Feasibility, engagement, and acceptability of a behavioral pain management intervention for colorectal cancer survivors with pain and psychological distress: data from a pilot randomized controlled trial.

PURPOSE: Colorectal cancer survivors report pain and psychological distress to be burdensome long-term cancer consequences. Quality cancer survivorship care includes interventions for managing these symptoms. Yet, no studies have tested the efficacy of an accessible behavioral intervention for colorectal cancer survivors with pain and comorbid psychological distress. This paper reports on the feasibility (i.e., accrual, attrition, and adherence to study procedures), engagement, acceptability, and descriptive outcomes of a telephone-based coping skills training (CST) intervention. METHODS: This randomized pilot trial assigned colorectal cancer patients (N=31) to 5 sessions of CST or standard care. CST sessions focused on cognitive-behavioral theory-based coping skills tailored to colorectal cancer symptoms of pain and psychological distress. Participants completed assessments of pain severity, self-efficacy for pain management, health-related quality of life, and psychological distress at baseline, post-treatment, and 3-month follow-up. RESULTS: Data indicated strong feasibility, evidenced by high completion rates for intervention sessions and assessments (93% completed all sessions; M=48.7 days; baseline=100%; post-treatment=97%; 3-month follow-up=94%). Participants demonstrated robust engagement with CST (M days per week with reported skills use=3.8) and reported high protocol satisfaction (M=3.6/4.0). Descriptive statistics showed self-efficacy for pain management and health-related quality of life improved for all participants. CONCLUSION: Findings suggest that a telephone-based CST intervention has strong feasibility, evidenced by accrual, low attrition, and adherence to intervention sessions and assessments. Likewise, participant engagement and acceptability with CST were high. These data provide a foundation for larger randomized efficacy trials of the telephone-based CST intervention.

Relationship between social support, physical symptoms, and depression in women with breast cancer and pain.

PURPOSE: Fatigue and pain are common among women with breast cancer, and often related to depressive symptoms. Social support may influence levels of fatigue, pain interference, and depressive symptoms. We tested a theory-based, structural model examining the relationship between social support (i.e., emotional and instrumental) and depressive symptoms via fatigue and pain interference in women with breast cancer. METHODS: Women (N = 327) with stages I-III breast cancer were enrolled in a randomized trial investigating a behavioral pain intervention. Measures of social support, fatigue, pain interference, and depressive symptoms were completed at enrollment. Data were analyzed using structural equation modeling to test direct and indirect pathways relating social support, fatigue, pain interference, and depressive symptoms. RESULTS: Our model evidenced good fit. Significant direct effects emerged linking higher levels of emotional support with lower levels of fatigue (ß = -.30), pain interference (ß = -.32), and depressive symptoms (ß = -.31). More instrumental support was significantly associated with more depressive symptoms (ß = .11), but not fatigue or pain interference. Higher levels of fatigue (ß = .30) and pain interference (ß = .34) were significantly related to higher levels of depressive symptoms. More emotional support related to less depressive symptoms via lower levels of fatigue (ß = -.09) and pain interference (ß = -.11). CONCLUSION: Women reporting higher levels of emotional support endorsed fewer depressive symptoms, and that relationship was driven by lower levels of fatigue and pain interference. Our results highlight novel pathways that healthcare professionals can leverage to optimize social support topics in psychosocial interventions targeting breast cancer symptoms. This model should be replicated using longitudinal data.