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

Formative Evaluation of Digital Health Interventions (3179) Electronic/Mobile Data Capture, Internet-based Survey & Research Methodology (992) Depression and Mood Disorders; Suicide Prevention (1668) mHealth for Symptom and Disease Monitoring, Chronic Disease Management (1718) Web-based and Mobile Health Interventions (3986) Patient-Reported Outcome Measures (PROMs) (364)

Published on in Vol 8 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/52809, first published .
A Closed-Loop Digital Health Tool to Improve Depression Care in Multiple Sclerosis: Iterative Design and Cross-Sectional Pilot Randomized Controlled Trial and its Impact on Depression Care

A Closed-Loop Digital Health Tool to Improve Depression Care in Multiple Sclerosis: Iterative Design and Cross-Sectional Pilot Randomized Controlled Trial and its Impact on Depression Care

A Closed-Loop Digital Health Tool to Improve Depression Care in Multiple Sclerosis: Iterative Design and Cross-Sectional Pilot Randomized Controlled Trial and its Impact on Depression Care

Authors of this article:

Kyra Henderson1 Author Orcid Image ;   Jennifer Reihm1 Author Orcid Image ;   Kanishka Koshal1 Author Orcid Image ;   Jaeleene Wijangco1 Author Orcid Image ;   Narender Sara1 Author Orcid Image ;   Nicolette Miller1 Author Orcid Image ;   Marianne Doyle1 Author Orcid Image ;   Alicia Mallory1 Author Orcid Image ;   Judith Sheridan1 Author Orcid Image ;   Chu-Yueh Guo1 Author Orcid Image ;   Lauren Oommen1 Author Orcid Image ;   Katherine P Rankin1 Author Orcid Image ;   Stephan Sanders1 Author Orcid Image ;   Anthony Feinstein2 Author Orcid Image ;   Christina Mangurian3 Author Orcid Image ;   Riley Bove1 Author Orcid Image
Article Authors Cited by (3) Tweetations (3) Metrics

Journals

  1. Wang P, Liu H, Shi Y, Liu A, Zhu Q, Albu I, Pacholec M, Cheng L, Sun X, Chi X. Harnessing Small‐Data Machine Learning for Transformative Mental Health Forecasting: Towards Precision Psychiatry With Personalised Digital Phenotyping. Med Research 2025;1(2):226 View
  2. Jung H, Park J, Holoubek T, Kim W, Park J. Socially Assistive Robots in Mental Healthcare: Principles and Conceptual Framework for User-Centered Design. International Journal of Social Robotics 2025 View
  3. Schlicher M, Li Y, Murthy S, Sun Q, Schuller B. Emotionally adaptive support: a narrative review of affective computing for mental health. Frontiers in Digital Health 2025;7 View