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

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 (Preprint). JMIR Mental Health 2021 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