Computerized recovery support for substance use disorders: predictors of posttreatment usage

Area of Science:

• Addiction Medicine
• Digital Health
• Behavioral Science

Background:

• Computerized recovery support programs offer tailored content post-treatment.
• Low engagement with digital health tools is a significant challenge in addiction recovery.
• Recovery coaches are a key component of some digital support programs.

Purpose of the Study:

• To identify characteristics differentiating highly engaged from non-engaged patients in a digital recovery program.
• To understand predictors of engagement with a multimedia recovery support system.

Main Methods:

• Assessed patient engagement with a computerized program over 18 months post-residential treatment.
• Measured program logins, clinical content accessed, and recovery coach contacts.
• Analyzed demographic variables, motivation, and 12-step group attendance as potential predictors.

Main Results:

• Demographic variables, recovery coach contacts, motivation, and 12-step attendance predicted program engagement.
• These factors collectively differentiated patients with high versus low engagement levels.
• Recovery coach interaction emerged as a significant predictor of sustained engagement.

Conclusions:

• Low engagement with digital health programs is a common issue in addiction recovery.
• Understanding engagement factors is vital for optimizing digital therapeutic interventions.
• Future research should focus on strategies to enhance patient participation in digital recovery support.