This study will expand and enhance training in evidence-based psychosocial interventions (EBPIs) by designing and testing a computerized training program that is based on adaptive training algorithms. We hypothesize that by simplifying training and supplementing classroom curriculum, we can enhance clinical ability to deliver treatment more competently, more quickly, and with a higher quality of care.
Geographic Area: National
Mobile RDoC: Using smartphone technology to understand Auditory Verbal Hallucinations (AVH)
Using a mobile data collection system that leverages smartphone technology to capture an abundance of time-varying information both passively (i.e., behavioral sensing) and actively (e.g., Ecological Momentary Assessment or EMA) we aim to: 1) Evaluate whether need for care is associated with real-time/real-place AVH experience; 2) Examine relationships between baseline demographic and functional variables, time-varying social and contextual factors, and AVH; 3) Test relationships posited in a cognitive model of AVH.
Developing digital health resources for young adults with early psychosis and their families
This multi-component project aims to (1) gather information about the digital-health related needs, interests, and preferences of young adults with early psychosis and their families, and (2) develop digital health resources that meet those needs. We have collaborated with colleagues to identify interests and needs of family caregivers, and are currently surveying affected young adults. We are also working with a software developer to build a Beta version of a family caregiver-facing mobile health tool providing relevant support and psychoeducation.
Assessing the Determinants and Antecedents of Persecutory Thoughts (ADAPT)
This project aims to deploy a mHealth assessment system in a national sample of individuals who experience persecutory ideation (PI). Specifically, we will (1) evaluate whether PI with need for clinical care is associated with differential phenomenology of PI – frequency, valence, conviction, appraisals, and behavioral responses, (2) examine relationships between baseline clinical, functional and demographic factors, time-varying contextual factors, and PI, and (3) test relationships posited in the cognitive model of PI.
Collaborating to Heal Addiction and Mental Health in Primary Care (CHAMP)
The gold-standard intervention for Opioid Use Disorder (OUD) is Medication for Opioid Use Disorder (MOUD). Because more patients with OUD need access to MOUD in primary care, the AIMS Center at the University of Washington is testing a Collaborative Care model to treat mental health disorders and OUD concurrently in primary care settings. The CHAMP study addresses three important objectives including: 1) Can OUD screening be effectively incorporated into primary care mental health screening protocols?; 2) Does implementing Collaborative Care for OUD and mental health disorders improve outcomes?; 3) What implementation strategies are effective at sustaining Collaborative Care programs that concurrently manage mental health disorders and OUD? In this pragmatic trial, 24 primary care clinics will be randomized to either adding OUD to their Collaborative Care program or maintaining Collaborative Care for mental health disorders only.
Study to Promote Innovation in Rural Integrated Telepsychiatry (SPIRIT)
The primary goal of this project is to quantitatively compare the treatment experience, engagement, self-reported clinical outcomes, and recovery-oriented outcomes of patients initially randomized to telepsychiatry collaborative care and telepsychiatry enhanced referral. In addition, for the subset of patients randomized to telepsychiatry enhanced referral who do not engage in treatment and are still symptomatic at 6 months, an additional goal is to quantitatively compare the treatment experience, treatment engagement, self-reported clinical outcomes and recovery-oriented outcomes of patients randomized to continued- telepsychiatry enhanced referral or phone enhanced referral. Additional goals are to gain an in-depth understanding of patients’ and providers’ treatment experiences and to examine treatment heterogeneity among subgroups of patients based on race/ethnicity, age and clinical severity.
Maternal-Infant Dyad Implementation (MInD-I)
The MInD-I study targets improving dissemination of the evidence based Collaborative Care treatment model for pregnant and postpartum women with depression. Longitudinal remote consultation (LRC) is an implementation strategy that has been have shown to improve fidelity to evidence-based practices and patient outcomes for mental health innovations. The investigators believe LRC can be used with equal benefit for complex interventions such as CC.
The purpose of this study is to compare two implementation strategies for Collaborative Care depression treatment: 1) standard implementation and 2) standard implementation + Longitudinal Remote Consultation (LRC). This research is being done in order to assess implementation and patient outcomes in sites receiving a standard implementation approach with and without LRC. The results of the proposed study will provide information on the benefits and relative value of ongoing consultation, such as LRC, for implementation of complex interventions like collaborative care.
