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

RCTs - Protocols/Proposals (funded, already peer-reviewed, eHealth) (407) Digital Mental Health Interventions, e-Mental Health and Cyberpsychology (2223) Behavior Change (894) Formative Evaluation of Digital Health Interventions (3380) Anxiety and Stress Disorders (1362) Mobile Health in Psychiatry (549) mHealth for Symptom and Disease Monitoring, Chronic Disease Management (1788) Cognitive and Neurorehabilitation (375) Ecological Momentary Assessment (EMA) (428)

Published on in Vol 13 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/42547, first published .
Optimizing Outcomes in Psychotherapy for Anxiety Disorders Using Smartphone-Based and Passive Sensing Features: Protocol for a Randomized Controlled Trial

Optimizing Outcomes in Psychotherapy for Anxiety Disorders Using Smartphone-Based and Passive Sensing Features: Protocol for a Randomized Controlled Trial

Optimizing Outcomes in Psychotherapy for Anxiety Disorders Using Smartphone-Based and Passive Sensing Features: Protocol for a Randomized Controlled Trial

Authors of this article:

Miriam Müller-Bardorff1 Author Orcid Image ;   Ava Schulz1 Author Orcid Image ;   Christina Paersch1 Author Orcid Image ;   Dominique Recher1 Author Orcid Image ;   Barbara Schlup2 Author Orcid Image ;   Erich Seifritz2 Author Orcid Image ;   Iris Tatjana Kolassa3 Author Orcid Image ;   Tobias Kowatsch4, 5, 6 Author Orcid Image ;   Aaron Fisher7 Author Orcid Image ;   Isaac Galatzer-Levy8 Author Orcid Image ;   Birgit Kleim1 Author Orcid Image
Article Authors Cited by (3) Tweetations (2) Metrics

Journals

  1. Rocchi G, Vocaj E, Moawad S, Antonucci A, Grigioni C, Giuffrida V, Bordini J. Optimizing personalized psychological well-being interventions through digital phenotyping: results from a randomized non-clinical trial. Frontiers in Psychology 2025;15 View
  2. Hammelrath L, Brose A, Heinrich M, Zagorscak P, Burchert S, Langhammer T, Knaevelsrud C. PREACT-digital: study protocol for a longitudinal, observational multicentre study on digital phenotypes of non-response to cognitive behavioural therapy for internalising disorders. BMJ Open 2025;15(7):e102392 View
  3. Liu J, Wang J, Wu Z, Adam Assim M. Artificial Intelligence for Predicting Treatment Response in Patients with Anxiety Disorders After Cognitive Behavioral Therapy: A Systematic Review and Meta-Analysis (Preprint). Journal of Medical Internet Research 2025 View