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

Formative Evaluation of Digital Health Interventions (1387) Quality Evaluation and Descriptive Analysis/Reviews of Multiple Existing Mobile Apps (326) Depression and Mood Disorders; Suicide Prevention (997) Special Issue 2019: Computing and Mental Health (Guest Editors: Torous, Calvo, Wadley, Wolters) (14)

Published on in Vol 4 , No 11 (2020) :November

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/14988, first published .
Evaluation of Treatment Descriptions and Alignment With Clinical Guidance of Apps for Depression on App Stores: Systematic Search and Content Analysis

Evaluation of Treatment Descriptions and Alignment With Clinical Guidance of Apps for Depression on App Stores: Systematic Search and Content Analysis

Evaluation of Treatment Descriptions and Alignment With Clinical Guidance of Apps for Depression on App Stores: Systematic Search and Content Analysis

Authors of this article:

Dionne Bowie-DaBreo 1, 2 Author Orcid Image ;   Sandra I Sünram-Lea 2 Author Orcid Image ;   Corina Sas 3 Author Orcid Image ;   Heather Iles-Smith 4, 5 Author Orcid Image
Article Authors Cited by (2) Tweetations (2) Metrics

Journals

  1. Alfaras M, Primett W, Umair M, Windlin C, Karpashevich P, Chalabianloo N, Bowie D, Sas C, Sanches P, Höök K, Ersoy C, Gamboa H. Biosensing and Actuation—Platforms Coupling Body Input-Output Modalities for Affective Technologies. Sensors 2020;20(21):5968 View
  2. Chen X, Pan Z. A Convenient and Low-Cost Model of Depression Screening and Early Warning Based on Voice Data Using for Public Mental Health. International Journal of Environmental Research and Public Health 2021;18(12):6441 View