Population subgroup differences in the use of a COVID-19 chatbot

COVID-19 chatbots are widely used to screen for symptoms and disseminate information about the virus, yet little is known about the population subgroups that interact with this technology and the specific features that are used. An analysis of 1,000,740 patients invited to use a COVID-19 chatbot, 69...

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Detalles Bibliográficos
Autores principales: Schubel, Laura C., Wesley, Deliya B., Booker, Ethan, Lock, John, Ratwani, Raj M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Brief Communication
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7895981/
https://www.ncbi.nlm.nih.gov/pubmed/33608660
http://dx.doi.org/10.1038/s41746-021-00405-8
Descripción
Sumario:COVID-19 chatbots are widely used to screen for symptoms and disseminate information about the virus, yet little is known about the population subgroups that interact with this technology and the specific features that are used. An analysis of 1,000,740 patients invited to use a COVID-19 chatbot, 69,451 (6.94%) of which agreed to participate, shows differences in chatbot feature use by gender, race, and age. These results can inform future public health COVID-19 symptom screening and information dissemination strategies.

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