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Telemedicine for Acute Conditions During COVID-19: A Nationwide Survey Using Crowdsourcing
Yi-Chin Kato-Lin1, Shawn T Thelen2
1Department of Information Systems and Business Analytics, Hofstra University, Hempstead, New York, USA.
Abstract:
COVID-19 has resulted in a rapid and significant adoption of telemedicine for acute conditions. Understanding whether patient demand will last after the pandemic helps providers and payers make informed decisions about whether to continue adopting telemedicine. We examine user experience as well as process and patient outcomes of using telemedicine for acute conditions during COVID-19 and assess how patient outcomes are affected by waiting times and demographics. A survey was conducted via Amazon Mechanical Turk during June 17-29, 2020. Inclusion criteria were: (1) ≥18 years old, (2) residing in the United States, (3) used telemedicine for acute conditions after January, and 4) a human intelligence task approval rate of >95%. Process outcomes included patient waiting time with patient outcomes being satisfaction and future use intention. Bivariate analysis and regressions of the data were performed. On average, respondents reported appointment wait time of 2.76 days and virtual office wait time of 19.44 min. Overall, respondents reported moderate satisfaction (mean 5.08-5.35 of 7) and future use intention (mean 5.10-5.32 of 7). Over 72% of the respondents were satisfied and had future use intention. Females, heavier internet users, and those on the higher/lower ends of the education spectrum reported better patient outcomes. Patients "visiting" a doctor experiencing eye problems, vis-à-vis other ailments, reported lower satisfaction and intention. Waiting time negatively associates with satisfaction. Given the satisfactory outcomes, the high demand for telemedicine may continue after the COVID-19 pandemic. However, whether providers will continue to offer telemedicine visits may require more evidence.
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