| Literature DB >> 28455596 |
Roman Koposov1, Sturla Fossum1, Thomas Frodl2, Øystein Nytrø3, Bennett Leventhal4, Andre Sourander5, Silvana Quaglini6, Massimo Molteni7, María de la Iglesia Vayá8, Hans-Ulrich Prokosch9, Nicola Barbarini10, Michael Peter Milham11, Francisco Xavier Castellanos12, Norbert Skokauskas13.
Abstract
Psychiatric disorders are amongst the most prevalent and impairing conditions in childhood and adolescence. Unfortunately, it is well known that general practitioners (GPs) and other frontline health providers (i.e., child protection workers, public health nurses, and pediatricians) are not adequately trained to address these ubiquitous problems (Braddick et al. Child and Adolescent mental health in Europe: infrastructures, policy and programmes, European Communities, 2009; Levav et al. Eur Child Adolesc Psychiatry 13:395-401, 2004). Advances in technology may offer a solution to this problem with clinical decision support systems (CDSS) that are designed to help professionals make sound clinical decisions in real time. This paper offers a systematic review of currently available CDSS for child and adolescent mental health disorders prepared according to the PRISMA-Protocols (Preferred Reporting Items for Systematic Reviews and Meta-Analyses Protocols). Applying strict eligibility criteria, the identified studies (n = 5048) were screened. Ten studies, describing eight original clinical decision support systems for child and adolescent psychiatric disorders, fulfilled inclusion criteria. Based on this systematic review, there appears to be a need for a new, readily available CDSS for child neuropsychiatric disorder which promotes evidence-based, best practices, while enabling consideration of national variation in practices by leveraging data-reuse to generate predictions regarding treatment outcome, addressing a broader cluster of clinical disorders, and targeting frontline practice environments.Entities:
Keywords: Clinical decision support system; Electronic health records; Mental health informatics; Neurodevelopmental disorders
Mesh:
Year: 2017 PMID: 28455596 DOI: 10.1007/s00787-017-0992-0
Source DB: PubMed Journal: Eur Child Adolesc Psychiatry ISSN: 1018-8827 Impact factor: 4.785