Browsing by Author "Halat, Allison M."

Now showing 1 - 2 of 2
  • Thumbnail Image
    Item
    If you personalize it, will they use it?: Self-reported and observed use of a tailored, internet-based pain self-management program
    (Oxford University Press, 2022) Reuman, Lillian; Solar, Chelsey; MacLean, R. Ross; Halat, Allison M.; Rajeevan, Haseena; Williams, David A.; Heapy, Alicia A.; Bair, Matthew J.; Krein, Sarah L.; Kerns, Robert D.; Higgins, Diana M.; Medicine, School of Medicine
    Little is known about how individuals with chronic pain use tailored internet-based interventions. This study is the first to compare self-reported skill module use to observed module access and to examine each of these in relationship to tailored recommendations to access specific content. Participants (N = 58) enrolled in a 10-week trial of the Pain EASE program, a tailored internet-based intervention that includes 10 pain self-management skill modules. Participants completed a “Self-Assessment,” which was used to provide a “Personalized Plan” that encouraged accessing specific modules. Participants self-reported module use during weekly data collection telephone calls. Program log data were extracted to capture “observed” module use during the trial period. Findings indicated significantly greater self-reported use of the Pain EASE modules compared to observed access with log data. Further, log data revealed that participants accessed less than half of the modules recommended to them via tailoring.
  • Thumbnail Image
    Item
    Predictors of engagement in an internet-based cognitive behavioral therapy program for veterans with chronic low back pain
    (Oxford University Press, 2021) Solar, Chelsey; Halat, Allison M.; MacLean, R. Ross; Rajeevan, Haseena; Williams, David A.; Krein, Sarah L.; Heapy, Alicia A.; Bair, Matthew J.; Kerns, Robert D.; Higgins, Diana M.; Medicine, School of Medicine
    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.