Assessment of Oncology Patient Engagement and Interest in Virtual Mind-Body Programming: Moving Toward Personalization of Virtual Care

Abstract

PURPOSE: Accelerated by the COVID-19 pandemic, the virtual platform has become a prominent medium to deliver mind-body therapies, but the extent to which patients engage in virtual mind-body programming remains unclear. This study aims to assess oncology patient engagement in a virtual mind-body program. METHODS: We surveyed oncology patients enrolled in a live-streamed (synchronous) virtual mind-body program in May 2021. Patients self-reported engagement by weekly attendance. We applied multivariate regression to identify associations of engagement with sociodemographic and clinical factors. As an exploratory analysis, we used machine learning to partition engagement subgroups to determine preferential interest in prerecorded (asynchronous) mind-body therapy videos. RESULTS: Among 148 patients surveyed (response rate: 21.4%), majority were female (94.5%), White (83.1%), age 65 years or older (64.9%), retired (64.2%), and in survivorship (61.8%). Patient engagement ranged from 1 to 13 classes/week (mean [standard deviation]: 4.23 [2.56]) and was higher for female (β, .82; 95% CI, 0.01 to 1.62), non-White (β, .63; 95% CI, 0.13 to 1.13), and retired patients (β, .50; 95% CI, 0.12 to 0.88). The partition model identified three engagement subgroups: employed (low engagers), retired White (intermediate engagers), and retired non-White (high engagers). Particularly, low engagers had preferential interest in meditation videos (odds ratio, 2.85; 95% CI, 1.24 to 6.54), and both low and high engagers had preferential interest in Tai Chi videos (odds ratio, 2.26; 95% CI, 1.06 to 4.82). CONCLUSION: In this cross-sectional study among oncology patients, engagement in virtual mind-body programming was higher for female, non-White, and retired patients. Our findings suggest the need for both synchronous and asynchronous mind-body programming to meet the diverse needs of oncology patients.