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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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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:
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
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author Schubel, Laura C.
Wesley, Deliya B.
Booker, Ethan
Lock, John
Ratwani, Raj M.
author_facet Schubel, Laura C.
Wesley, Deliya B.
Booker, Ethan
Lock, John
Ratwani, Raj M.
author_sort Schubel, Laura C.
collection PubMed
description 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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spelling pubmed-78959812021-03-03 Population subgroup differences in the use of a COVID-19 chatbot Schubel, Laura C. Wesley, Deliya B. Booker, Ethan Lock, John Ratwani, Raj M. NPJ Digit Med Brief Communication 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. Nature Publishing Group UK 2021-02-19 /pmc/articles/PMC7895981/ /pubmed/33608660 http://dx.doi.org/10.1038/s41746-021-00405-8 Text en © The Author(s) 2021 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Brief Communication
Schubel, Laura C.
Wesley, Deliya B.
Booker, Ethan
Lock, John
Ratwani, Raj M.
Population subgroup differences in the use of a COVID-19 chatbot
title Population subgroup differences in the use of a COVID-19 chatbot
title_full Population subgroup differences in the use of a COVID-19 chatbot
title_fullStr Population subgroup differences in the use of a COVID-19 chatbot
title_full_unstemmed Population subgroup differences in the use of a COVID-19 chatbot
title_short Population subgroup differences in the use of a COVID-19 chatbot
title_sort population subgroup differences in the use of a covid-19 chatbot
topic Brief Communication
url 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
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