Accessibility settings

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

User Needs and Competencies (582) Mobile Health (mhealth) (5164) Participatory Medicine & E-Patients (986) Users' and Patients' Needs for Mental Health Services (685) Patient Reported Measures and Outcomes in Participatory Medicine (64)

Published on in Vol 10 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/46909, first published .
Tablet displaying a sleep tracking graph with weekly data and coffee cup

Clinician and Patient Perspectives on the Use of Passive Mobile Monitoring and Self-Tracking for Patients With Serious Mental Illness: User-Centered Approach

Clinician and Patient Perspectives on the Use of Passive Mobile Monitoring and Self-Tracking for Patients With Serious Mental Illness: User-Centered Approach

Authors of this article:

Melissa Medich1, 2 Author Orcid Image ;   Shay L Cannedy1 Author Orcid Image ;   Lauren C Hoffmann3 Author Orcid Image ;   Melissa Y Chinchilla3 Author Orcid Image ;   Jose M Pila3 Author Orcid Image ;   Stephanie A Chassman3 Author Orcid Image ;   Ronald A Calderon3 Author Orcid Image ;   Alexander S Young3, 4 Author Orcid Image
Article Authors Cited by (12) Tweetations (4) Metrics

Journals

  1. Bastardo R, Pavão J, Rocha N. Methodological Quality of User-Centered Usability Evaluation of Digital Applications to Promote Citizens’ Engagement and Participation in Public Governance: A Systematic Literature Review. Digital 2024;4(3):740 View
  2. Shahil-Feroz A, Riaz A, Yasmin H, Saleem S, Bhutta Z, Seto E. Perceived barriers and facilitators of implementing a sustained smartphone-based telemonitoring program for pregnant women at high-risk for pre-eclampsia in the public and private sectors in Pakistan. DIGITAL HEALTH 2024;10 View
  3. de Thurah L, Kiekens G, Weermeijer J, Uyttebroek L, Wampers M, Bonnier R, Myin-Germeys I. Understanding Appropriation of Digital Self-Monitoring Tools in Mental Health Care: Qualitative Analysis. JMIR Human Factors 2025;12:e60096 View
  4. Tuncer G, Çetinkaya Duman Z. The Exploration of Psychiatric Nurses' Perspectives on the Applications of Artificial Intelligence in Supporting Care: ‘Patients Prefer Seeing a Human Over AI’. Journal of Psychiatric and Mental Health Nursing 2025;32(5):1053 View
  5. Lu M, Dong J, Chen Y, Feng Y, Huang H, Zhang S, Zhou Y. The Existential Dilemma of Older Adults With Severe Mental Disorders in Rural Areas: A Scoping Review. International Journal of Mental Health Nursing 2025;34(6) View
  6. Neto D, Sebastião R, Baptista T, Petkari E. Frameworks for Developing Digital Mental Health Interventions. European Psychologist 2026;31(3):189 View
  7. Machleid F, Schönewald A, Quinlivan E, Kokwaro L, Schröder-Frekes L, Muffel T, Wiegmann C, Kaminski J. Highly adaptable smartphone-based monitoring for patients with severe mental illness: Feasibility and usability study. DIGITAL HEALTH 2025;11 View
  8. Rickard N, Kurt P, Meade T. Navigating the Digital Landscape for Potential Use of Mental Health Apps in Clinical Practice: Scoping Review. JMIR Mental Health 2026;13:e75640 View
  9. Blonigen D, Macia K, Raikov I, Yoon J, Weber J. Risk for Acute Care Utilization in Housing-Insecure Adults. Medical Care 2026;64(4):207 View
  10. Freitas A, Chavez J, Chinchilla M, Calderon R, Chassman S, Hoffmann L, Young A. Assessing the Use of Wearable Mobile-Monitoring Devices Among Individuals With Serious Mental Illness: Qualitative Acceptability and Feasibility Study. Journal of Medical Internet Research 2026;28:e85087 View
  11. Marie S. Examining the state of telehealth for mental health and substance use care after the coronavirus disease 2019 pandemic: An integrative review. Journal of International Medical Research 2026;54(7) View

Books/Policy Documents

  1. Luxton D, Armstrong C, June J, Bickmore T, Sano A. Artificial Intelligence in Behavioral and Mental Health Care. View