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Practical Guidance for the Development of Rosie, a Health Education Question-and-Answer Chatbot for New Mothers.
Mane, Heran Y; Channell Doig, Amara; Marin Gutierrez, Francia Ximena; 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.
Afiliación
  • Mane HY; Department of Epidemiology and Biostatistics (Mss H. Y. Mane, Yue, and Moats Drs He and Nguyen), Department of Behavioral and Community Health (Drs Doig, Jasczynski, and Aparicio and Ms Gutierrez), and Public Health Science Program (Ms Sun), University of Maryland School of Public Health, College Park, Maryland; Department of Computer Science, UMIACS (Ms Srikanth and Dr Boyd-Graber), College of Information Studies (Mr S. Mane), and Department of Biology (Mr Patel), University of Maryland, Colleg
J Public Health Manag Pract ; 29(5): 663-670, 2023.
Article en En | MEDLINE | ID: mdl-37478093
ABSTRACT
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.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Contexto en salud: 1_ASSA2030 / 2_ODS3 / 7_ODS3_muertes_prevenibles_nacidos_ninos Problema de salud: 1_desigualdade_iniquidade / 2_mortalidade_materna / 2_muertes_prevenibles / 7_environmental_health Asunto principal: Promoción de la Salud / Madres Tipo de estudio: Guideline Aspecto: Equity_inequality Límite: Female / Humans / Infant / Pregnancy País/Región como asunto: America do norte Idioma: En Revista: J Public Health Manag Pract Asunto de la revista: SAUDE PUBLICA / SERVICOS DE SAUDE Año: 2023 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Contexto en salud: 1_ASSA2030 / 2_ODS3 / 7_ODS3_muertes_prevenibles_nacidos_ninos Problema de salud: 1_desigualdade_iniquidade / 2_mortalidade_materna / 2_muertes_prevenibles / 7_environmental_health Asunto principal: Promoción de la Salud / Madres Tipo de estudio: Guideline Aspecto: Equity_inequality Límite: Female / Humans / Infant / Pregnancy País/Región como asunto: America do norte Idioma: En Revista: J Public Health Manag Pract Asunto de la revista: SAUDE PUBLICA / SERVICOS DE SAUDE Año: 2023 Tipo del documento: Article
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