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dc.contributor.authorClausen, Carolyn E.
dc.contributor.authorLeventhal, Bennett
dc.contributor.authorØystein, Nytro
dc.contributor.authorKoposov, Roman A
dc.contributor.authorWestbye, Odd Sverre
dc.contributor.authorRøst, Thomas Brox
dc.contributor.authorBakken, Victoria
dc.contributor.authorKoochakpour, Kaban
dc.contributor.authorThorvik, Ketil
dc.contributor.authorSkokauskas, Norbert
dc.date.accessioned2020-09-29T07:36:14Z
dc.date.available2020-09-29T07:36:14Z
dc.date.created2020-09-21T10:35:19Z
dc.date.issued2020
dc.identifier.issn1472-6947
dc.identifier.urihttps://hdl.handle.net/11250/2680116
dc.description.abstractBackground Nearly half of all mental health disorders develop prior to the age of 15. Early assessments, diagnosis, and treatment are critical to shortening single episodes of care, reducing possible comorbidity and long-term disability. In Norway, approximately 20% of all children and adolescents are experiencing mental health problems. To address this, health officials in Norway have called for the integration of innovative approaches. A clinical decision support system (CDSS) is an innovative, computer-based program that provides health professionals with clinical decision support as they care for patients. CDSS use standardized clinical guidelines and big data to provide guidance and recommendations to clinicians in real-time. IDDEAS (Individualised Digital DEcision Assist System) is a CDSS for diagnosis and treatment of child and adolescent mental health disorders. The aim of IDDEAS is to enhance quality, competency, and efficiency in child and adolescent mental health services (CAMHS). Methods/design IDDEAS is a mixed-methods innovation and research project, which consists of four stages: 1) Assessment of Needs and Preparation of IDDEAS; 2) The Development of IDDEAS CDSS Model; 3) The Evaluation of the IDDEAS CDSS; and, 4) Implementation & Dissemination. Both qualitative and quantitative methods will be used for the evaluation of IDDEAS CDSS model. Child and adolescent psychologists and psychiatrists (n = 30) will evaluate the IDDEAS` usability, acceptability and relevance for diagnosis and treatment of attention-deficit/hyperactivity disorder. Discussion The IDDEAS CDSS model is the first guidelines and data-driven CDSS to improve efficiency of diagnosis and treatment of child and adolescent mental health disorders in Norway. Ultimately, IDDEAS will help to improve patient health outcomes and prevent long-term adverse outcomes by providing each patient with evidence-based, customized clinical care.en_US
dc.language.isoengen_US
dc.publisherBMC (part of Springer Nature)en_US
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.titleTesting an individualized digital decision assist system for the diagnosis and management of mental and behavior disorders in children and adolescentsen_US
dc.typeJournal articleen_US
dc.typePeer revieweden_US
dc.description.versionpublishedVersionen_US
dc.source.journalBMC Medical Informatics and Decision Makingen_US
dc.source.issue20en_US
dc.identifier.doihttps://doi.org/10.1186/s12911-020-01239-2
dc.identifier.cristin1831540
dc.description.localcode© The Author(s). 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.en_US
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