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Published on: January 22, 2016
Customized recommendations and reminder text messages for automated, computer-based treatment during methadone
Brent A Moore1, Frank D Buono1, Destiny M B Printz1
1Department of Psychiatry, Yale University School of Medicine.
Computer-based cognitive behavioral therapy (CBT) interventions can be improved to increase patient engagement. Tailored recommendations and reminder message timing show potential for enhancing use in methadone maintenance patients.
Area of Science:
- Behavioral Science
- Psychology
- Public Health
Background:
- Computer-based interventions show promise for substance use disorder but suffer from low patient engagement.
- The Recovery Line, a CBT-based system for methadone maintenance patients, requires enhanced functions to improve user adherence.
- Continued illicit drug use in methadone-maintained patients necessitates effective digital self-management tools.
Purpose of the Study:
- To evaluate system functions aimed at increasing patient engagement with the Recovery Line, a computer-based CBT intervention.
- To assess the impact of customized recommendations on patient use and usability of the Recovery Line.
- To investigate the effects of reminder message framing and latency on patient engagement with the Recovery Line.
Main Methods:
- Two randomized trials were conducted with methadone-maintained patients experiencing continued illicit drug use.
- Trial 1 compared customized system use recommendations versus no recommendations.
- Trial 2 examined the effects of different message frames and latencies for reminder messages.
Main Results:
- Customized recommendations improved usability ratings but did not significantly increase call frequency or duration.
- Reminder message framing had no effect, but males showed greater contact time with short latency reminders.
- While shorter reminder latencies initially increased call frequency, this effect diminished over time.
Conclusions:
- Computer-based self-management systems can be adapted to boost patient engagement and adherence.
- Optimizing reminder message characteristics, particularly latency, may enhance user interaction in digital health interventions.
- Further development is needed to sustain long-term engagement with automated therapeutic systems.
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