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

Mobile Health in Psychiatry (473) Depression and Mood Disorders; Suicide Prevention (1498) Focus Groups and Qualitative Research for Human Factors Research (994) Wearable Devices and Sensors (976) Digital Biomarkers and Digital Phenotyping (222) mHealth for Wellness, Behavior Change and Prevention (3067) Mobile Health (mhealth) (3122) Web-based and Mobile Health Interventions (3582)

Published on in Vol 9, No 8 (2022): August

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/38934, first published .
Clinical Targets and Attitudes Toward Implementing Digital Health Tools for Remote Measurement in Treatment for Depression: Focus Groups With Patients and Clinicians

Clinical Targets and Attitudes Toward Implementing Digital Health Tools for Remote Measurement in Treatment for Depression: Focus Groups With Patients and Clinicians

Clinical Targets and Attitudes Toward Implementing Digital Health Tools for Remote Measurement in Treatment for Depression: Focus Groups With Patients and Clinicians

Authors of this article:

Valeria de Angel1, 2 Author Orcid Image ;   Serena Lewis1, 3 Author Orcid Image ;   Katie M White1 Author Orcid Image ;   Faith Matcham1, 4 Author Orcid Image ;   Matthew Hotopf1, 2 Author Orcid Image
Article Authors Cited by (8) Tweetations (15) Metrics

Journals

  1. White K, Dawe-Lane E, Siddi S, Lamers F, Simblett S, Riquelme Alacid G, Ivan A, Myin-Germeys I, Haro J, Oetzmann C, Popat P, Rintala A, Rubio-Abadal E, Wykes T, Henderson C, Hotopf M, Matcham F. Understanding the Subjective Experience of Long-term Remote Measurement Technology Use for Symptom Tracking in People With Depression: Multisite Longitudinal Qualitative Analysis. JMIR Human Factors 2023;10:e39479 View
  2. de Angel V, Adeleye F, Zhang Y, Cummins N, Munir S, Lewis S, Laporta Puyal E, Matcham F, Sun S, Folarin A, Ranjan Y, Conde P, Rashid Z, Dobson R, Hotopf M. The Feasibility of Implementing Remote Measurement Technologies in Psychological Treatment for Depression: Mixed Methods Study on Engagement. JMIR Mental Health 2023;10:e42866 View
  3. Potier R. Revue critique sur le potentiel du numérique dans la recherche en psychopathologie : un point de vue psychanalytique. L'Évolution Psychiatrique 2022;87(4):729 View
  4. Hamlin M, Holmén J, Wentz E, Aiff H, Ali L, Steingrimsson S. Patient Experience of Digitalized Follow-up of Antidepressant Treatment in Psychiatric Outpatient Care: Qualitative Analysis. JMIR Mental Health 2023;10:e48843 View
  5. Gu Y, Guan Y, Meng Z. Health Providers’ Perceptions and Experiences of Using mHealth for Chronic Noncommunicable Diseases: Qualitative Systematic Review and Meta-Synthesis. Journal of Medical Internet Research 2023;25:e45437 View
  6. Funnell E, Spadaro B, Martin-Key N, Benacek J, Bahn S. Perception of Apps for Mental Health Assessment With Recommendations for Future Design: United Kingdom Semistructured Interview Study. JMIR Formative Research 2024;8:e48881 View
  7. Adler D, Yang Y, Viranda T, Xu X, Mohr D, Van Meter A, Tartaglia J, Jacobson N, Wang F, Estrin D, Choudhury T. Beyond Detection: Towards Actionable Sensing Research in Clinical Mental Healthcare. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 2024;8(4):1 View
  8. Rogan J, Firth J, Bucci S. Healthcare Professionals' Views on the Use of Passive Sensing and Machine Learning Approaches in Secondary Mental Healthcare: A Qualitative Study. Health Expectations 2024;27(6) View