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Background: Mindfulness-based interventions (MBIs) are supported by clinical practice guidelines as effective non-pharmacologic interventions for common symptoms experienced by cancer patients, including anxiety, depression, and fatigue. However, the evidence predominately derives from White breast cancer survivors. Racial and ethnic minority patients have less access to integrative oncology care and worse cancer outcomes. To address these gaps, we designed and piloted a series of mindfulness-based group medical visits (MB-GMVs), embedded into comprehensive cancer care, for racially and ethnically diverse patients in cancer treatment. Methods: As a quality improvement project, we launched a telehealth MB-GMV series for patients undergoing cancer treatment, delivered as four weekly 2-hour visits billable to insurance. Content was concordant with evidence-based guidelines and established MBIs and adapted to improve cultural relevance and fit (eg, access-centered, trauma-informed, with inclusive communication practices). Program structure was adapted to address barriers to participation, with ≥50% slots per series reserved for racial and ethnic minority patients. Intake surveys incorporated a demographic questionnaire and symptom assessments. Evaluations were sent following the visits. Results: In our first ten cohorts (n = 78), 80% of referred patients enrolled. Participants were: 22% Asian, 14% Black, 17% Latino, 45% non-Latino White; 65% female; with a median age of 54 years (range 27-79); and 80% had metastatic cancer. Common baseline symptoms included lack of energy, difficulty sleeping, and worrying. Most patients (90%) attended ≥3 visits. On final evaluations, 87% patients rated the series as "excellent"; 81% "strongly agreed" that they liked the GMV format; and 92% would "definitely" recommend the series to others. Qualitative themes included empowerment and connectedness. Conclusion: Telehealth GMVs are a feasible, acceptable, and financially sustainable model for increasing access to MBIs. Diverse patients in active cancer treatment were able to participate and reported high levels of satisfaction with this series that was tailored to center health equity and inclusion.
RESUMO
Objectives: This article describes the implementation of a group medical visit (GMV) model to increase access to integrative oncology (IO) care. The most challenging and critical time to access high-quality IO care is while patients are receiving conventional cancer therapy. Often demand for individual IO clinic consultations precludes this from occurring. A three-session GMV program was designed to alleviate barriers to receiving integrative care during active cancer treatment. Design: A consolidated framework was used for implementation research and focused ethnography methods to describe the IO GMV implementation process. Data sources included patient evaluations, participant observation, and brief provider and patient interviews. Setting: A pilot program was created to assess the feasibility and acceptability of implementing IO GMVs at a comprehensive cancer center. Intervention: Each three-session GMV consisted of a didactic session, followed by individual visits with the integrative oncologist. Results: The setting, intervention, and implementation process of the IO GMV program were described. Thirty-two patients participated in the first five cohorts of the program. Twenty-two were women; 24 were White. The median age of participants was 52. Patient evaluations demonstrate high levels of satisfaction with the program with all scored aspects rated >4.0 on a five-point Likert scale. For the medical center, group visits are a financially viable alternative to individual IO visits; revenue from group visits exceeded the revenue potential of 6 h of individual visits by an average of 38%. Conclusion: GMVs are a feasible and promising model for increasing access to IO. Patients in active cancer treatment were able to participate in the program. Future research and implementation efforts could examine health outcomes over time after participation in GMVs, as well as the feasibility of using this model with more diverse patient populations.
