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

Ashley Polhemus   1, 2 , MSE ;   Jan Novak   3 , MS ;   Shazmin Majid   3, 4 , MS ;   Sara Simblett   5 , PhD ;   Daniel Morris   5 , BSc ;   Stuart Bruce   6 , BSc ;   Patrick Burke   6 , BA, BSc ;   Marissa F Dockendorf   7 , PhD ;   Gergely Temesi   8 , PhD ;   Til Wykes   5, 9 , PhD

1 Merck Research Labs, Information Technology, Merck, Sharpe, & Dohme, Zurich, Switzerland

2 Epidemiology, Biostatistics and Prevention Institute, University of Zürich, Zürich, Switzerland

3 Merck Research Labs, Information Technology, Merck, Sharpe, & Dohme, Prague, Czech Republic

4 School of Computer Science, University of Nottingham, Nottingham, United Kingdom

5 Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom

6 RADAR-CNS Patient Advisory Board, London, United Kingdom

7 Global Digital Analytics and Technologies, Merck, Sharpe, & Dohme, Kenilworth, NJ, United States

8 Merck Research Labs, Information Technology, Merck, Sharpe, & Dohme, Vienna, Austria

9 National Institute for Health Research, Maudsley Biomedical Research Centre, South London and Maudsley National Health Services Foundation Trust, London, United Kingdom

Corresponding Author:

  • Ashley Polhemus, MSE
  • Merck Research Labs, Information Technology
  • Merck, Sharpe, & Dohme
  • The Circle 66
  • Zurich, 8058
  • Switzerland
  • Phone: 41 764922388
  • Email: ashley.polhemus@uzh.ch