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

Mobile Health in Psychiatry (438) Human Factors and Usability Case Studies (809) Usability Evaluation Case Studies (196) User-centred Design Case Studies (602) Design and Formative Evaluation of Mobile Apps (706) mHealth for Symptom and Disease Monitoring, Chronic Disease Management (1428) Homelessness (31) Transdiagnostic Mental Health Interventions (164)

Published on in Vol 6, No 3 (2019): March

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/12378, first published .
Cocreative Development of the QoL-ME: A Visual and Personalized Quality of Life Assessment App for People With Severe Mental Health Problems

Cocreative Development of the QoL-ME: A Visual and Personalized Quality of Life Assessment App for People With Severe Mental Health Problems

Cocreative Development of the QoL-ME: A Visual and Personalized Quality of Life Assessment App for People With Severe Mental Health Problems

Authors of this article:

David C Buitenweg1, 2 Author Orcid Image ;   Ilja L Bongers1, 2 Author Orcid Image ;   Dike van de Mheen1, 3 Author Orcid Image ;   Hans A M van Oers1, 4 Author Orcid Image ;   Chijs van Nieuwenhuizen1, 2 Author Orcid Image
Article Authors Cited by (12) Tweetations (3) Metrics

Journals

  1. Buitenweg D, van de Mheen D, Grund J, van Oers H, van Nieuwenhuizen C. Visual and Personalized Quality of Life Assessment App for People With Severe Mental Health Problems: Qualitative Evaluation. JMIR Mental Health 2020;7(12):e19593 View
  2. Rotondi A, Grady J, Hanusa B, Haas G, Spring M, Abebe K, Luther J, Gurklis J. Key Variables for Effective eHealth Designs for Individuals With and Without Mental Health Disorders: 2^12-4 Fractional Factorial Experiment. Journal of Medical Internet Research 2021;23(3):e23137 View
  3. Rodger S, Scott E, Nolan A, Wright A, Reid J. Effect of Age, Breed, and Sex on the Health-Related Quality of Life of Owner Assessed Healthy Dogs. Frontiers in Veterinary Science 2021;8 View
  4. Zidaru T, Morrow E, Stockley R. Ensuring patient and public involvement in the transition to AI‐assisted mental health care: A systematic scoping review and agenda for design justice. Health Expectations 2021;24(4):1072 View
  5. 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
  6. Ramos G, Ponting C, Labao J, Sobowale K. Considerations of diversity, equity, and inclusion in mental health apps: A scoping review of evaluation frameworks. Behaviour Research and Therapy 2021;147:103990 View
  7. Buitenweg D, van de Mheen D, van Oers H, van Nieuwenhuizen C. Psychometric Properties of the QoL-ME: A Visual and Personalized Quality of Life Assessment App for People With Severe Mental Health Problems. Frontiers in Psychiatry 2022;12 View
  8. Polhemus A, Novak J, Majid S, Simblett S, Morris D, Bruce S, Burke P, Dockendorf M, Temesi G, Wykes T. Data Visualization for Chronic Neurological and Mental Health Condition Self-management: Systematic Review of User Perspectives. JMIR Mental Health 2022;9(4):e25249 View
  9. Vial S, Boudhraâ S, Dumont M. Human-Centered Design Approaches in Digital Mental Health Interventions: Exploratory Mapping Review. JMIR Mental Health 2022;9(6):e35591 View

Books/Policy Documents

  1. Ebben M, Murphy J. Privacy Concerns Surrounding Personal Information Sharing on Health and Fitness Mobile Apps. View
  2. Ebben M, Murphy J. Research Anthology on Privatizing and Securing Data. View
  3. Goularte J, Rosa A. Digital Mental Health. View