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dc.contributor.authorEdge, D
dc.contributor.authorWatkins, ER
dc.contributor.authorLimmond, J
dc.contributor.authorMugadza, J
dc.date.accessioned2023-04-03T07:48:08Z
dc.date.issued2023-03-22
dc.date.updated2023-04-02T20:04:49Z
dc.description.abstractBackground Anxiety and depression are highly prevalent mental disorders which are associated with a considerable personal and economic burden. As treatment alone has a minimal impact on prevalence, there is now a growing focus on interventions which may help prevent anxiety and depression. Internet and mobile based interventions have been identified as a useful avenue for the delivery of preventative programmes due to their scalability and accessibility. The efficacy of interventions that do not require additional support from a trained professional (self-guided) in this capacity is yet to be explored. Method A systematic search was conducted on the Cochrane Library, PubMed, PsycARTICLES, PsycINFO, OVID, MEDline, PsycEXTRA and SCOPUS databases. Studies were selected according to defined inclusion and exclusion criteria. The primary outcome was evaluating the effect of self-guided internet and mobile based interventions on incidence of anxiety and depression. The secondary outcome was effect on symptom severity. Results After identifying and removing duplicates, 3211 studies were screened, 32 of which were eligible for inclusion in the final analysis. Nine studies also reported incidence data (depression = 7, anxiety = 2). The overall Risk Ratios for incidence of anxiety and depression were 0.86 (95% CI [0.28, 2.66], p = .79) and 0.67 (95% CI [0.48, 0.93], p = .02) respectively. Analysis for 27 studies reporting severity of depressive symptoms revealed a significant posttreatment standardised mean difference of −0.27 (95% CI [ −0.37, −0.17], p < .001) for self-guided intervention groups relative to controls. A similar result was observed for 29 studies reporting severity of anxiety symptoms with a standardised mean difference of −0.21 (95% CI [-0.31, −0.10], p < .001). Conclusions Self-guided internet and mobile based interventions appear to be effective at preventing incidence of depression, though further examination of the data suggests that generalisability of this finding may be limited. While self-guided interventions also appear effective in reducing symptoms of anxiety and depression, their ability to prevent incidence of anxiety is less clear. A heavy reliance on symptom measures in the data analysed suggests future research could benefit from prioritising the use of standardised diagnostic measuring tools to assess incidence. Future systematic reviews should aim to include more data from grey literature and reduce the impact of study heterogeneity.en_GB
dc.format.extent104292-
dc.identifier.citationVol. 164, article 104292en_GB
dc.identifier.doihttps://doi.org/10.1016/j.brat.2023.104292
dc.identifier.urihttp://hdl.handle.net/10871/132822
dc.language.isoenen_GB
dc.publisherElsevieren_GB
dc.rights© 2023 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).en_GB
dc.subjectInterneten_GB
dc.subjectMobile-baseden_GB
dc.subjectPreventionen_GB
dc.subjectDepressionen_GB
dc.subjectAnxietyen_GB
dc.subjectSelf-guideden_GB
dc.titleThe efficacy of self-guided internet and mobile-based interventions for preventing anxiety and depression – A systematic review and meta-analysisen_GB
dc.typeArticleen_GB
dc.date.available2023-04-03T07:48:08Z
dc.identifier.issn0005-7967
exeter.article-number104292
dc.descriptionThis is the final version. Available on open access from Elsevier via the DOI in this recorden_GB
dc.descriptionData availability: Data will be made available on request.en_GB
dc.identifier.journalBehaviour Research and Therapyen_GB
dc.relation.ispartofBehaviour Research and Therapy, 164
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en_GB
dcterms.dateAccepted2023-03-14
rioxxterms.versionVoRen_GB
rioxxterms.licenseref.startdate2023-03-22
rioxxterms.typeJournal Article/Reviewen_GB
refterms.dateFCD2023-04-03T07:46:46Z
refterms.versionFCDVoR
refterms.dateFOA2023-04-03T07:48:09Z
refterms.panelAen_GB


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© 2023 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
Except where otherwise noted, this item's licence is described as © 2023 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).