Testing an individualized digital decision assist system for the diagnosis and management of mental and behavior disorders in children and adolescents

BMC Medical Informatics and Decision Making

Ketil Thorvik¹  Thomas Brox Røst²  Kaban Koochakpour²  Øystein Nytrø²  Bennett L. Leventhal³  Carolyn E. Clausen⁴  Norbert Skokauskas⁴  Victoria Bakken⁴  Odd Sverre Westbye⁵  Roman Koposov⁶ 

[1] Central Norway Regional Health Information Technology (HEMIT), Trondheim, Norway;Department of Computer Science, Faculty of Information Technology and Electrical Engineering, The Norwegian University of Science and Technology (NTNU), Trondheim, Norway;Division of Child and Adolescent Psychiatry, Department of Psychiatry, The University of California San Francisco (UCSF), San Francisco, California, USA;Regional Center for Child and Youth Mental Health and Child Welfare (RKBU)- Central Norway, IPH, Faculty of Medicine and Health Sciences, The Norwegian University of Science and Technology (NTNU), Trondheim, Norway;Regional Center for Child and Youth Mental Health and Child Welfare (RKBU)- Central Norway, IPH, Faculty of Medicine and Health Sciences, The Norwegian University of Science and Technology (NTNU), Trondheim, Norway;Department of Child and Adolescent Psychiatry, St. Olavs Hospital, Trondheim, Norway;Regional Center for Child and Youth Mental Health and Child Welfare (RKBU)- Northern Norway, UiT The Arctic University of Norway, Tromsø, Norway;Sechenov First Moscow State Medical University, Moscow, Russia;

关键词: Child and adolescent mental health services (CAMHS);    Clinical decision support system (CDSS);    Innovation;    Attention-deficit/hyperactivity disorder (ADHD);    IDDEAS;    Norway;   

DOI  :  10.1186/s12911-020-01239-2

来源: Springer

【 摘 要 】

BackgroundNearly 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/designIDDEAS 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.DiscussionThe 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.Trial registrationISRCTN, ISRCTN12094788. Ongoing study, registered prospectively 8 April 2020 10.1186/ISRCTN12094788

【 授权许可】

CC BY