Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/29688
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dc.contributor.authorMarshall, Jamie Men
dc.contributor.authorDunstan, Debra Aen
dc.contributor.authorBartik, Warrenen
dc.date.accessioned2020-11-24T23:32:32Z-
dc.date.available2020-11-24T23:32:32Z-
dc.date.issued2020-07-05-
dc.identifier.citationJMIR Research Protocols, 9(7), p. 1-15en
dc.identifier.issn1929-0748en
dc.identifier.urihttps://hdl.handle.net/1959.11/29688-
dc.description.abstract<b>Background:</b> The use of mental health mobile apps to treat anxiety and depression is widespread and growing. Several reviews have found that most of these apps do not have published evidence for their effectiveness, and existing research has primarily been undertaken by individuals and institutions that have an association with the app being tested. Another reason for the lack of research is that the execution of the traditional randomized controlled trial is time prohibitive in this profit-driven industry. Consequently, there have been calls for different methodologies to be considered. One such methodology is the single-case design, of which, to the best of our knowledge, no peer-reviewed published example with mental health apps for anxiety and/or depression could be located.<br/><b>Objective:</b> The aim of this study is to examine the effectiveness of 5 apps (<i>Destressify, MoodMission, Smiling Mind, MindShift, and SuperBetter</i>) in reducing symptoms of anxiety and/or depression. These apps were selected because they are publicly available, free to download, and have published evidence of efficacy.<br/><b>Methods:</b> A multiple baseline across-individuals design will be employed. A total of 50 participants will be recruited (10 for each app) who will provide baseline data for 20 days. The sequential introduction of an intervention phase will commence once baseline readings have indicated stability in the measures of participants’ mental health and will proceed for 10 weeks. Postintervention measurements will continue for a further 20 days. Participants will be required to provide daily subjective units of distress (SUDS) ratings via SMS text messages and will complete other measures at 5 different time points, including at 6-month follow-up. SUDS data will be examined via a time series analysis across the experimental phases. Individual analyses of outcome measures will be conducted to detect clinically significant changes in symptoms using the statistical approach proposed by Jacobson and Truax. Participants will rate their app on several domains at the end of the intervention.<br/><b>Results:</b> Participant recruitment commenced in January 2020. The postintervention phase will be completed by June 2020. Data analysis will commence after this. A write-up for publication is expected to be completed after the follow-up phase is finalized in January 2021.<br/><b>Conclusions:</b> If the apps prove to be effective as hypothesized, this will provide collateral evidence of their efficacy. It could also provide the benefits of (1) improved access to mental health services for people in rural areas, lower socioeconomic groups, and children and adolescents and (2) improved capacity to enhance face-to-face therapy through digital homework tasks that can be shared instantly with a therapist. It is also anticipated that this methodology could be used for other mental health apps to bolster the independent evidence base for this mode of treatment.<br/><b>International Registered Report Identifier (IRRID):</b> PRR1-10.2196/17159en
dc.languageenen
dc.publisherJMIR Publications, Incen
dc.relation.ispartofJMIR Research Protocolsen
dc.titleEffectiveness of Using Mental Health Mobile Apps as Digital Antidepressants for Reducing Anxiety and Depression: Protocol for a Multiple Baseline Across-Individuals Designen
dc.typeJournal Articleen
dc.identifier.doi10.2196/17159en
dc.identifier.pmid32623368en
dcterms.accessRightsUNE Greenen
local.contributor.firstnameJamie Men
local.contributor.firstnameDebra Aen
local.contributor.firstnameWarrenen
local.subject.for2008170106 Health, Clinical and Counselling Psychologyen
local.subject.seo2008920410 Mental Healthen
local.profile.schoolSchool of Psychologyen
local.profile.schoolSchool of Psychologyen
local.profile.schoolSchool of Psychologyen
local.profile.emailjmarsh30@une.edu.auen
local.profile.emailddunstan@une.edu.auen
local.profile.emailwbartik@une.edu.auen
local.output.categoryC1en
local.record.placeauen
local.record.institutionUniversity of New Englanden
local.publisher.placeCanadaen
local.identifier.runningnumbere17159en
local.format.startpage1en
local.format.endpage15en
local.identifier.scopusid85089566654en
local.peerreviewedYesen
local.identifier.volume9en
local.identifier.issue7en
local.title.subtitleProtocol for a Multiple Baseline Across-Individuals Designen
local.access.fulltextYesen
local.contributor.lastnameMarshallen
local.contributor.lastnameDunstanen
local.contributor.lastnameBartiken
dc.identifier.staffune-id:jmarsh30en
dc.identifier.staffune-id:ddunstanen
dc.identifier.staffune-id:wbartiken
local.profile.orcid0000-0002-0298-7393en
local.profile.orcid0000-0001-8344-3306en
local.profile.roleauthoren
local.profile.roleauthoren
local.profile.roleauthoren
local.identifier.unepublicationidune:1959.11/29688en
dc.identifier.academiclevelStudenten
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
local.title.maintitleEffectiveness of Using Mental Health Mobile Apps as Digital Antidepressants for Reducing Anxiety and Depressionen
local.output.categorydescriptionC1 Refereed Article in a Scholarly Journalen
local.relation.doi10.2196/preprints.17159en
local.search.authorMarshall, Jamie Men
local.search.authorDunstan, Debra Aen
local.search.authorBartik, Warrenen
local.open.fileurlhttps://rune.une.edu.au/web/retrieve/19296356-67a2-40f2-bbea-f2c9b387f14een
local.uneassociationYesen
local.atsiresearchNoen
local.sensitive.culturalNoen
local.identifier.wosid000555821800017en
local.year.published2020en
local.fileurl.openhttps://rune.une.edu.au/web/retrieve/19296356-67a2-40f2-bbea-f2c9b387f14een
local.fileurl.openpublishedhttps://rune.une.edu.au/web/retrieve/19296356-67a2-40f2-bbea-f2c9b387f14een
local.subject.for2020520302 Clinical psychologyen
local.subject.seo2020200409 Mental healthen
dc.notification.token9acbb75e-acd1-4f13-bf03-b34664a6e3b1en
Appears in Collections:Journal Article
School of Health
School of Psychology
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