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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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
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spelling doaj-8888afdf17b949e99bbb7bb7fde4f83f2021-02-21T12:41:59ZengNature Publishing Groupnpj Digital Medicine2398-63522021-02-01411310.1038/s41746-021-00405-8Population subgroup differences in the use of a COVID-19 chatbotLaura C. Schubel0Deliya B. Wesley1Ethan Booker2John Lock3Raj M. Ratwani4MedStar Health National Center for Human Factors in HealthcareMedStar Health Research InstituteMedStar Telehealth Innovation CenterMedStar HealthMedStar Health National Center for Human Factors in HealthcareAbstract 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.https://doi.org/10.1038/s41746-021-00405-8
collection DOAJ
language English
format Article
sources DOAJ
author Laura C. Schubel
Deliya B. Wesley
Ethan Booker
John Lock
Raj M. Ratwani
spellingShingle Laura C. Schubel
Deliya B. Wesley
Ethan Booker
John Lock
Raj M. Ratwani
Population subgroup differences in the use of a COVID-19 chatbot
npj Digital Medicine
author_facet Laura C. Schubel
Deliya B. Wesley
Ethan Booker
John Lock
Raj M. Ratwani
author_sort Laura C. Schubel
title 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_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_sort population subgroup differences in the use of a covid-19 chatbot
publisher Nature Publishing Group
series npj Digital Medicine
issn 2398-6352
publishDate 2021-02-01
description 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.
url https://doi.org/10.1038/s41746-021-00405-8
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AT rajmratwani populationsubgroupdifferencesintheuseofacovid19chatbot
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