Predictors of engagement in an internet-based cognitive behavioral therapy program for veterans with chronic low back pain
| Autor: | Sarah L. Krein, Allison M Halat, R. Ross MacLean, David R. Williams, Chelsey Solar, Matthew J. Bair, Haseena Rajeevan, Robert D. Kerns, Alicia A. Heapy, Diana M. Higgins |
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| Rok vydání: | 2020 |
| Předmět: |
Male
medicine.medical_specialty 020205 medical informatics medicine.medical_treatment Psychological intervention Ethnic group 02 engineering and technology Affect (psychology) 03 medical and health sciences Behavioral Neuroscience 0302 clinical medicine Intervention (counseling) 0202 electrical engineering electronic engineering information engineering medicine eHealth Humans 030212 general & internal medicine Applied Psychology Veterans Internet Cognitive Behavioral Therapy business.industry Chronic pain Middle Aged medicine.disease Quantile regression Cognitive behavioral therapy Physical therapy Female Chronic Pain business Low Back Pain Internet-Based Intervention |
| Zdroj: | Translational Behavioral Medicine. 11:1274-1282 |
| ISSN: | 1613-9860 1869-6716 |
| DOI: | 10.1093/tbm/ibaa098 |
| Popis: | Internet-based interventions for chronic pain have demonstrated efficacy and may address access barriers to care. Participant characteristics have been shown to affect engagement with these programs; however, limited information is available about the relationship between participant characteristics and engagement with internet-based programs for self-management of chronic pain. The current study examined relationships between demographic and clinical characteristics and engagement with the Pain EASE program, a self-directed, internet-based cognitive behavioral therapy intervention for veterans with chronic low back pain (cLBP). Veterans with cLBP were enrolled in a 10 week trial of the Pain EASE program. Engagement measures included the number of logins, access to coping skill modules, and completed study staff-initiated weekly check-in calls. Regression analyses were conducted to identify significant predictors of engagement from hypothesized predictors (e.g., race/ethnicity, age, depressive symptom severity, and pain interference). Participants (N = 58) were 93% male, 60.3% identified as White, and had a mean age of 54.5 years. Participants logged into the program a median of 3.5 times, accessed a median of 2 skill modules, and attended a median of 6 check-in calls. Quantile regression revealed that, at the 50th percentile, non-White-identified participants accessed fewer modules than White-identified participants (p = .019). Increased age was associated with increased module use (p = .001). No clinical characteristics were significantly associated with engagement measures. White-identified race/ethnicity and increased age were associated with greater engagement with the Pain EASE program. Results highlight the importance of defining and increasing engagement in internet-delivered pain care. |
| Databáze: | OpenAIRE |
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