Wentz E, Aiff H, Ali L, Steingrimsson S. Patient Experience of Digitalized Follow-up of Antidepressant Treatment in Psychiatric Outpatient Care: Qualitative Analysis. JMIR Mental Health 2023;10:e48843 View
  7. White K, Carr E, Leightley D, Matcham F, Conde P, Ranjan Y, Simblett S, Dawe-Lane E, Williams L, Henderson C, Hotopf M. Engagement With a Remote Symptom-Tracking Platform Among Participants With Major Depressive Disorder: Randomized Controlled Trial. JMIR mHealth and uHealth 2024;12:e44214 View
  8. Chang S, Gray L, Alon N, Torous J. Patient and Clinician Experiences with Sharing Data Visualizations Integrated into Mental Health Treatment. Social Sciences 2023;12(12):648 View
  9. 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
  10. Marquard J, Austin R, Rajamani S. Design of patient-facing immunization visualizations affects task performance: an experimental comparison of 4 electronic visualizations. Journal of the American Medical Informatics Association 2024;31(11):2429 View
  11. Burns J, Chen K, Flathers M, Currey D, Macrynikola N, Vaidyam A, Langholm C, Barnett I, Byun A, Lane E, Torous J. Transforming Digital Phenotyping Raw Data Into Actionable Biomarkers, Quality Metrics, and Data Visualizations Using Cortex Software Package: Tutorial. Journal of Medical Internet Research 2024;26:e58502 View
  12. 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

Books/Policy Documents

  1. Guardado S, Holappa T, Isomursu M. Digital Health and Wireless Solutions. View