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Predictors of users' adherence to a fully automated digital intervention to manage insomnia complaints

dc.rights.licenseopenen_US
hal.structure.identifierSommeil, Addiction et Neuropsychiatrie [Bordeaux] [SANPSY]
dc.contributor.authorSANCHEZ-ORTUNO, Montserrat
hal.structure.identifierSommeil, Addiction et Neuropsychiatrie [Bordeaux] [SANPSY]
dc.contributor.authorPECUNE, Florian
hal.structure.identifierSommeil, Addiction et Neuropsychiatrie [Bordeaux] [SANPSY]
dc.contributor.authorCOELHO, Julien
hal.structure.identifierSommeil, Addiction et Neuropsychiatrie [Bordeaux] [SANPSY]
dc.contributor.authorMICOULAUD FRANCHI, Jean Arthur
hal.structure.identifierSommeil, Addiction et Neuropsychiatrie [Bordeaux] [SANPSY]
dc.contributor.authorSALLES, Nathalie
hal.structure.identifierSommeil, Addiction et Neuropsychiatrie [Bordeaux] [SANPSY]
dc.contributor.authorAURIACOMBE, Marc
ORCID: 0000-0002-8938-8683
IDREF: 033753210
hal.structure.identifierSommeil, Addiction et Neuropsychiatrie [Bordeaux] [SANPSY]
dc.contributor.authorSERRE, Fuschia
hal.structure.identifierSommeil, Addiction et Neuropsychiatrie [Bordeaux] [SANPSY]
dc.contributor.authorLEVAVASSEUR, Yannick
hal.structure.identifierSommeil, Addiction et Neuropsychiatrie [Bordeaux] [SANPSY]
dc.contributor.authorDE SEVIN, Etienne
hal.structure.identifierSommeil, Addiction et Neuropsychiatrie [Bordeaux] [SANPSY]
dc.contributor.authorSAGASPE, Patricia
hal.structure.identifierSommeil, Addiction et Neuropsychiatrie [Bordeaux] [SANPSY]
dc.contributor.authorPHILIP, Pierre
dc.date.accessioned2023-12-08T10:02:53Z
dc.date.available2023-12-08T10:02:53Z
dc.date.issued2023-12-1
dc.identifier.issn1527-974Xen_US
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/186454
dc.description.abstractEnFully automated digital interventions show promise for disseminating evidence-based strategies to manage insomnia complaints. However, an important concept often overlooked concerns the extent to which users adopt the recommendations provided in these programs into their daily lives. Our objectives were evaluating users' adherence to the behavioral recommendations provided by an app, and exploring whether users' perceptions of the app had an impact on their adherence behavior. Case series study of individuals completing a fully automated insomnia management program, conducted by a virtual agent, during December 2020 to September 2022. Primary outcome was self-reported adherence to the behavioral recommendations provided. Perceptions of the app and of the virtual agent were measured with the Acceptability E-Scale and ECA-Trust Questionnaire. Insomnia was evaluated with the Insomnia Severity Index at baseline (phase 1), after 7 days of sleep monitoring (phase 2) and post-intervention (phase 3). A total of 824 users were included, 62.7% female, mean age 51.85 (±12.55) years. Of them, 32.7% reported having followed at least one recommendation. Users' trust in the virtual agent and acceptance of the app were related to a pre-intervention effect in insomnia severity (phase 2). In turn, larger pre-intervention improvements predicted better adherence. Mediational analyses showed that higher levels of trust in the virtual agent and better acceptance of the app exerted statistically significant positive effects on adherence (β = 0.007, 95% CI, 0.001-0.017 and β = 0.003, 95% CI 0.0004-0.008, respectively). Users' adherence is motivated by positive perceptions of the app's features and pre-intervention improvements. Determinants of adherence should be assessed, and targeted, to increase the impact of fully automated digital interventions.
dc.language.isoENen_US
dc.subject.enInsomnia
dc.subject.enMobile health
dc.subject.enTreatment adherence
dc.title.enPredictors of users' adherence to a fully automated digital intervention to manage insomnia complaints
dc.title.alternativeJ Am Med Inform Assocen_US
dc.typeArticle de revueen_US
dc.identifier.doi10.1093/jamia/ocad163en_US
dc.subject.halSciences du Vivant [q-bio]/Neurosciences [q-bio.NC]en_US
dc.identifier.pubmed37672004en_US
bordeaux.journalJournal of the American Medical Informatics Associationen_US
bordeaux.page1934-1942en_US
bordeaux.volume30en_US
bordeaux.hal.laboratoriesSANPSY - Sommeil, addiction et neuropsychiatrie (UMR 3413, UBx, CNRS)en_US
bordeaux.issue12en_US
bordeaux.institutionUniversité de Bordeauxen_US
bordeaux.institutionCNRSen_US
bordeaux.peerReviewedouien_US
bordeaux.inpressnonen_US
bordeaux.identifier.funderIDAgence Nationale de la Rechercheen_US
bordeaux.import.sourcepubmed
hal.identifierhal-04330865
hal.version1
hal.date.transferred2023-12-08T10:02:55Z
hal.popularnonen_US
hal.audienceInternationaleen_US
hal.exporttrue
workflow.import.sourcepubmed
dc.rights.ccPas de Licence CCen_US
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=Journal%20of%20the%20American%20Medical%20Informatics%20Association&rft.date=2023-12-1&rft.volume=30&rft.issue=12&rft.spage=1934-1942&rft.epage=1934-1942&rft.eissn=1527-974X&rft.issn=1527-974X&rft.au=SANCHEZ-ORTUNO,%20Montserrat&PECUNE,%20Florian&COELHO,%20Julien&MICOULAUD%20FRANCHI,%20Jean%20Arthur&SALLES,%20Nathalie&rft.genre=article


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