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Measurement selection in assessing outcomes of the Bradley Hospital Children's Partial Hospital Program
Author(s) -
Yaptangco Mona,
Musella Katharine,
Preddy Teri,
Parade Stephanie,
Parent Justin
Publication year - 2018
Publication title -
the brown university child and adolescent behavior letter
Language(s) - English
Resource type - Journals
eISSN - 1556-7575
pISSN - 1058-1073
DOI - 10.1002/cbl.30277
Subject(s) - mental health , partial hospitalization , cognition , selection (genetic algorithm) , health care , psychiatry , psychology , medicine , political science , artificial intelligence , computer science , law
Mental health disorders are a prevalent health concern in the United States, with approximately 20% of children suffering from a mental health disorder. Given the impact of mental health disorders in children (e.g., poor outcomes in academic achievement, lower income, reduced cognitive abilities, etc.), it is increasingly important to determine whether the services and treatment provided are effective. In fact, a dramatic increase in health care costs has subsequently led to the need for formal evaluation of patients and reporting their progress to insurance providers.