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

Non-Randomized Studies (funded, eHealth) (125) Wearable Devices and Sensors (1133) Depression and Mood Disorders; Suicide Prevention (1689) mHealth for Data Collection and Research (1196) Methods and New Tools in Mental Health Research (558) Mobile Health (mhealth) (3463) mHealth for Wellness, Behavior Change and Prevention (3314) Transdiagnostic Mental Health Interventions (207)

Published on in Vol 11, No 8 (2022): August

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/39010, first published .
Passive Mobile Self-tracking of Mental Health by Veterans With Serious Mental Illness: Protocol for a User-Centered Design and Prospective Cohort Study

Passive Mobile Self-tracking of Mental Health by Veterans With Serious Mental Illness: Protocol for a User-Centered Design and Prospective Cohort Study

Passive Mobile Self-tracking of Mental Health by Veterans With Serious Mental Illness: Protocol for a User-Centered Design and Prospective Cohort Study

Authors of this article:

Alexander S Young1, 2 Author Orcid Image ;   Abigail Choi1 Author Orcid Image ;   Shay Cannedy2 Author Orcid Image ;   Lauren Hoffmann2 Author Orcid Image ;   Lionel Levine3 Author Orcid Image ;   Li-Jung Liang4 Author Orcid Image ;   Melissa Medich2 Author Orcid Image ;   Rebecca Oberman5 Author Orcid Image ;   Tanya T Olmos-Ochoa5 Author Orcid Image
Article Authors Cited by (9) Tweetations (6) Metrics

Journals

  1. Medich M, Cannedy S, Hoffmann L, Chinchilla M, Pila J, Chassman S, Calderon R, Young A. Clinician and Patient Perspectives on the Use of Passive Mobile Monitoring and Self-Tracking for Patients With Serious Mental Illness: User-Centered Approach. JMIR Human Factors 2023;10:e46909 View
  2. Sun Y, Kargarandehkordi A, Slade C, Jaiswal A, Busch G, Guerrero A, Phillips K, Washington P. Personalized Deep Learning for Substance Use in Hawaii: Protocol for a Passive Sensing and Ecological Momentary Assessment Study. JMIR Research Protocols 2024;13:e46493 View
  3. Faissner M, Kuhn E, Müller R, Laacke S. Detecting your depression with your smartphone? – An ethical analysis of epistemic injustice in passive self-tracking apps. Ethics and Information Technology 2024;26(2) View
  4. Zhang X, Sun S, Jiangenuer L, Zhao P, Lei H, Xu Z, Wang Z. Effect of mobile health (mHealth) on improving anxiety, depression and quality of life in cancer patients: A systematic review and meta -analysis. Journal of Affective Disorders 2025 View

Books/Policy Documents

  1. Tunis R. Information for a Better World: Normality, Virtuality, Physicality, Inclusivity. View
  2. Asadi A, Prabhakar A. Proceedings of the Future Technologies Conference (FTC) 2024, Volume 3. View

Conference Proceedings

  1. Teng S, D'Alfonso S, Kostakos V. Proceedings of the CHI Conference on Human Factors in Computing Systems. A Tool for Capturing Smartphone Screen Text View
  2. Mondéjar A, Silva-Calpa G, Raposo A, Mograbi D. 2024 IEEE 12th International Conference on Serious Games and Applications for Health (SeGAH). Redesign of an m-Health Application for Individuals with Bipolar Disorder: A Strategy for User Adherence and Effective Data Collection View
  3. Gomes Raulino N, de Castro Andrade R, de Sousa Santos I. Proceedings of the XXIII Brazilian Symposium on Human Factors in Computing Systems. Integration of User-Centered Design in the Development of Big Data and Machine Learning-Based Applications View