Walton, BettyHong, SaahoonKwon, HyejeanKim, Hea-WonMoynihan, Stephanie2024-09-252024-09-252024-09Walton, B., Hong, S., Kwon, H., Kim, H., & Moynihan, S. (2024). The intersectionality of factors predicting co-occurring disorders: A decision tree model (Research Brief No. 4). Indiana University School of Social Work.https://hdl.handle.net/1805/43602Individuals with co-occurring psychiatric and substance use disorders (COD) face challenges accessing care, accurate diagnoses, and effective treatment. To better understand factors other than substance use, which differentiates COD from psychiatric disorders PD, a study examined the combined effects of age, gender identity, race/ethnicity, pandemic, behavioral health needs, useful strengths, and COD. Involvement in recovery, active participation in treatment and managing one’s health, was the strongest predictor of having COD. This research brief highlights finding and key takeaways with implication for creating accessible, effective services, building life functioning skills, identifying risky behavior, and person-centered recovery planning.en-USCo-occurring DisordersBehavioral HealthIntersectionalityInvolvement in RecoveryDecision Tree Model