Open AccessCausation and prediction in child and adolescent mental health research
Author(s) -
Larsson Henrik
Publication year - 2021
Publication title -
jcpp advances
Language(s) - English
Resource type - Journals
ISSN - 2692-9384
DOI - 10.1002/jcv2.12026
Subject(s) - causation , translational research , mental health , child and adolescent psychiatry , health care , data science , psychology , computer science , medicine , psychiatry , political science , pathology , law
There have been recent advances in prediction model research in psychiatry. Several validated prediction models are available to support the diagnosis and prognosis of mental health conditions. Prediction model research is translational in nature and the translation pathway includes well conducted epidemiological studies. These studies provide essential information needed to develop new prediction models. Despite the recent advances in prediction model research in psychiatry, there are still important limitations that hamper translation into health care. Comprehensive and transparent reporting as well as an increased focus on external validation, implementation research and stakeholder involvement may help close the translational gap.