Richard Houghton1, Rose C Ong1, Federico Bolognani2. 1. Real World Data-Science, Product Development, F. Hoffmann-La Roche, Ltd, Hochstrasse 4, Basel, 4053, Switzerland. 2. Neuroscience, Ophthalmology, and Rare Diseases (NORD), Roche Pharma Research and Early Development, Roche Innovation Center Basel, F. Hoffmann-La Roche Ltd, Grenzacherstrasse 124, Basel, 4070, Switzerland.
Abstract
This study investigated psychotropic medication usage in two large, cohorts of people with autism spectrum disorder (ASD) throughout the calendar year 2014. The cohorts referred to individuals with commercial (employer-sponsored) and Medicaid insurance in the United States. We aimed to understand prescribing patterns of such medications across a wide age-range and in the presence/absence of other clinical and non-clinical characteristics, including psychiatric comorbidities. We described the prevalence and length of prescriptions by age, psychiatric comorbidity and overall. We also fitted multivariable logistic regression models to describe the relationship between treatments and subject characteristics simultaneously. Eighty percent of the identified population was male, although gender did not impact the odds of receiving medication. Medication use was strongly associated with age, increasing most rapidly before adulthood; generally plateauing thereafter. All psychiatric comorbidities studied also individually increased the chances of medication use, with epilepsy and ADHD having the highest associations in both the commercial (OR > 7) and Medicaid (OR around 12) cohorts. Those in non-capitated insurance plans, in foster care and white individuals also had increased odds of prescriptions. Overall, slightly more Medicaid enrollees received any psychotropic treatment (commercial: 64%, Medicaid: 69%). Nonetheless in both cohorts, a large proportion of individuals received treatment even without a diagnosis of any other psychiatric comorbidity (commercial: 31%, Medicaid: 33%). In summary, this report sheds new light on the latest patterns of psychiatric comorbidity profile and psycho-pharmacological treatment patterns in ASD Autism Res 2017, 10: 2037-2047.
This study investigated psychotropic medication usage in two large, cohorts of people with autism spectrum disorder (ASD) throughout the calendar year 2014. The cohorts referred to individuals with commercial (employer-sponsored) and Medicaid insurance in the United States. We aimed to understand prescribing patterns of such medications across a wide age-range and in the presence/absence of other clinical and non-clinical characteristics, including psychiatric comorbidities. We described the prevalence and length of prescriptions by age, psychiatric comorbidity and overall. We also fitted multivariable logistic regression models to describe the relationship between treatments and subject characteristics simultaneously. Eighty percent of the identified population was male, although gender did not impact the odds of receiving medication. Medication use was strongly associated with age, increasing most rapidly before adulthood; generally plateauing thereafter. All psychiatric comorbidities studied also individually increased the chances of medication use, with epilepsy and ADHD having the highest associations in both the commercial (OR > 7) and Medicaid (OR around 12) cohorts. Those in non-capitated insurance plans, in foster care and white individuals also had increased odds of prescriptions. Overall, slightly more Medicaid enrollees received any psychotropic treatment (commercial: 64%, Medicaid: 69%). Nonetheless in both cohorts, a large proportion of individuals received treatment even without a diagnosis of any other psychiatric comorbidity (commercial: 31%, Medicaid: 33%). In summary, this report sheds new light on the latest patterns of psychiatric comorbidity profile and psycho-pharmacological treatment patterns in ASD Autism Res 2017, 10: 2037-2047.
Authors: Alexandra Ramirez-Celis; Lisa A Croen; Cathleen K Yoshida; Stacey E Alexeeff; Joseph Schauer; Robert H Yolken; Paul Ashwood; Judy Van de Water Journal: Mol Psychiatry Date: 2022-05-26 Impact factor: 15.992