Literature DB >> 34600398

The effect of depression and anxiety symptom severity on clinical outcomes and app use in digital mental health treatments: Meta-regression of three trials.

David C Mohr1, Mary J Kwasny2, Jonah Meyerhoff2, Andrea K Graham2, Emily G Lattie2.   

Abstract

A large number of trials have consistently shown that guided digital mental health treatments (DMHTs) are effective for depression and anxiety. As DMHTs are adopted by healthcare organizations, payers, and employers, they are often considered most appropriate for people with mild-to-moderate levels of symptom severity. Thus, the aim of this study was to examine the effects of symptom severity on depression and anxiety outcomes and app use across three trials of a guided DMHT, IntelliCare. Participants were categorized into mild, moderate, moderately severe, and severe symptom severity groups on depression and anxiety. All symptom severity groups showed significant reductions in depression and anxiety in a clear ordinal pattern, with the mild symptom severity group showing the smallest changes and the severe symptom group showing the largest improvements. Those with the lowest levels of educational attainment showed the largest symptom improvement. Baseline symptom severity was not significantly related to app use. App use was significantly related to depression and anxiety outcomes. These findings suggest that depression and anxiety symptom severity is not useful in determining who should be referred to a guided DMHT.
Copyright © 2021 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Anxiety; Depression; eHealth; mHealth

Mesh:

Year:  2021        PMID: 34600398      PMCID: PMC8671244          DOI: 10.1016/j.brat.2021.103972

Source DB:  PubMed          Journal:  Behav Res Ther        ISSN: 0005-7967


  34 in total

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Journal:  World Psychiatry       Date:  2019-10       Impact factor: 49.548

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Authors:  David C Mohr; Emily G Lattie; Kathryn Noth Tomasino; Mary J Kwasny; Susan M Kaiser; Elizabeth L Gray; Nameyeh Alam; Neil Jordan; Stephen M Schueller
Journal:  Behav Res Ther       Date:  2019-09-30

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Authors:  Thomas Haug; Tine Nordgreen; Lars-Göran Öst; Gerd Kvale; Tone Tangen; Gerhard Andersson; Per Carlbring; Einar R Heiervang; Odd E Havik
Journal:  Behav Res Ther       Date:  2015-06-09

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Journal:  NPJ Digit Med       Date:  2019-12-02

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Authors:  Jennifer Nicholas; Ashley A Knapp; Jessica L Vergara; Andrea K Graham; Elizabeth L Gray; Emily G Lattie; Mary J Kwasny; David C Mohr
Journal:  J Affect Disord       Date:  2020-11-13       Impact factor: 4.839

10.  Exploring the Relationship Between Usage and Outcomes of an Internet-Based Intervention for Individuals With Depressive Symptoms: Secondary Analysis of Data From a Randomized Controlled Trial.

Authors:  Angel Enrique; Jorge E Palacios; Holly Ryan; Derek Richards
Journal:  J Med Internet Res       Date:  2019-08-01       Impact factor: 5.428

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  2 in total

1.  Testing Behavioral Nudges and Prompts in Digital Courses for the Self-guided Treatment of Depression and Anxiety: Protocol for a 3-Arm Randomized Controlled Trial.

Authors:  Renante Rondina; Trevor van Mierlo; Rachel Fournier
Journal:  JMIR Res Protoc       Date:  2022-08-15

2.  Comparing Professional and Consumer Ratings of Mental Health Apps: Mixed Methods Study.

Authors:  Georgie Hudson; Esther Negbenose; Martha Neary; Sonja M Jansli; Stephen M Schueller; Til Wykes; Sagar Jilka
Journal:  JMIR Form Res       Date:  2022-09-23
  2 in total

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