Disparities in Telemedicine Literacy and Access in the United States

Abstract

Background: Because of the expansion of telehealth services through the 2020 Coronavirus Aid, Relief, and Economic Security (CARES) Act, the potential of telemedicine in plastic surgery has gained visibility. This study aims to identify populations who may have limited access to telemedicine. Methods: The authors created a telemedicine literacy index (TLI) using a multivariate regression model and data from the US Census and Pew Research Institute survey. A multivariate regression model was created using backwards elimination, with TLI as the dependent variable and demographics as independent variables. The resulting regression coefficients were applied to data from the 2018 US Census at the county level to create a county-specific technological literacy index (cTLI). Significance was set at P < 0.05. Results: On multivariable analysis, the following factors were found to be significantly associated with telemedicine literacy: age, sex, race, employment status, income level, marital status, educational attainment, and urban or rural classification. Counties in the lowest tertile had significantly lower median annual income levels ($43,613 versus $60,418; P < 0.001) and lower proportion of the population with at least a bachelor’s degree (16.7% versus 26%; P < 0.001). Rural areas were approximately three times more likely to be in the lowest cTLI compared with urban areas (P < 0.001). Additional associations with low cTLI were Black race (P = 0.045), widowed marital status (P < 0.001), less than high school education (P = 0.005), and presence of a disability (P = 0.01). Conclusions: These results highlight disadvantaged groups at risk of being underserved with telehealth. Using these findings, key stakeholders may be able to target these communities for interventions to increase telemedicine literacy and access.