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dc.contributor.authorMukhiya, Suresh Kumar
dc.contributor.authorWake, Jo Dugstad
dc.contributor.authorInal, Yavuz
dc.contributor.authorLamo, Yngve
dc.date.accessioned2021-03-09T11:59:36Z
dc.date.available2021-03-09T11:59:36Z
dc.date.created2020-06-18T12:30:08Z
dc.date.issued2020
dc.identifier.issn2169-3536
dc.identifier.urihttps://hdl.handle.net/11250/2732362
dc.description.abstractInternet-Delivered Psychological Treatments (IDPT) are based on evidence-based psychological treatment models adjusted for interaction through the Internet. The use of Internet technologies has the potential to increase the availability of evidence-based mental health services for a far-reaching population with the use of fewer resources. Despite evidence that Internet Interventions can be effective means in mental health morbidities, most current IDPT systems are tunnel-based, inflexible, and non-interoperable. Hence it becomes essential to understand which elements of an Internet intervention contribute to effectiveness and treatment outcomes. By analogy, adaptation is a central aspect of successful face-to-face mental health therapy. Adaptability to patient needs can be regarded as an essential outcome factor in online systems for mental health interventions as well. While some aspects of rule-based and machine-learning-based adaptation have attracted attention in recent IDPT development, systematic reporting of core components, dimensions of adaptiveness, information architecture, and strategies for adaptation in the IDPT system are still lacking. To bridge this gap, we propose a model that shows how adaptive systems are represented in classical control theory and discuss how the model can be used to specify adaptive IDPT systems. Concerning the reference model, we outline the core components of adaptive IDPT systems, the main adaptive elements, dimensions of adaptiveness, information architecture applied to adaptive systems, and strategies used in the adaptation process. We also provide comprehensive guidelines on how to develop an adaptive IDPT system based on the Person-Based Approach.en_US
dc.language.isoengen_US
dc.publisherInstitute of Electrical and Electronics Engineersen_US
dc.rightsAn error occurred on the license name.*
dc.rights.uriAn error occurred getting the license - uri.*
dc.titleAdaptive Systems for Internet-Delivered Psychological Treatmentsen_US
dc.typeJournal articleen_US
dc.typePeer revieweden_US
dc.description.versionpublishedVersionen_US
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1
dc.identifier.doi10.1109/ACCESS.2020.3002793
dc.identifier.cristin1816146
dc.source.journalIEEE Accessen_US
dc.source.pagenumber112220 - 112236en_US
dc.identifier.citationIEEE Access. 2020, 8, 112220 - 112236.en_US
dc.source.volume8en_US


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