Managing Symptom Distress: Key Factors for Patients on Adjuvant Endocrine Therapy for Breast Cancer.

CONTEXT: Patients with breast cancer taking adjuvant endocrine therapy (AET) experience significant symptoms impacting mood, quality of life (QOL), and AET adherence and satisfaction. OBJECTIVES: The aim of this study was to examine the extent to which coping ability and self-efficacy for symptom management moderate the relationships between patients' symptom distress and their mood, QOL, and AET adherence and satisfaction. METHODS: As part of a randomized controlled trial, participants completed baseline measures including: sociodemographics, symptom distress (breast cancer prevention trial symptom checklist), coping skills (measure of current status), self-efficacy (self-efficacy for managing symptoms), anxiety and depression (hospital anxiety and depression scale), QOL (functional assessment of cancer therapy - general), AET adherence (medication adherence report scale), and AET satisfaction (cancer therapy satisfaction questionnaire). We conducted moderated regression analyses to examine whether coping and self-efficacy moderated the associations of symptom distress with baseline measures. RESULTS: Coping skills moderated the associations of symptom distress with depression and QOL. Among those with lower coping, higher symptom distress was associated with worse depression symptoms (p=.04) and worse QOL (p < 0.001). Self-efficacy moderated the associations of symptom distress with depression symptoms and AET adherence and satisfaction. Among those with higher self-efficacy, higher symptom distress was associated with worse depression symptoms (p < 0.001), worse AET adherence (p < 0.001), and less AET satisfaction (p = 0.01). CONCLUSION: Coping skills may buffer the effect of AET symptom distress. Findings indicate the relationship between symptom distress and self-efficacy is more nuanced and requires further research to better understand.

Clinician Perceptions of Barriers and Facilitators for Delivering Early Integrated Palliative Care via Telehealth.

Early integrated palliative care (EIPC) significantly improves clinical outcomes for patients with advanced cancer. Telehealth may be a useful tool to deliver EIPC sustainably and equitably. Palliative care clinicians completed a survey regarding their perceptions of the barriers, facilitators, and benefits of using telehealth video visits for delivering EIPC for patients with advanced lung cancer. Forty-eight clinicians across 22 cancer centers completed the survey between May and July 2022. Most (91.7%) agreed that telehealth increases access to EIPC and simplifies the process for patients to receive EIPC (79.2%). Clinicians noted that the elderly, those in rural areas, and those with less-resourced backgrounds have greater difficulty using telehealth. Perceived barriers were largely patient-based factors, including technological literacy, internet and device availability, and patient preferences. Clinicians agreed that several organizational factors facilitated telehealth EIPC delivery, including technological infrastructure (85.4%), training (83.3%), and support from study coordinators (81.3%). Other barriers included systems-based factors, such as insurance reimbursement and out-of-state coverage restrictions. Patient-, organization-, and systems-based factors are all important to providing and improving access to telehealth EIPC services. Further research is needed to investigate the efficacy of telehealth EIPC and how policies and interventions may improve access to and dissemination of this care modality.

Study protocol for a randomized trial of a supportive care mobile application to improve symptoms, coping, and quality of life in patients with advanced non-small cell lung cancer.

Patients with advanced non-small cell lung cancer (NSCLC) often experience burdensome symptoms, emotional distress, and poor quality of life (QOL). While national guidelines recommend early palliative care to address these supportive care needs, most patients with advanced NSCLC lack access to such comprehensive care. Our aim in the current study is to test a novel model of palliative care delivery and use of innovative technology to evaluate the feasibility, acceptability, and preliminary efficacy of a supportive care mobile application (app) for improving symptom management and adaptive coping in patients with advanced NSCLC. We will enroll 120 patients with unresectable Stage III or IV NSCLC diagnosed within the past 12 weeks receiving care with palliative intent at a major academic comprehensive cancer center and its community affiliates. The study will take place in two phases, the first of which will be dedicated to adapting an evidence-based, early palliative care treatment guide and prior supportive care mobile app intervention to address the specific symptom management and coping needs of patients with advanced NSCLC. The second phase of the study will be a two-group, randomized controlled trial. Study patients will complete baseline self-report measures of symptoms, mood, coping skills, and QOL, after which they will be randomized to receive either the mobile app intervention combined with usual oncology care or usual oncology care alone. Intervention patients will use a tablet computer to self-administer the mobile app, which consists of six modules that teach evidence-based skills for managing burdensome symptoms and coping effectively with advanced cancer and its treatment. At 12 weeks follow up, patients in both groups will repeat the same self-report measures. We will use descriptive statistics to determine feasibility metrics of enrollment and retention rates. For secondary self-report measures, we will use linear regression controlling for baseline values. The results of the present study will contribute to a growing body of evidence regarding the supportive care needs of patients with advanced cancer and will have implications for how best to use innovative technology to widely disseminate comprehensive supportive care services to all patients who may benefit. Clinical Trial Registration: [www.ClinicalTrials.gov], identifier[NCT04629300].