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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...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
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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. |
format | Online Article Text |
id | pubmed-7895981 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
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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