Abstract

The objective of this study was to test for patient characteristics associated with virtual versus office visits among radiation oncology patients. Using the electronic health record, we extracted encounter data and corresponding patient information for the 6 months before and 6 months of COVID-19-enabled virtual visits (October 1, 2019, to March 22, 2020 vs March 23, 2020, to September 1, 2020) at a National Cancer Institute-Designated Cancer Center. Encounters during COVID-19 were categorized as in-person or virtual visits. We compared patient demographic variables including race, age, sex, marital status, preferred language, insurance status, and tumor type during the pre-COVID-19 period as a baseline versus during the COVID-19 period. Multivariable analyses examined associations between these variables and virtual visit use. We analyzed 4974 total encounters (2287 before COVID-19 and 2687 during COVID-19) for 3960 unique patients. All (100%) pre-COVID-19 encounters were in-person. During COVID-19, 21% of encounters were via virtual visits. There were no differences identified in pre- versus during-COVID-19 patient characteristics. However, we found significant differences in patient characteristics for in-person versus virtual encounters during COVID-19. On multivariable analysis, virtual visit use was less common among patients who were Black versus White (odds ratio [OR], 0.75; 95% CI, 0.57-0.99; P=.044) and not married versus married (OR, 0.76; 95% CI, 0.59-0.98; P=.037). Patients with head and neck (OR, 0.63; 95% CI, 0.41-0.97; P=.034), breast (OR, 0.36; 95% CI, 0.21-0.62; P ≤ .001), gastrointestinal/abdominal (OR, 0.31; 95% CI, 0.15-0.63; P=.001), or hematologic malignancy (OR, 0.20; 95% CI, 0.04-0.95; P=.043) diagnoses were less likely to be scheduled for virtual visits relative to patients with genitourinary malignancy. No Spanish-speaking patients engaged in a virtual visit. We did not identify differences in the insurance status or sex of patients scheduled for virtual visits. We found significant differences in virtual visit use by patient sociodemographic and clinical characteristics. Further investigation into implications of differential virtual visit use including social and structural determinants and subsequent clinical outcomes is indicated.

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