About this trial
This study relies on the use of a smartphone application (SOMA) that the investigators developed for tracking daily mood, pain, and activity status in acute pain, chronic pain, and healthy controls over four months.The primary goal of the study is to use fluctuations in daily self-reported symptoms to identify computational predictors of acute-chronic pain transition, pain recovery, and/or chronic pain maintenance or flareups. The general study will include anyone with current acute or chronic pain, while a smaller sub-study will use a subset of patients from the chronic pain group who have been diagnosed with chronic low back pain, failed back surgery syndrome, or fibromyalgia. These sub-study participants will first take part in one in-person EEG testing session while completing simple interoception and reinforcement learning tasks and then begin daily use of the SOMA app. Electrophysiologic and behavioral data from the EEG testing session will be used to determine predictors of treatment response in the sub-study.
Eligibility criteria
This trial accepts healthy volunteersQualifiers
Age above 18
Access to a personal smartphone and a stable internet connection
Average pain intensity score of greater than 3 in the past week or
Average pain interference score of greater than 3 in the past week or
Disqualifiers
recent injury or surgery unrelated to the pain in the past 3 months
difficulty participating for technical/logistical issues (e.g., no computer, incompatible smartphone, can't commit to 4 months study participation);
Not fluent in English (difficulty understanding questions)
Current primary or metastatic cancer (organic cause of pain)
Trial population
Any person who fits the eligibility criteria for acute pain, chronic pain, or healthy control groups will be eligible to participate in the general parent study. Healthy controls or participants who have a diagnosis of chronic low back pain, failed back surgery syndrom or fibromyalgia are eligible to participate in the in-person EEG sub-study. Participants will be recruited from around Rhode Island and surrounding regions via online ads, listserv announcements, local healthcare clinics, rehab and nursing facilities, word of mouth, social media, and targeted newspaper/magazine/public transportation advertisements. Chronic pain participants eligible for the in-person EEG testing will be recruited via these methods as well as targeted recruitment with physicians treating these patients.
Trial design
Cohort
Prospective
Treatments tested in this trial
SOMA pain manager smartphone application
DeviceSOMA is a smartphone application developed for acute and chronic pain patients to track daily mood and pain symptoms and overall activity.
Treatment groups
Trial outcomes
Primary outcomes
[General Study] Acute-Chronic Pain Transition Probability
Test whether daily affect (incl. mood), pain, activities, and other factors measured by the SOMA app can predict transition from acute to chronic pain, pain recovery, or pain maintenance using mixed effects linear regression model-based analyses to predict long- term pain scores such as pain intensity, unpleasantness, and/or interference
Secondary outcomes
[General Study] Feasibility of long-term app use
Percentage of Soma users in acute and chronic pain groups who engage with the app for 4 months
[General Study] App Engagement
Evaluate user engagement based on number of completed daily ESM assessments per person in the acute and chronic pain groups over the 4 months of app use
[General Study] Pain Dynamics
Test whether variability in daily pain location, intensity, unpleasantness, and interference, and daily pain expectations and prediction errors in the SOMA app can predict long-term pain scores in cross sectional between-group and longitudinal within-subject model-based analyses
[General Study] Activity Dynamics
Test whether types or number of daily activities, the effect of activities on pain, and activity expectations for the next day can predict long-term pain scores in cross sectional and longitudinal model-based analyses.
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