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Published on: January 18, 2018
Web-Based Pain Coping Skills Training (PCST) for Managing Aromatase Inhibitor-Associated Arthralgia in Breast Cancer
Zahra Hosseinian1, Ashley Lehan1, Jessica M Powers1
1Department of Medical Social Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL, United States of America.
Background:
Aromatase inhibitors (AIs) are a cornerstone of adjuvant systemic therapy for postmenopausal patients with hormone-receptor positive (HR+) breast cancer. Although AIs decrease cancer recurrence rates and improve survival rates, approximately 50 % of patients experience arthralgia-persistent pain related to worse patient outcomes and poor AI adherence. Current medical interventions for AI-associated arthralgia have limited efficacy and side effects that restrict their use among older patients.
Objective:
The SKIP-Arthralgia trial will test the efficacy of Pain Coping Skills Training (PCST), a cognitive-behavioral therapy (CBT)-informed intervention, delivered via a web-based program called painTRAINER®. PCST and similar CBT-informed pain interventions are efficacious in non-cancer pain and commonly delivered via the Internet, although they have not been tested as a treatment for AI-associated arthralgia.
Methods:
452 breast cancer survivors with AI-associated arthralgia will complete a baseline assessment before being randomized to either painTRAINER plus enhanced usual care (EUC; educational materials about AI therapy, arthralgia, and pain), or to EUC alone. Follow-up assessments will occur approximately 2 weeks after the 8- to 10-week intervention period (post-intervention) and at 3- and 6-months post-intervention. Primary outcomes are pain severity and interference at post-intervention. Secondary outcomes include emotional distress, AI adherence, and health-related quality of life.
Discussion:
This trial aims to fill a gap in evidence-based behavioral pain interventions for breast cancer survivors with AI-associated arthralgia by providing an effective, accessible intervention that could be implemented quickly, including in areas with limited PCST access. If successful, this study could enhance health outcomes for breast cancer survivors on AI therapy and improve adherence to this life-saving medication.
