Eliza Sella Battisti , Mateus Klein Roman , Ericles Andrei Bellei , Vanessa Ramos Kirsten , Ana Carolina Bertoletti De Marchi , Greisse Viero Da Silva Leal
{"title":"基层医疗机构食品与营养监测系统的虚拟助手：巴西的开发和验证研究","authors":"Eliza Sella Battisti , Mateus Klein Roman , Ericles Andrei Bellei , Vanessa Ramos Kirsten , Ana Carolina Bertoletti De Marchi , Greisse Viero Da Silva Leal","doi":"10.1016/j.pec.2024.108461","DOIUrl":null,"url":null,"abstract":"<div><h3>Objective</h3><div>The study aimed to develop and validate a conversational agent (chatbot) designed to support Food and Nutrition Surveillance (FNS) practices in primary health care settings.</div></div><div><h3>Methods</h3><div>This mixed-methods research was conducted in three stages. Initially, the study identified barriers and challenges in FNS practices through a literature review and feedback from 655 health professionals and FNS experts across Brazil. Following this, a participatory design approach was employed to develop and validate the chatbot's content. The final stage involved evaluating the chatbot's user experience with FNS experts.</div></div><div><h3>Results</h3><div>The chatbot could accurately understand and respond to 60 different intents or keywords related to FNS. Themes such as training, guidance, and access emerged as crucial for guiding FNS initiatives and addressing implementation challenges, primarily related to human resources. The chatbot achieved a Global Content Validation Index of 0.88.</div></div><div><h3>Conclusion</h3><div>The developed chatbot represents a significant advancement in supporting FNS practices within primary health care.</div></div><div><h3>Practice implication</h3><div>By providing an innovative, interactive, educational tool that is both accessible and reliable, this digital assistant has the potential to facilitate the operationalization of FNS practices, addressing the critical need for effective training and counseling in developing countries.</div></div>","PeriodicalId":49714,"journal":{"name":"Patient Education and Counseling","volume":"130 ","pages":"Article 108461"},"PeriodicalIF":2.9000,"publicationDate":"2024-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A virtual assistant for primary care's food and nutrition surveillance system: Development and validation study in Brazil\",\"authors\":\"Eliza Sella Battisti , Mateus Klein Roman , Ericles Andrei Bellei , Vanessa Ramos Kirsten , Ana Carolina Bertoletti De Marchi , Greisse Viero Da Silva Leal\",\"doi\":\"10.1016/j.pec.2024.108461\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Objective</h3><div>The study aimed to develop and validate a conversational agent (chatbot) designed to support Food and Nutrition Surveillance (FNS) practices in primary health care settings.</div></div><div><h3>Methods</h3><div>This mixed-methods research was conducted in three stages. Initially, the study identified barriers and challenges in FNS practices through a literature review and feedback from 655 health professionals and FNS experts across Brazil. Following this, a participatory design approach was employed to develop and validate the chatbot's content. The final stage involved evaluating the chatbot's user experience with FNS experts.</div></div><div><h3>Results</h3><div>The chatbot could accurately understand and respond to 60 different intents or keywords related to FNS. Themes such as training, guidance, and access emerged as crucial for guiding FNS initiatives and addressing implementation challenges, primarily related to human resources. The chatbot achieved a Global Content Validation Index of 0.88.</div></div><div><h3>Conclusion</h3><div>The developed chatbot represents a significant advancement in supporting FNS practices within primary health care.</div></div><div><h3>Practice implication</h3><div>By providing an innovative, interactive, educational tool that is both accessible and reliable, this digital assistant has the potential to facilitate the operationalization of FNS practices, addressing the critical need for effective training and counseling in developing countries.</div></div>\",\"PeriodicalId\":49714,\"journal\":{\"name\":\"Patient Education and Counseling\",\"volume\":\"130 \",\"pages\":\"Article 108461\"},\"PeriodicalIF\":2.9000,\"publicationDate\":\"2024-10-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Patient Education and Counseling\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0738399124003288\",\"RegionNum\":2,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Patient Education and Counseling","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0738399124003288","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH","Score":null,"Total":0}
A virtual assistant for primary care's food and nutrition surveillance system: Development and validation study in Brazil
Objective
The study aimed to develop and validate a conversational agent (chatbot) designed to support Food and Nutrition Surveillance (FNS) practices in primary health care settings.
Methods
This mixed-methods research was conducted in three stages. Initially, the study identified barriers and challenges in FNS practices through a literature review and feedback from 655 health professionals and FNS experts across Brazil. Following this, a participatory design approach was employed to develop and validate the chatbot's content. The final stage involved evaluating the chatbot's user experience with FNS experts.
Results
The chatbot could accurately understand and respond to 60 different intents or keywords related to FNS. Themes such as training, guidance, and access emerged as crucial for guiding FNS initiatives and addressing implementation challenges, primarily related to human resources. The chatbot achieved a Global Content Validation Index of 0.88.
Conclusion
The developed chatbot represents a significant advancement in supporting FNS practices within primary health care.
Practice implication
By providing an innovative, interactive, educational tool that is both accessible and reliable, this digital assistant has the potential to facilitate the operationalization of FNS practices, addressing the critical need for effective training and counseling in developing countries.
期刊介绍：
Patient Education and Counseling is an interdisciplinary, international journal for patient education and health promotion researchers, managers and clinicians. The journal seeks to explore and elucidate the educational, counseling and communication models in health care. Its aim is to provide a forum for fundamental as well as applied research, and to promote the study of organizational issues involved with the delivery of patient education, counseling, health promotion services and training models in improving communication between providers and patients.
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