Opiate-Related Disorders, Opiate Substitution Treatment
Conditions
Brief summary
The goal of this clinical trial is to learn if/how an AI chatbot can support patients who in recovery for substance use, specifically those who are receiving medication for opioid use disorder. Can the chatbot help lower drug use? Can the chatbot help improve clinical appointment adherence? Can the chatbot help patients build self-efficacy in leading their own recovery journey? Will the chatbot help reduce workload burden for primary care teams? Can the chatbot serve as a safe, useful and engaging tool to support patients? Researchers will investigate the effects of using a chatbot to support follow-up care for patients in opioid use recovery. Participants will: * Receive access to a chatbot for 12 weeks that they can use to prepare for upcoming clinical appointments, find community resources, learn about urge-surfing and wellness techniques, and query for assistance with other recovery-related information and tasks * Complete surveys and provide user feedback
Interventions
Participants will: * Participate in a baseline session to complete an initial survey and get trained on using the chatbot * Use the chatbot for 12 weeks and submit a brief weekly survey to provide feedback * Complete a final survey to provide substance use and health information as well as give feedback on the experience using the chatbot * Allow access to a limited set of demographic, substance use and health information in electronic health record for study analyses and context.
Sponsors
Study design
Intervention model description
Pre-Post Intervention
Eligibility
Inclusion criteria
* 18-65 years old * Comfortable with reading, understanding, and communicating in English * Receiving medication treatment for OUD at MGH? * Able to participate in a remote interview? * Own or have reliable access to Wi-Fi or a cellular network * Willing to use a mobile device to access the chatbot?
Exclusion criteria
* Has any cognitive, visual, or auditory impairments that may prevent the participant from using the chatbot on a mobile device? * Unstable medical condition that compromises the ability to safely participate
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Change in self-efficacy for managing chronic conditions (Social Interactions) | 12 weeks | PROMIS Short Form 8a (Social Interactions); scored from 8-40 with higher scores indicating higher confidence with managing social interactions |
| Change in SUD severity | 12 weeks | Addiction Severity Index (ASI) Drugs composite score; Scored 0-7 with higher scores indicating increasing severity |
| Change in psychological health (Anxiety) | 12 weeks | General Anxiety Disorder-7 (GAD-7); scored 0-21 with higher scores indicating increasing anxiety |
| Change in psychological health (Depression) | 12 weeks | Patient Health Questionnaire-8 (PHQ-8); scored 0-24 with higher scores indicating more severe depression |
| Change in self-efficacy for managing chronic conditions (Emotions) | 12 weeks | PROMIS Short Form 8a (Managing Emotions); scored from 8-40 with higher scores indicating higher confidence managing emotions |
Secondary
| Measure | Time frame | Description |
|---|---|---|
| Change in social needs | 12 weeks | Accountable Health Communities Health-Related Social Needs (AHC HRSN) screening; higher scores indicate higher unmet social needs |
| Chatbot usability | End of 12 week intervention | Chatbot Usability Questionnaire (CUQ); scored 0-100 with higher scores indicating higher usability |
| User Satisfaction | End of 12 week intervention | Net Promoter Score (NPS); scored -100 to 100 with higher scores indicating higher user satisfaction |
| Change in quality of life | 12 weeks | World Health Organization Quality of Life (WHOQoL-BREF) Assessment; higher scores indicate higher quality of life |
Countries
United States