Chronic Pain, Opioid Use
Conditions
Keywords
Chronic Pain, Opioids, Prescription Opioids, Pain, Musculoskeletal Pain, Mobile Apps, Mobile Health, Neurofeedback, EEG Feedback, Biofeedback, Alternative Therapy
Brief summary
The purpose of this study is to develop and test the feasibility of a commercially-ready mobile neurofeedback app for individuals with chronic pain. Thirty (30) participants who are prescribed opioids for chronic pain will use the new mobile neurofeedback app and an EEG headset for 10 minutes at a time, 4 times a week for 12 weeks and provide feedback about using the app.
Detailed description
In this STTR Phase I project, CrossComm will collaborate with Duke University to develop a commercial-ready mobile neurofeedback technology and test its feasibility among patients using opioids to treat chronic pain. Specific Aim 1 is to develop a commercial-ready mobile neurofeedback app and will be built according to commercial standards of robustness and maintainability. Specific Aim 2 is to test feasibility of the commercially available mobile app in N=30 patients with chronic pain prescribed opioids. Participants will be recruited for a baseline interview with the Duke Behavioral Health & Technology Lab after passing a preliminary telephone screen. After providing informed consent, participants will provide data on demographics, pain symptoms, and opioid consumption. Each participant will download the mobile neurofeedback app to their smartphone and be instructed to use the intervention for 10 minutes a day, 4 times a week for 12 weeks. Study coordinators will conduct four teleconference sessions (weeks 1, 3, 6 and 9) to reinforce training, troubleshoot difficulties, and support intervention utilization. After the 12-week mobile neurofeedback intervention, the investigators will collect follow-up data, including pain measures, mobile app (usage, satisfaction, & usability), and user feedback on the human-computer interface. Data from these will inform further app refinement preparing for STTR Phase II.
Interventions
DEVICEMobile Neurofeedback App
Neurofeedback intervention delivered via mobile app. Participants wear an EEG headset which is connected to a mobile app that delivers feedback about brainwave data indicating whether they are in a calm, relaxed state. Participants hear a lower/simple sound when they are below a target level and higher/richer sound when they approach or achieve their target.
Sponsors
Duke University
National Institute on Drug Abuse (NIDA)
CrossComm, Inc.
Study design
Allocation
NA
Intervention model
SINGLE_GROUP
Primary purpose
DEVICE_FEASIBILITY
Masking
NONE
Eligibility
Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
No
Inclusion criteria
* Reports chronic pain (≥4 on 0-10 Numeric Rating Scale (NRS) on most days during the past 3 months) * Prescribed opioids for pain management
Exclusion criteria
* History of seizures * Plans to have pain-related surgery in the next 3 months * Has an implanted medical device that could experience interference during EEG, such as a spinal cord stimulator or pacemaker
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Mobile App Usage | 12 weeks | Objective data on number of mobile neurofeedback sessions completed by participants. Intervention adherence data will inform the feasibility of real-world use of the commercial-ready mobile app. |
Secondary
| Measure | Time frame | Description |
|---|---|---|
| Mobile App Satisfaction assessed on a 5-point Likert scale (1: very dissatisfied - 5: very satisfied) | At 3 month follow-up (end of intervention) | Rating on a 5-point Likert scale (1: very dissatisfied - 5: very satisfied) of how satisfied participants were with the mobile neurofeedback app. |
| Mobile App Usability assessed by the System Usability Scale | At 3 month follow-up (end of intervention) | The participant indicates level of agreement with 10 statements (1: strongly disagree - 5 strongly agree). Scores for each question are converted to a new number, added together and then multiplied by 2.5 to convert the original scores of 0-40 to 0-100. (From: https://www.usability.gov/how-to-and-tools/methods/system-usability-scale.html) Higher scores indicate better usability. |
Countries
United States
Outcome results
None listed