Standardized measurements of unhealthy drinking and alcohol use disorder symptoms are integral to addressing alcohol problems. However, surprisingly little is known about how measures of alcohol consumption and alcohol use disorder symptoms function when they are used in real-world routine care settings and documented in electronic health records (EHRs).
We propose to leverage EHRs to understand how measures of alcohol consumption and DSM-5 alcohol use disorder symptoms function in the context of real-world routine care, including by understanding how these measures function psychometrically overall and across demographic groups (age, sex, race, and ethnicity) and how they are associated with subsequent health outcomes obtained from EHRs.
Deaths related to the opioid overdose epidemic remain at an all-time high
across the country despite significant efforts to reduce them. There is a
pressing need to support medication treatment for opioid use disorder (OUD) to
help people stay in treatment and reduce the risk of overdose death and other
serious health consequences of untreated addiction. Smartphone-based apps can
facilitate the delivery of an evidence-based approach called contingency
management that incentivizes use of medications for OUD, reduces use of
non-prescribed opioids and improves retention in OUD treatment.
This study will leverage a commercially available smartphone app that can
bring this much-needed behavioral support to patients receiving OUD treatment
in a primary care clinic and in a specialty OUD treatment clinic. The approach
offers a potentially non-labor intensive, cost-effective and highly scalable
means of delivering OUD care.
This research develops and tests digital technology to help clinicians and patients systematically measure and monitor clinical progress during addiction treatment. The technology is being developed based on end-user input and user-centered design methods and will be pilot tested as an add-on to real-world care in an addiction treatment clinic.
This project aims to develop and test a mobile health (mHealth) intervention designed for caregivers of young adults with early psychosis who are unengaged in services, and specifically to examine whether it can help aid caregiver treatment facilitation.
This small business technology transfer grant will test the feasibility and usability of a smartphone mHealth tool that allows for video directly observed therapy of methadone and remote screening for COVID-19 symptoms.
This project will create a mentored research training program for University of Washington medical students to engage in substance use disorder-focused research and clinical practice during their medical school training.
This project will develop a telephonic collaborative care model for opioid use disorder and depression and then conduct a pragmatic trial to test the model of care management primary care clinics in Washington state and Indiana.
This project will integrate and analyze datasets from multisite clinical trials of alcohol use disorder treatments to understand alcohol addiction research domain criteria (AARDoC) phenotypes and biopsychosocial predictors of alcohol use disorder recovery up to three and ten years following treatment.
This study aims to refine and test a brief intervention (CARE) that aims to promote recovery in recent sexual assault survivors. CARE is delivered to supporters of sexual assault survivors (e.g., friends, family members, romantic partners), with or without the survivor present. It aims to encourage conversations about the assault and decrease negative reactions by the supporter. In stage 1 of this study, we will conduct feedback sessions with 8-10 dyads of survivors and their supporters to finalize the intervention materials. In stage 2, we will conduct a pilot clinical trial of CARE with 60 dyads, who will be randomized to dyadic intervention, supporter-only intervention, or waitlist control.
