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

Reviews in Digital Mental Health (289) Telehealth and Telemonitoring (2088) Methods and New Tools in Mental Health Research (558) Digital Mental Health Interventions, e-Mental Health and Cyberpsychology (2111) Mobile Health in Psychiatry (527) Users' and Patients' Needs for Mental Health Services (502) Neurology and Neurosciences (286) User-Centered Design Case Studies (713) Innovations in Mental Health Systems (484) Visualization in eHealth (68) Digital Biomarkers and Digital Phenotyping (284) New Methods (1134)

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 (22) 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 2025;41(2):1154 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
  13. Ramesh S, Jull D, Fournier H, Rajabiyazdi F. Exploring Barriers to Patients’ Progression in the Cardiac Rehabilitation Journey From Health Care Providers’ Perspectives: Qualitative Study. Interactive Journal of Medical Research 2025;14:e66164 View
  14. Wang T, Codling D, Msosa Y, Broadbent M, Kornblum D, Polling C, Searle T, Delaney-Pope C, Arroyo B, MacLellan S, Keddie Z, Docherty M, Roberts A, Stewart R, McGuire P, Dobson R, Harland R. VIEWER: an extensible visual analytics framework for enhancing mental healthcare. Journal of the American Medical Informatics Association 2025 View
  15. Astill Wright L, Moore M, Reeves S, Vallejos E, Morriss R. Improving the Utility, Safety, and Ethical Use of a Passive Mood-Tracking App for People With Bipolar Disorder Using Coproduction: Qualitative Focus Group Study. JMIR Formative Research 2025;9:e65140 View
  16. Lu T, Lin Q, Yu B, Hu J. A systematic review of strategies in digital technologies for motivating adherence to chronic illness self-care. npj Health Systems 2025;2(1) View
  17. Lumsdon J, Wilson C, Alcock L, Becker C, Benvenuti F, Bonci T, van den Brande K, Brittain G, Brown P, Buckley E, Caruso M, Caulfield B, Cereatti A, Delgado-Ortiz L, Del Din S, Evers J, Garcia-Aymerich J, Gaßner H, Gur Arieh T, Hansen C, Hausdorff J, Hiden H, Hume E, Kirk C, Maetzler W, Megaritis D, Rochester L, Scott K, Sharrack B, Sutton N, Vereijken B, Vogiatzis I, Yarnall A, Keogh A, Cantu A. Cocreating the Visualization of Digital Mobility Outcomes: Delphi-Type Process With Patients. JMIR Formative Research 2025;9:e68782 View
  18. Ball M, Fishbein N, Ramlal N, Hu N, Maimone J, Bear A, Kleiman E, Stein M, Nock M, Bentley K. Engagement in Ecological Momentary Assessment of Suicidal Thoughts and Behaviors: A Mixed Methods Study. Behavior Therapy 2025;56(6):1143 View
  19. Wu R, Zhang H, Liang J, Shafiabady N, Lu H, Gide E, Dasanayake D, Jha M, Duan S, Johannssen A. Bubble-Wall Plot as a Dynamic Analytical Processing Visualization Tool for Developing Visual Warning Systems: a Case Study. PLOS One 2025;20(7):e0321077 View
  20. Schulte-Strathaus J, Ikegwuonu T, Schick A, Wolters M, de Thurah L, Hajdúk M, Kurilla A, Myin-Germeys I, Kiekens G, Weermeijer J, Beames J, Uyttebroek L, Bonnier R, Nagyova I, Breznoščáková D, Dančík D, Sotomayor Enriquez K, Barne I, Gugel J, Reininghaus U, Wensing M, Ullrich C. Visualisation of Experience Sampling Method Data in Mental Health: A Qualitative Study of the Physicians’ Perspective in Germany (Preprint). Journal of Medical Internet Research 2025 View
  21. Parkington K, Aguilar R, Lee G, Rueda A, Adamsahib F, Al-Hassan M, Famuditimi S, Menzies P, Lin Q, Lou W, Krishnan S, Bhat V, Varrasi S. Digital health monitoring for adults with treatment-resistant depression: Observational feasibility study protocol. PLOS One 2025;20(10):e0333484 View

Books/Policy Documents

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