Clinical Research Directory

Stagewise Implementation-To-Target- Medications for Addiction Treatment (SITT-MAT)

The purpose of this study is to expand access to medications for opioid use disorder (MOUD) in specialty addiction programs in Washington State. Sixty-four addiction treatment programs will participate in an adaptive implementation strategy trial that uses a stagewise implementation-to-target (stepped "care" type) approach whereby organizations engage in increasingly intensive implementation strategies as needed. Organizations are moved to a follow-up/sustainment arm once they have met the implementation targets described below. The design also includes an external comparator arm, which consists of 510 addiction treatment programs that are not participating in the study and will mimic as study controls. The sequence of implementation strategies are: 1. Enhanced Monitoring and Feedback 2. NIATx/MAT Academy 3. Randomization to either NIATx Internal Facilitation or NIATx External Facilitation 4. Assignment to NIATx External Facilitation if outcome targets are not achieved in the NIATx Internal Facilitation arm Implementation targets are: 1. Reach - At least 75% of patients with opioid use disorder (OUD) receiving MOUD for three consecutive months 2. Adoption - At least 1 integrated MOUD prescriber actively prescribing MOUD 3. Implementation - a total score ≥ 4 on the Integrating Medications for Addiction Treatment (IMAT) Index. Contextual moderators and mediators of performance on target outcomes as a function of the implementation strategy step will be examined, as will the costs associated with participation in the sequence of implementation strategies.

Leveraging Artificial Intelligence and Multi-Omics Data to Predict Opioid Addiction

The primary goal of this proposal is to validate a novel genomic and microbiome predictive model that may be used to assess a person's risk of developing opioid use disorder (OUD). The following will be tested: (1) MODUS (Measuring risk for Opioid use Disorder Using SNPs), which is a genomic panel consisting of a set number of proven single nucleotide polymorphisms (SNP) that utilizes machine learning to determine an individual's risk; and (2) MICROUD (MICRObiome for Opioid Use Disorder), which will be a novel microbiome prediction panel for OUD risk. MODUS and MICROUD will be developed using existing public datasets with genomic and microbiome data (e.g., All of Us, Human Microbiome Project). During development of these predictive models, in parallel, an external prospective validation cohort will be recruited consisting of subjects from the University of California, San Diego, Veteran Affairs of San Diego, and Veteran Affairs of Palo Alto (each site with separate IRB). The hypothesis is that MODUS and MICROUD will have high predictive potential for identifying high risk patients for OUD.

Community Opioid Innovation Network (JCOIN): TCU Clinical Research Center

There are two study periods for the TCU JCOIN project. The primary aims of Study 1 (approved by the TCU IRB) are (1) to gather information from staff on the current treatment referral process within participating communities and (2) to learn about the existing interrelationships between medical and community behavioral health (CBH) providers. TCU IRB granted approval for Phase 1 on 11/07/19, approval number: 1920-60-AM1. Study 2 (under current review by the TCU IRB) includes recruitment across 18 community collaboration sites across 3 states; these communities will participate in the TCU Opioid-Treatment Linkage Model (O-TLM) protocol. The O-TLM is focused on best practices for improving screening, identifying and linking to MOUD providers, reducing stigma, and addressing other important factors that impact justice-involved individuals returning to their communities. Along with their agency records, information collected from justice-involved individuals within the target communities will be examined to assess O-TLM impact on improving public health and public safety outcomes. Furthermore, stakeholder staff across community organizations, including criminal justice and treatment agencies, will be asked to complete surveys on the O-TLM regarding its acceptability and adoption, as well as on best training strategies.