Factors Influencing Patient Preferences for Telehealth Cancer Genetic Counseling During the COVID-19 Pandemic

PURPOSE: With onset of the COVID-19 pandemic, telehealth became the primary modality for health care appointments. This study examined patient experiences with and preferences for telehealth at a cancer genetic counseling clinic throughout the first 6 months of the pandemic (March-August 2020). METHODS: An anonymous survey assessed patient demographics; usage and prior experience with technology; emotional responses, technical experiences, and satisfaction with the telehealth appointment (via the Genetic Counseling Satisfaction Scale and Visit-Specific Satisfaction Questionnaire); preference for future telehealth; and recommendation of telehealth to others. RESULTS: Among 380 respondents, most were highly satisfied with the telehealth appointment (with 65.6% and 66.4% of participants completing the Genetic Counseling Satisfaction Scale and Visit-Specific Satisfaction Questionnaire, respectively). Multivariable analyses indicated several notable findings. Adjusting for relevant covariates, participants with less education felt significantly more concerned about telehealth than those with highest educational attainment. Participants age 40-69 years were generally more comfortable, relieved, and grateful that their appointment was scheduled as telehealth than were those older than 70 years. Women were marginally more relieved and grateful for telehealth appointments than men. As the pandemic progressed, significantly more participants were highly satisfied with their telehealth appointment and participants trended toward having greater preferences for future telehealth use. Most participants (78.6%) would recommend telehealth to others, although 50.8% preferred future in-person appointments. CONCLUSION: As the pandemic progressed, patients expressed increasing preferences for and satisfaction with telehealth. Service delivery models that incorporate individual patient preferences should be developed with special consideration to factors such as age, sex, and education level.