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

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

Abstract 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 ch...

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Bibliographic Details
Main Authors: Laura C. Schubel, Deliya B. Wesley, Ethan Booker, John Lock, Raj M. Ratwani
Format: Article
Language:English
Published: Nature Publishing Group 2021-02-01
Series:npj Digital Medicine
Online Access:https://doi.org/10.1038/s41746-021-00405-8
Description
Summary:Abstract 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.
ISSN:2398-6352

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