Funded Projects

The emergency department is an ideal venue to reach and intervene with adolescents and young adults at risk for opioid misuse, particularly as young adults may disconnect from primary care when transitioning out of care in pediatric settings. This study will evaluate the efficacy of interventions of varying type and intensity to prevent or reduce opioid misuse or opioid use disorder. The research leverages technology that is appealing to youth to facilitate intervention delivery by health coaches. In this study, adolescents and young adults in the emergency department screening positive for opioid use or misuse will be randomly assigned to one of four intervention conditions with outcomes measured at 4, 8, and 12 months. Technology-driven, scalable interventions delivered via health coaches allow for real-time tailoring to the rapidly changing opioid epidemic, with the potential to prevent an increase in opioid misuse among adolescents and young adults.  Black/African American youth are at increased risk for opioid and other substance use, but they often do not participate in research studies. As a result, it is not known how well prevention interventions work with Black/African American people. This supplement will focus on increasing participant diversity and inclusion by recruiting additional Black/African American participants for this ongoing randomized controlled study of technology-driven prevention interventions.

Chronic overlapping pain conditions represent up to half of all chronic pain cases and can be more debilitating than other forms of chronic pain. These conditions include but are not limited to the following: temporomandibular disorders, fibromyalgia, irritable bowel syndrome, vulvodynia, interstitial cystitis/painful bladder syndrome, painful endometriosis, chronic tension type headache, migraine headache, chronic low back pain, and chronic fatigue syndrome. Common neurobiological mechanisms have been suspected to account for the overlap between these conditions, but until recently it has been difficult to efficiently classify each condition within individual patients. A digital classification tool for clinicians has been developed for this purpose, but access to the tool remains limited. Here we propose converting this chronic overlapping pain conditions classification tool into a common web-based application format.