Browsing by Subject "Substance Use Disorder"

Now showing 1 - 3 of 3
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    Doctoral Capstone Experiential at Camp Mariposa: Aaron’s Place
    (2021-04) Huber, Megan H.; Wilburn, Victoria G.; Department of Occupational Therapy, School of Health and Human Sciences; Wilburn, Victoria G.
    Dependence on alcohol, illicit substances, and opioids impact the parent-child relationship, childhood development, and child behaviors (Romanowicz et al., 2019). There is a strong association between parental substance abuse and subsequent child maltreatment (Opioids and Youth, 2018). Substance use disorder (SUD) can lead to family trauma and significantly impact the child’s life trajectory. However, given the support, knowledge, and tools necessary to intervene, it is possible to mitigate the negative effects of SUD and trauma. Camp Mariposa: Aaron’s Place is a camp for youth ages 9-12 who have been impacted by a family member’s SUD. By applying underutilized approaches to family and group therapy, such as yoga, theatre, and nature-based crafts, this camp promotes resiliency, protective factors, and post-traumatic growth.
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    Drug Use in Indiana: A Regional Perspective
    (The Center for Health Policy, 2019-05-01) Gutta, Jyosna; Greene, Marion
    Indiana consists of 92 counties, which can be divided into 8 service regions. The prevalence of substance misuse can differ between the individual regions. Compared to the state’s average, rates of underage drinking, smoking, and illicit drug use were particularly high in Indiana’s Western region. The most frequently used substances among Indiana students in grades 8, 10, and 12 were alcohol, electronic vape products, marijuana, traditional (combustible) cigarettes, and prescription drugs. Understanding each region’s unique needs is a vital component to designing programs dedicated to improving overall Hoosier health.
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    Improving Treatment Completion for Young Adults with Substance Use Disorder: Machine Learning-Based Prediction Algorithms
    (2024-09) Walton, Betty; Hong, Saahoon; Kwon, Hyejean; Kim, Hea-Won; Moynihan, Stephanie
    Substance Use Disorder treatment completion has been associated with positive outcomes, such as reduced relapse rates and longer periods of abstinence. A study identified factors influencing SUD treatment completion among young adults (aged 18–25) receiving publicly funded outpatient services. This research brief describes how a machine learning decision tree model explored interactions between functional behavioral health needs and strengths, criminal justice system involvement, and completing treatment. A machine learning approach made it possible to identify complex relationships among many factors, improving our understanding on where to focus treatment.