HNSE-O2-7. Factors Associated With Telemedicine Usage And Acceptance Pre- and Since COVID-19
Faculty Mentor: Melva Thompson-Robinson, DrPH2
1College of Sciences, School of Life Sciences
2School of Public Health, Department of Environmental and Occupational Health
The COVID-19 pandemic has acted as a catalyst for telemedicine uptake among both healthcare providers and patients. Prior research rarely has examined the lack of patient uptake of telemedicine. Known systemic barriers to accessing telemedicine in the U.S. before the COVID-19 pandemic may play a large role in its uptake. The purpose of this study is to assess the factors associated with the usage and acceptance of telemedicine pre- and since the COVID-19 pandemic. In this cross-sectional study, data was collected from persons residing within the U.S. who are 18 years of age or older using an online survey. Using an integrated model of the Theory of Planned Behavior and Technology Acceptance Model, this study measured barriers to accessing telemedicine before and since the COVID-19 pandemic as well as the six constructs of the model. Descriptive statistics and logistic regression were calculated. In the model examining predictors of telemedicine use before COVID-19 (p<0.001), racial/ethnic identity (p<0.05) was the statistically significant predictor. In the model examining predictors of telemedicine use since COVID-19 (p<0.001), devices used to access telemedicine since COVID-19 (p<0.05) was the statistically significant predictor. Gender identity, employment status, healthcare status and selected constructs of the integrated model were among the variables not statistically significant in either regression model. These findings contribute to the existing literature regarding barriers to telemedicine uptake among patients in the U.S. Future studies should focus on making the survey more accessible to non-English speakers and communities with limited Internet access.
Dr. Melva Thompson-Robinson | School of Public Health