ABSTRACT
BACKGROUND: While multiple treatments for pediatric anxiety and obsessive compulsive disorder (OCD) are efficacious, little is known about their cost-effectiveness. In response, we sought to provide relevant information through systematic review and cost-effectiveness simulation. METHODS: We evaluated the cost-effectiveness of treatment for pediatric anxiety and OCD in two ways. First, we conducted a systematic review following PRISMA guidelines. Second, we evaluated cost-effectiveness for antidepressant medication, cognitive behavioral therapy, and their combination via a simulation that integrated information from the Truven MarketScan database and the NIMH National Database for Clinical Trials Related to Mental Illness. RESULTS: Both systematic review and simulation found antidepressant medication and cognitive behavioral therapy to be cost-effective for pediatric anxiety and OCD. Antidepressant medication was the least costly approach, and cognitive behavioral therapy provided additional cost-effectiveness, especially for OCD. LIMITATIONS: During systematic review, relatively few articles provided information about both costs and effectiveness. While there was a notable margin of error to support multiple interventions as cost-effective, limited prior research decreased precision of point estimates and comparisons between interventions. CONCLUSIONS: Both antidepressant medication and cognitive behavioral therapy were found to be cost-effective for pediatric anxiety and OCD. Results supported investment from third party payers, who serve as critical gatekeepers that can increase treatment dissemination. However, more precise information would better inform the exact amount of investment needed, especially with regard to selection decisions between active interventions. Cost-effectiveness research would benefit from systematic collection of data on treatment costs and quality of life in future clinical trials.
Subject(s)
Obsessive-Compulsive Disorder , Quality of Life , Anxiety , Anxiety Disorders/therapy , Child , Cost-Benefit Analysis , Humans , Obsessive-Compulsive Disorder/therapyABSTRACT
OBJECTIVE: The opioid crisis has had devastating effects on individuals and communities, and it has rapidly increased in severity. However, we still lack nationally representative information on the diversity of comorbidity patterns among prescription opioid use disorder (P-OUD), other substance use disorders (SUDs), and psychopathology using the newest edition of the Diagnostic and Statistical Manual of Mental Disorders (5th ed.; DSM-5; American Psychiatric Association, 2013). This impedes planning for multiple aspects of intervention, including society-wide allocation of treatment resources, program design at individual treatment centers, and personalized care to individual patients. METHOD: To address this critical gap in information, we evaluated clinical profiles of American adults via latent class analysis in a large, recently collected epidemiological dataset that uses structured diagnostic assessment for DSM-5 psychopathology (National Epidemiologic Survey on Alcohol and Related Conditions-III; N = 36,309). Variables considered for profiles included lifetime diagnosis for multiple SUDs, various externalizing and internalizing conditions, and demographic variables. We then associated clinical profiles with demographic variables and functional impairment. RESULTS: Comorbid psychopathology and other SUDs were common in latent classes with elevated and very high rates of P-OUD. To illustrate, alcohol use disorder rates were greater than 45%, and posttraumatic stress disorder rates were greater than 28% in classes with higher P-OUD rates. Higher P-OUD rates were associated with White/non-Hispanic and American Indian/Alaska Native populations. Relationships between P-OUD rates and functional impairment were inconsistent. CONCLUSION: Many current treatment delivery systems are not designed to accommodate the heterogeneous profiles associated with high P-OUD rates. We provide specific suggestions for improvements to the mental health service system, individual clinical care programs, and future research approaches. (PsycINFO Database Record (c) 2019 APA, all rights reserved).
