With this NIDA-funded grant, the study team will identify app-based treatment workflows that are demonstrably effective in low-resource settings: namely, telehealth services that are accessible without high-speed internet and deliberately helping patients transition into OUD care from relevant health and community system settings. An intentional focus on rural areas and Black and Hispanic demographics will help enhance health equity, and support solutions for payors.

To measure the participant intervention experience, the study team will utilize qualitative interview data with study participants. These data will be organized into the implementation science categories: Acceptability of Intervention Measure (AIM), Intervention Appropriateness Measure (IAM), and Feasibility of Intervention Measure (FIM).

The study team will determine whether each participant found the intervention to be feasible, acceptable, and/or appropriate. These findings will then be aggregated to better understand how participants experience the implementation of a telemedicine Opioid Use Disorder treatment organization, and will inform a future scaled-up implementation.

Items include: self-rated health, physically unhealthy days, mentally unhealthy days, and activity limitation days.

Values:

Self-rated health: 1 = Excellent, 2 = Very good, 3 = Good, 4 = Fair, 5 = Poor → Minimum = 1 (Excellent), Maximum = 5 (Poor)

Unhealthy days (physical/mental): Range 0-30 days in past 30 days

→ Minimum = 0, Maximum = 30

Direction: Higher scores = worse outcomes (more unhealthy days or poorer self-rated health).