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Practical Guidance for the Development of Rosie, a Health Education Question-and-Answer Chatbot for New Mothers

Communities of color experience higher maternal and infant mortality, as well as a host of other adverse outcomes, during pregnancy and postpartum. To address this, our team is developing a free, user-friendly, question-answering chatbot called Rosie. Chatbots have gained significant popularity due...

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Autores principales: Mane, Heran Y., Doig, Amara Channell, Gutierrez, Francia Ximena Marin, Jasczynski, Michelle, Yue, Xiaohe, Srikanth, Neha Pundlik, Mane, Sourabh, Sun, Abby, Moats, Rachel Ann, Patel, Pragat, He, Xin, Boyd-Graber, Jordan Lee, Aparicio, Elizabeth M., Nguyen, Quynh C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wolters Kluwer Health, Inc. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10372746/
https://www.ncbi.nlm.nih.gov/pubmed/37478093
http://dx.doi.org/10.1097/PHH.0000000000001781
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author Mane, Heran Y.
Doig, Amara Channell
Gutierrez, Francia Ximena Marin
Jasczynski, Michelle
Yue, Xiaohe
Srikanth, Neha Pundlik
Mane, Sourabh
Sun, Abby
Moats, Rachel Ann
Patel, Pragat
He, Xin
Boyd-Graber, Jordan Lee
Aparicio, Elizabeth M.
Nguyen, Quynh C.
author_facet Mane, Heran Y.
Doig, Amara Channell
Gutierrez, Francia Ximena Marin
Jasczynski, Michelle
Yue, Xiaohe
Srikanth, Neha Pundlik
Mane, Sourabh
Sun, Abby
Moats, Rachel Ann
Patel, Pragat
He, Xin
Boyd-Graber, Jordan Lee
Aparicio, Elizabeth M.
Nguyen, Quynh C.
author_sort Mane, Heran Y.
collection PubMed
description Communities of color experience higher maternal and infant mortality, as well as a host of other adverse outcomes, during pregnancy and postpartum. To address this, our team is developing a free, user-friendly, question-answering chatbot called Rosie. Chatbots have gained significant popularity due to their scalability and success in individualizing resources. In recent years, scientific communities and researchers have started recognizing this technology's potential to inform communities, promote health outcomes, and address health disparities. The development of Rosie is an interdisciplinary project, with teams focused on the technical build of the application (app), the development of machine learning models, and community outreach, making Rosie a chatbot built with the input from the communities it aims to serve. From June to October 2022, more than 20 demonstration sessions were conducted in Washington, District of Columbia, Maryland, and Virginia, where a total of 109 pregnant women and new mothers of color could interact with Rosie. Results from the live demonstrations showed that 75% of mothers searched for maternity and baby-related information at least once a week and more than 90% of participants expressed the likelihood to use the app. Most of the participants inquired about their baby's development, nutrition for babies, and identifying and addressing the causes of certain symptoms and conditions, accounting for about 80% of the total questions asked. Mother-related questions in the community demonstrations were mainly about pregnancy. The high level of interest in the chatbot is a clear indication of the need for more resources. Rosie aims to help close the racial gap in maternal and infant health disparities by providing new mothers with easy access to reliable health information.
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spelling pubmed-103727462023-07-29 Practical Guidance for the Development of Rosie, a Health Education Question-and-Answer Chatbot for New Mothers Mane, Heran Y. Doig, Amara Channell Gutierrez, Francia Ximena Marin Jasczynski, Michelle Yue, Xiaohe Srikanth, Neha Pundlik Mane, Sourabh Sun, Abby Moats, Rachel Ann Patel, Pragat He, Xin Boyd-Graber, Jordan Lee Aparicio, Elizabeth M. Nguyen, Quynh C. J Public Health Manag Pract Research Reports Communities of color experience higher maternal and infant mortality, as well as a host of other adverse outcomes, during pregnancy and postpartum. To address this, our team is developing a free, user-friendly, question-answering chatbot called Rosie. Chatbots have gained significant popularity due to their scalability and success in individualizing resources. In recent years, scientific communities and researchers have started recognizing this technology's potential to inform communities, promote health outcomes, and address health disparities. The development of Rosie is an interdisciplinary project, with teams focused on the technical build of the application (app), the development of machine learning models, and community outreach, making Rosie a chatbot built with the input from the communities it aims to serve. From June to October 2022, more than 20 demonstration sessions were conducted in Washington, District of Columbia, Maryland, and Virginia, where a total of 109 pregnant women and new mothers of color could interact with Rosie. Results from the live demonstrations showed that 75% of mothers searched for maternity and baby-related information at least once a week and more than 90% of participants expressed the likelihood to use the app. Most of the participants inquired about their baby's development, nutrition for babies, and identifying and addressing the causes of certain symptoms and conditions, accounting for about 80% of the total questions asked. Mother-related questions in the community demonstrations were mainly about pregnancy. The high level of interest in the chatbot is a clear indication of the need for more resources. Rosie aims to help close the racial gap in maternal and infant health disparities by providing new mothers with easy access to reliable health information. Wolters Kluwer Health, Inc. 2023-07-21 2023-09 /pmc/articles/PMC10372746/ /pubmed/37478093 http://dx.doi.org/10.1097/PHH.0000000000001781 Text en © 2023 The Authors. Published by Wolters Kluwer Health, Inc. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License 4.0 (https://creativecommons.org/licenses/by/4.0/) (CCBY), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Reports
Mane, Heran Y.
Doig, Amara Channell
Gutierrez, Francia Ximena Marin
Jasczynski, Michelle
Yue, Xiaohe
Srikanth, Neha Pundlik
Mane, Sourabh
Sun, Abby
Moats, Rachel Ann
Patel, Pragat
He, Xin
Boyd-Graber, Jordan Lee
Aparicio, Elizabeth M.
Nguyen, Quynh C.
Practical Guidance for the Development of Rosie, a Health Education Question-and-Answer Chatbot for New Mothers
title Practical Guidance for the Development of Rosie, a Health Education Question-and-Answer Chatbot for New Mothers
title_full Practical Guidance for the Development of Rosie, a Health Education Question-and-Answer Chatbot for New Mothers
title_fullStr Practical Guidance for the Development of Rosie, a Health Education Question-and-Answer Chatbot for New Mothers
title_full_unstemmed Practical Guidance for the Development of Rosie, a Health Education Question-and-Answer Chatbot for New Mothers
title_short Practical Guidance for the Development of Rosie, a Health Education Question-and-Answer Chatbot for New Mothers
title_sort practical guidance for the development of rosie, a health education question-and-answer chatbot for new mothers
topic Research Reports
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10372746/
https://www.ncbi.nlm.nih.gov/pubmed/37478093
http://dx.doi.org/10.1097/PHH.0000000000001781
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