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      Internet- and mobile-based aftercare and relapse prevention interventions for anxiety and depressive disorders: a systematic review

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          Abstract

          Background

          Digital interventions present potential solutions for aftercare and relapse prevention in anxiety and depressive disorders. This systematic review synthesizes evidence on the efficacy of internet- and mobile-based interventions for post-acute care in these conditions.

          Methods

          A systematic search was conducted in electronic databases (MEDLINE, CENTRAL, Scopus, Web of Science, PsycINFO, PsycARTICLES, PsycEXTRA, ProQuest Dissertations and Theses Open, Open Access Theses and Dissertations, and Open Grey) for randomized controlled trials evaluating digital aftercare or relapse prevention interventions for adults with anxiety or depressive disorders. Primary outcomes included symptom severity, relapse rates, recurrence rates, and rehospitalization. Secondary outcomes included general quality of life and adherence to primary treatment. Risk of bias was assessed using the Cochrane tool.

          Results

          Nineteen studies (3,206 participants) met the inclusion criteria. Interventions included cognitive-behavioral therapy, mindfulness-based approaches, and supportive text messaging. Most studies focused on depression, with limited evidence for anxiety disorders. Notably, fourteen studies that reported on depressive symptoms demonstrated significant improvements following digital interventions, with effect sizes ranging from small (Cohen’s d = 0.20) to large (Cohen’s d = 0.80). Five studies investigated relapse or recurrence rates, yielding mixed results. Adherence rates varied significantly across studies, ranging from 50 to 92.3%, highlighting the variability in participant engagement. Methodological quality was also variable, with allocation concealment and blinding being common limitations.

          Conclusion

          Internet- and mobile-based interventions show promise for aftercare and relapse prevention in depression, with limited evidence for anxiety disorders. Future research should focus on optimizing engagement, personalizing interventions, standardizing outcome measures, and conducting larger trials with longer follow-up periods. These findings have important implications for integrating digital tools into existing care pathways to improve long-term outcomes for individuals with anxiety and depressive disorders.

          Systematic review registration

          https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42020151336, CRD42020151336.

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          Most cited references51

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          The Cochrane Collaboration’s tool for assessing risk of bias in randomised trials

          Flaws in the design, conduct, analysis, and reporting of randomised trials can cause the effect of an intervention to be underestimated or overestimated. The Cochrane Collaboration’s tool for assessing risk of bias aims to make the process clearer and more accurate
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            PRISMA 2020 explanation and elaboration: updated guidance and exemplars for reporting systematic reviews

            The methods and results of systematic reviews should be reported in sufficient detail to allow users to assess the trustworthiness and applicability of the review findings. The Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) statement was developed to facilitate transparent and complete reporting of systematic reviews and has been updated (to PRISMA 2020) to reflect recent advances in systematic review methodology and terminology. Here, we present the explanation and elaboration paper for PRISMA 2020, where we explain why reporting of each item is recommended, present bullet points that detail the reporting recommendations, and present examples from published reviews. We hope that changes to the content and structure of PRISMA 2020 will facilitate uptake of the guideline and lead to more transparent, complete, and accurate reporting of systematic reviews.
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              Depression

              Major depression is a common illness that severely limits psychosocial functioning and diminishes quality of life. In 2008, WHO ranked major depression as the third cause of burden of disease worldwide and projected that the disease will rank first by 2030.1 In practice, its detection, diagnosis, and management often pose challenges for clinicians because of its various presentations, unpredictable course and prognosis, and variable response to treatment.

                Author and article information

                Contributors
                URI : https://loop.frontiersin.org/people/1843180/overviewRole: Role:
                URI : https://loop.frontiersin.org/people/1149353/overviewRole: Role:
                Role: Role: Role: Role:
                URI : https://loop.frontiersin.org/people/2223310/overviewRole: Role:
                Journal
                Front Psychol
                Front Psychol
                Front. Psychol.
                Frontiers in Psychology
                Frontiers Media S.A.
                1664-1078
                12 December 2024
                2024
                : 15
                : 1474016
                Affiliations
                [1] 1Laboratory of Advanced Studies in Clinical Psychology, Faculty of Psychology and Educational Sciences, University of Bucharest , Bucharest, Romania
                [2] 2Faculty of Physical Education and Sports, Wroclaw University of Health and Sport Sciences , Wrocław, Poland
                [3] 3Faculty of Psychology and Educational Sciences, University of Bucharest , Bucharest, Romania
                [4] 4Department of Experimental and Theoretical Neuroscience, Transylvanian Institute of Neuroscience , Cluj-Napoca, Romania
                Author notes

                Edited by: Simone Battaglia, University of Bologna, Italy

                Reviewed by: Masaru Tanaka, University of Szeged, Hungary

                Claudio Nazzi, University of Bologna, Italy

                *Correspondence: Ligiana Mihaela Petre, ligiana.petre@ 123456fpse.unibuc.ro
                Article
                10.3389/fpsyg.2024.1474016
                11670138
                39726621
                28ca1b11-ec15-4579-894f-384d38032d86
                Copyright © 2024 Petre, Piepiora, Gemescu and Gheorghe.

                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
                : 07 August 2024
                : 27 November 2024
                Page count
                Figures: 1, Tables: 3, Equations: 0, References: 51, Pages: 20, Words: 13351
                Funding
                The author(s) declare that financial support was received for the research, authorship, and/or publication of this article. DAG is funded by the Ministry of Research, Innovation and Digitization, CNCS—UEFISCDI, project number PN-III-P1-1.1-PD-2021-0138, within PNCDI III and through HORIZON TMA MSCA Postdoctoral Fellowships - European Fellowships: HORIZON-WIDERA-2022-TALENTS-02, Project number: 101090316 NUCA.
                Categories
                Psychology
                Systematic Review
                Custom metadata
                Psychology for Clinical Settings

                Clinical Psychology & Psychiatry
                depression,anxiety,digital interventions,aftercare,relapse prevention,internet-based,mobile-based,systematic review

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