Critical design decisions and user demographics in enhancing real-time digital mental health interventions: A systematic review

dc.contributor.authorFouyaxis, Johnen
dc.contributor.authorBidargaddi, Niranjanen
dc.contributor.authorDu, Weien
dc.contributor.authorLooi, Jeffrey C.L.en
dc.contributor.authorLipschitz, Jessicaen
dc.date.accessioned2025-05-23T14:22:54Z
dc.date.available2025-05-23T14:22:54Z
dc.date.issued2024-12-15en
dc.description.abstractBackground: Real-time digital mental health interventions, primarily enabled by smartphone technology offer continuous, personalised support, that adapts in response to the changing needs of individuals. Despite being prominently explored in populations with psychiatric disorders, there remains a notable gap in the systematic analysis of demographic characteristics, as well as the foundational design decisions or rules that underpin the personalisation of these interventions.  Objectives: (a) Identifying the prevalent design decisions to enable personalisation within real-time digital mental health interventions, (b) the influence of these design decisions on the clinical outcomes of the interventions, and (c) the demographic characteristics of populations with psychiatric disorders targeted by real-time digital health interventions.  Methods: Following PRISMA (preferred reporting items for systematic reviews and meta-analyses) guidelines, a systematic literature review was conducted of peer-reviewed literature focusing on real-time digital interventions in populations with clinically diagnosed psychiatric disorders. We undertook a narrative synthesis to derive the demographics and personalisation design decisions of the interventions and conducted a pooled meta-analysis to evaluate clinical outcomes.  Results: Interventions predominantly targeted female and Caucasian demographics, yielding modest clinical improvements. Our analysis identified nine critical personalisation design decisions concerning measurement, intervention, and interactions with health professional with varying influence on clinical outcomes.  Conclusion: Understanding the complex nuances of design decisions that shape real-time digital health interventions, as well as identifying which patient demographics benefit most, is fundamental for their effective clinical impact and safe use.  Prospero Registration: PROSPERO CRD42020161663.en
dc.description.statusPeer-revieweden
dc.format.extent17en
dc.identifier.otherORCID:/0000-0003-3351-6911/work/198806911en
dc.identifier.scopus85212159401en
dc.identifier.urihttp://www.scopus.com/inward/record.url?scp=85212159401&partnerID=8YFLogxKen
dc.identifier.urihttps://hdl.handle.net/1885/733752445
dc.language.isoenen
dc.rightsPublisher Copyright: © The Author(s) 2024.en
dc.sourceDigital Healthen
dc.subjectdigital health interventionsen
dc.subjectdigital mental health interventionsen
dc.subjectecological momentary interventionsen
dc.subjectmental healthen
dc.subjectmHealthen
dc.subjectMobile healthen
dc.subjectpersonalisationen
dc.subjectreal-timeen
dc.subjecttailoringen
dc.titleCritical design decisions and user demographics in enhancing real-time digital mental health interventions: A systematic reviewen
dc.typeJournal articleen
dspace.entity.typePublicationen
local.contributor.affiliationFouyaxis, John; Flinders Universityen
local.contributor.affiliationBidargaddi, Niranjan; Flinders Universityen
local.contributor.affiliationDu, Wei; Flinders Universityen
local.contributor.affiliationLooi, Jeffrey C.L.; Medical School Directorate, School of Medicine and Psychology, ANU College of Science and Medicine, The Australian National Universityen
local.contributor.affiliationLipschitz, Jessica; Brigham and Women’s Hospitalen
local.identifier.citationvolume10en
local.identifier.doi10.1177/20552076241306782en
local.identifier.pured1b4686f-e877-4c58-b6e1-695bf2f59228en
local.identifier.urlhttps://www.scopus.com/pages/publications/85212159401en
local.type.statusPublisheden

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