Investigating the Trajectory and Associated Risk Factors of Clinical Outcomes for Early Childhood Disruptive Behavior Disorders Using Real World Data

Disruptive behavior disorders (DBDs) are common mental health problems among early childhood American youth that, if poorly managed, pose costly psychological and societal burdens. There is limited real world evidence on how parent management training (PMT) – the evidence-based treatment model of choice – implemented in common practice settings within the United States influences the behavioral progress of early childhood DBDs, and the risk factors associated with poor outcomes. This study used data from a measurement feedback system implemented within a U.S.-based private practice to study how behavioral outcomes change as a function of PMT treatment engagement and associated risk factors for 4–7 year-old children diagnosed with DBDs. Over 50% of patients reached optimal outcomes after 10 appointments. Attending 24–29 appointments provided maximum treatment effect – namely, 75% of patients reaching optimal outcomes by end of treatment. Outcomes attenuate after reaching the maximum effect. Patients also had higher odds of reaching optimal outcomes if they had consistent attendance throughout the treatment course. Notable risk factors associated with lower odds of reaching optimal outcomes included Medicaid insurance-type, greater clinical complexity, and having siblings concurrently in treatment. Increased implementation of systems that monitor and provide feedback on treatment outcomes in U.S.-based practice settings and similar investigations using its data can further enhance ‘real world’ management of early childhood DBDs among American youth.