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      Effect of Engagement With Digital Interventions on Mental Health Outcomes: A Systematic Review and Meta-Analysis

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          Abstract

          Digital mental health interventions (DMHIs) present a promising way to address gaps in mental health service provision. However, the relationship between user engagement and outcomes in the context of these interventions has not been established. This study addressed the current state of evidence on the relationship between engagement with DMHIs and mental health outcomes. MEDLINE, PsycINFO, and EmBASE databases were searched from inception to August 1, 2021. Original or secondary analyses of randomized controlled trials (RCTs) were included if they examined the relationship between DMHI engagement and post-intervention outcome(s). Thirty-five studies were eligible for inclusion in the narrative review and 25 studies had sufficient data for meta-analysis. Random-effects meta-analyses indicated that greater engagement was significantly associated with post-intervention mental health improvements, regardless of whether this relationship was explored using correlational [ r = 0.24, 95% CI (0.17, 0.32), Z = 6.29, p < 0.001] or between-groups designs [Hedges' g = 0.40, 95% CI (0.097, 0.705), p = 0.010]. This association was also consistent regardless of intervention type (unguided/guided), diagnostic status, or mental health condition targeted. This is the first review providing empirical evidence that engagement with DMHIs is associated with therapeutic gains. Implications and future directions are discussed.

          Systematic Review Registration: PROSPERO, identifier: CRD 42020184706.

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                Author and article information

                Contributors
                Journal
                Front Digit Health
                Front Digit Health
                Front. Digit. Health
                Frontiers in Digital Health
                Frontiers Media S.A.
                2673-253X
                04 November 2021
                2021
                : 3
                : 764079
                Affiliations
                Black Dog Institute, University of New South Wales , Sydney, NSW, Australia
                Author notes

                Edited by: Thomas Berger, University of Bern, Switzerland

                Reviewed by: Matthias Domhardt, University of Ulm, Germany; Kristina Fuhr, University of Tübingen, Germany

                *Correspondence: Daniel Z. Q. Gan danielzq.gan@ 123456unsw.edu.au

                This article was submitted to Digital Mental Health, a section of the journal Frontiers in Digital Health

                Article
                10.3389/fdgth.2021.764079
                8599127
                34806079
                3d4f8cce-c7c2-4b65-9492-33831a372919
                Copyright © 2021 Gan, McGillivray, Han, Christensen and Torok.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 25 August 2021
                : 29 September 2021
                Page count
                Figures: 3, Tables: 1, Equations: 0, References: 73, Pages: 14, Words: 9933
                Categories
                Digital Health
                Systematic Review

                digital mental health,ehealth,mhealth,systematic review,meta-analysis

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