This study is a multi-site, cluster randomized, two group implementation trial comparing a low- versus high-intensity implementation strategy for supporting hospital-based opioid use disorder treatment (HBOT) in community hospital settings where medication for opioid use disorder (MOUD) treatment has not been implemented.

The study will randomize approximately 24 community hospitals meeting defined eligibility requirements, including a desire to address OUD among inpatients through the use of MOUD. Community hospitals will be randomized 1:1 to implement a low- or high-intensity strategy. Hospitals will be randomized with intervention implementation and oversight assigned to one of 3-4 geographically diverse hub academic medical centers with existing clinical and research expertise in HBOT. The randomization will be stratified by site/hub. Participants will be assessed for "engagement with MOUD", measured as the proportion of community hospital OUD discharges engaged with MOUD within 34 days following hospital discharge during months 13-24 of the intervention. Further outcomes will be assessed during the entire 4-year study period.

Inclusion Criteria:

1. Be a community hospital deemed by the lead investigators to be in the region of a site/hub. Region will usually be defined as state unless a compelling case can be made as to geographic feasibility of implementing the intervention and access to relevant Medicaid data.
2. Be willing to identify a site champion to promote and adopt change that can address OUD in hospitalized patients.
3. Have hospital personnel who state that their institution is interested in and would be willing to work to implement MOUD prior to hospital discharge.
4. Commit to having buprenorphine-waivered prescribers willing and able to write prescriptions to bridge discharged patients to post-discharge OUD treatment, or available direct entry into outpatient MOUD with methadone or buprenorphine.
5. Have hospital staff who express willingness to engage with a site/hub team for training and for data collection.
6. Be willing to be randomized to low-intensity or high-intensity implementation support.
7. Provide inpatient general medical care.
8. Have sufficient numbers of Medicaid OUD discharges (any listed diagnosis; sufficient is defined as at least enough such that when added to the other hospitals in the region there are on average 100 discharges per year). Medicaid data must capture at least 3 discharge diagnoses, outpatient MOUD, and be available within no more than 12 months of discharge.

Exclusion Criteria:

1. Have an ACS routinely prescribing MOUD at discharge.
2. Have an existing, functioning HBOT program or be imminently starting an HBOT initiative, as confirmed by the investigator team.
3. Be a Veterans Affairs hospital.

Data will be transmitted by the study Data and Statistics Center to the designated party for de-identification, posting, storing, and archiving on the National Institute on Drug Abuse (NIDA) Data Share website. Data Share is an online repository of data from studies funded by the National Institute on Drug Abuse. De-identified individual participant data is expected to be made available.

The data will be shared after the primary outcome paper has been accepted for publication, or 18 months after data lock, whichever comes first. The data will remain indefinitely.

Data from this study will be available to researchers on the website https://datashare.nida.nih.gov/ after the study is complete and the data is analyzed. This website will not include information that can identify individual study participants.The following information will be posted: Study protocol, reference to study publication of primary outcome, data sets (SAS and ASCII ), annotated case report forms, define file (also known as Data Dictionary), study-specific de-identification notes. Prior to downloading any study data, the user will be prompted to complete a registration agreement for data use. Users will have to register a name and valid e-mail address in order to download data and to accept their responsibility for using data in accordance with the NIDA Data Share Agreement.