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

Special Issue on Computing and Mental Health (2018) (33) Mobile Health (mhealth) (2939) mHealth for Wellness, Behavior Change and Prevention (2871) Depression and Mood Disorders; Suicide Prevention (1363) Wearable Devices and Sensors (888)

Published on in Vol 20, No 7 (2018): July

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/10139, first published .
Exploring User Needs for a Mobile Behavioral-Sensing Technology for Depression Management: Qualitative Study

Exploring User Needs for a Mobile Behavioral-Sensing Technology for Depression Management: Qualitative Study

Exploring User Needs for a Mobile Behavioral-Sensing Technology for Depression Management: Qualitative Study

Authors of this article:

Jingbo Meng1 Author Orcid Image ;   Syed Ali Hussain1 Author Orcid Image ;   David C Mohr2 Author Orcid Image ;   Mary Czerwinski3 Author Orcid Image ;   Mi Zhang4 Author Orcid Image
Article Authors Cited by (14) Tweetations (18) Metrics

Journals

  1. Tobore I, Li J, Yuhang L, Al-Handarish Y, Kandwal A, Nie Z, Wang L. Deep Learning Intervention for Health Care Challenges: Some Biomedical Domain Considerations. JMIR mHealth and uHealth 2019;7(8):e11966 View
  2. Ng A, Kornfield R, Schueller S, Zalta A, Brennan M, Reddy M. Provider Perspectives on Integrating Sensor-Captured Patient-Generated Data in Mental Health Care. Proceedings of the ACM on Human-Computer Interaction 2019;3(CSCW):1 View
  3. Patoz M, Hidalgo-Mazzei D, Blanc O, Verdolini N, Pacchiarotti I, Murru A, Zukerwar L, Vieta E, Llorca P, Samalin L. Patient and physician perspectives of a smartphone application for depression: a qualitative study. BMC Psychiatry 2021;21(1) View
  4. Borghouts J, Eikey E, Mark G, De Leon C, Schueller S, Schneider M, Stadnick N, Zheng K, Mukamel D, Sorkin D. Understanding Mental Health App Use Among Community College Students: Web-Based Survey Study. Journal of Medical Internet Research 2021;23(9):e27745 View
  5. Kruzan K, Reddy M, Washburn J, Mohr D. Developing a Mobile App for Young Adults with Nonsuicidal Self-Injury: A Prototype Feedback Study. International Journal of Environmental Research and Public Health 2022;19(23):16163 View
  6. Wang Z, Xiong H, Zhang J, Yang S, Boukhechba M, Zhang D, Barnes L, Dou D. From Personalized Medicine to Population Health: A Survey of mHealth Sensing Techniques. IEEE Internet of Things Journal 2022;9(17):15413 View
  7. Liu X, Guo Y, Xu Y. Risk factors and digital interventions for anxiety disorders in college students: Stakeholder perspectives. World Journal of Clinical Cases 2023;11(7):1442 View
  8. Kabir K, Wiese J. A Meta-Synthesis of the Barriers and Facilitators for Personal Informatics Systems. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 2023;7(3):1 View
  9. Oewel B, Azizan N, Arean P, Agapie E. Technology's Role in Fostering Therapist-Client Collaboration and Engagement with Goals. Proceedings of the ACM on Human-Computer Interaction 2024;8(CSCW2):1 View

Books/Policy Documents

  1. Martinez-Martin N. Ethical Dimensions of Commercial and DIY Neurotechnologies. View