Pain, depressive symptoms, and self-efficacy for pain management: examination in African-American women with breast cancer.

PURPOSE: African-American women with breast cancer face significant disparities, including high levels of pain. Depressive symptoms and self-efficacy for pain management impact how women with breast cancer manage pain, yet little is known about how these variables relate to pain specifically for African-American women with breast cancer. METHODS: Baseline linear regression analyses were conducted using a sample of women (n = 98) with stage I-III breast cancer identifying as Black or African-American who were part of a larger intervention trial. Linear regressions explored the effect of depressive symptoms on pain (i.e., severity and interference), and the effect of self-efficacy for pain management on pain. Covariates were age (M = 57.22, SD = 10.76), cancer stage (50% = stage 1), and education level (36% = some college). RESULTS: Participants reported moderate levels of pain severity and interference. Higher depressive symptoms were related to both higher pain severity and interference; (B = 0.06, p < 0.01, 95% CI [0.02,0.09]) and (B = 0.13, p < 0.001, 95% CI [0.09, 0.17]) respectively. Likewise, lower self-efficacy for pain management was also related to both higher pain severity and interference; (B = - 0.04, p < 0.001, 95% CI [- 0.05, - 0.02]) and (B = - 0.06, p < 0.001, 95% CI [- 0.08, - 0.04]) respectively. Women reporting less than a high school diploma endorsed significantly higher pain severity and interference than women reporting some college. Age and cancer stage were not significantly related to pain. CONCLUSION: Pain for African-American women with breast cancer may be influenced by depressive symptoms and self-efficacy for pain management, in addition to other important variables. Attending to better assessment and treatment of depressive symptoms and self-efficacy for pain management may improve outcomes.

Evolution of a longitudinal, multidisciplinary, and scalable patient navigation matrix model.

This Longitudinal patient navigation Matrix Model was developed to overcome barriers across the cancer care continuum by offering prepatients, patients, and their families with support services. The extraordinary heterogeneity of patient needs during cancer screening, risk assessment, treatment, and survivorship as well as the vast heterogeneity of oncology care settings make it nearly impossible to follow a static navigation model. Our model of patient cancer navigation is unique as it enhances the traditional model by being highly adaptable based on both patient and family needs and scalable based on institutional needs and resources (eg, clinical volumes, financial resources, and community-based resources). This relatively new operational model for system-wide and systematic navigation incorporates a carefully cultivated supportive care program that evolved over the last decade from a bottom up approach that identified patient and family needs and developed appropriate resources. A core component of this model includes shifting away from department-centric operations. This model does not require a patient to opt in or independently be able to report their needs or ask for services-it is an opt out model. The multidisciplinary "cross-training" model can also facilitate reimbursement and sustainability by clarifying the differentiating actions that define navigation services: identification of barriers to quality care and specific actions taken to overcome those barriers, across the full continue of cancer care from community engagement to survivorship or end-of-life care.

Predictors of Intervention Session Completion in a Randomized Clinical Trial of a Behavioral Cancer Pain Intervention.

CONTEXT: Some patients with cancer are able to complete psychosocial pain management intervention sessions, and others find it difficult to do so. OBJECTIVES: Conduct a secondary analysis of a randomized clinical trial (N = 178) that compared delivery formats (in-person vs. videoconference) of a pain coping skills training (PCST) intervention for patients with cancer to examine if intervention session completion predicts postintervention outcomes of pain severity and interference, psychological distress, physical well-being, and pain self-efficacy; and identify predictors (i.e., demographics, medical characteristics, baseline outcome scores) of session completion. METHODS: Session completion (i.e., completing all four sessions vs. missing at least one session) was tested as a predictor of postintervention outcomes. Predictors of session completion were then examined. RESULTS: In both study conditions combined, PCST session completion predicted improvement from baseline to postintervention in pain severity (ß = -0.27; P = 0.03), pain interference (ß = -0.25; P = 0.048), and pain self-efficacy (ß = 0.23; P = 0.07). Participants in the videoconference condition were significantly more likely than those in the in-person condition to complete all sessions (83% vs. 65%; P = 0.006). Participants with at least some college education (odds ratio [OR] 4.36; P = 0.04), a diagnosis of breast cancer (OR 6.73; P = 0.04), and higher levels of pain self-efficacy (OR 2.32; P = 0.02) were more likely to complete videoconference sessions. Participants who lived closer to the medical center (OR 0.64; P = 0.07), had early stage cancer (OR 3.82; P = 0.07), and fewer medical comorbidities (OR 0.59; P = 0.04) were more likely to complete in-person sessions. CONCLUSION: Completing PCST sessions is important for improving pain outcomes. Efforts to increase session completion (e.g., videoconference delivery) should be considered.

Optimizing delivery of a behavioral pain intervention in cancer patients using a sequential multiple assignment randomized trial SMART.

BACKGROUND/AIMS: Pain is common in cancer patients and results in lower quality of life, depression, poor physical functioning, financial difficulty, and decreased survival time. Behavioral pain interventions are effective and nonpharmacologic. Traditional randomized controlled trials (RCT) test interventions of fixed time and dose, which poorly represent successive treatment decisions in clinical practice. We utilize a novel approach to conduct a RCT, the sequential multiple assignment randomized trial (SMART) design, to provide comparative evidence of: 1) response to differing initial doses of a pain coping skills training (PCST) intervention and 2) intervention dose sequences adjusted based on patient response. We also examine: 3) participant characteristics moderating intervention responses and 4) cost-effectiveness and practicality. METHODS/DESIGN: Breast cancer patients (N=327) having pain (ratings≥5) are recruited and randomly assigned to: 1) PCST-Full or 2) PCST-Brief. PCST-Full consists of 5 PCST sessions. PCST-Brief consists of one 60-min PCST session. Five weeks post-randomization, participants re-rate their pain and are re-randomized, based on intervention response, to receive additional PCST sessions, maintenance calls, or no further intervention. Participants complete measures of pain intensity, interference and catastrophizing. CONCLUSIONS: Novel RCT designs may provide information that can be used to optimize behavioral pain interventions to be adaptive, better meet patients' needs, reduce barriers, and match with clinical practice. This is one of the first trials to use a novel design to evaluate symptom management in cancer patients and in chronic illness; if successful, it could serve as a model for future work with a wide range of chronic illnesses.