Barreto Ivana Cristina de Holanda Cunha, Barros Nardelli Brenda Soares, Theophilo Rebecca Lucena, Viana Vielceketlin Franco, Silveira Francisca Raquel de Vasconcelos, Souza Osvaldo de, Sousa Fábio José Gomes de, Oliveira Antônio Mauro Barbosa de, Andrade Luiz Odorico Monteiro de
Fundação Oswaldo Cruz Ceará (Fiocruz Ceará). R. São José s/n, Precabura. 61760-000 Eusébio CE Brasil.
Programa de Pós-Graduação em Saúde Pública, Universidade Federal do Ceará (UFC). Fortaleza CE Brasil.
Cien Saude Colet. 2021 May;26(5):1679-1690. doi: 10.1590/1413-81232021265.04072021.
This study aimed to develop a prototype of the GISSA Mother-Baby ChatBot Application (GCBMB), a conversational agent to promote child health and evaluate the experience of use and satisfaction with this technological solution. This is a two-stage cross-sectional research with a mixed methodology. The first stage develops the settings of dialogue and the GCBMB prototype. The second stage evaluates the experience of using the ChatBot through a structured questionnaire where statements are used to assess the respondent's level of agreement using the Likert Scale and analyzes the application's use path through its database. The sample consisted of 142 puerperae, with a mean age of 25.4 years, where 38.1% were primiparous. The level of agreement of women with simplicity, good quality of information, clarity of content, usefulness, and satisfaction with the application was above 90%. Women between 26 and 30 years of age had a higher mean number of hits (5.21), settings accessed (9.26), and usage time (272 seconds) comparing younger and older women. The use of ChatBots on smartphones is encouraging to promote the health of children in Brazil. However, more investments are required to improve technological solutions and research with robust methodologies to evaluate their effectiveness.
本研究旨在开发全球婴儿安全与健康倡议母婴聊天机器人应用程序(GCBMB)的原型,这是一种用于促进儿童健康的对话代理,并评估对该技术解决方案的使用体验和满意度。这是一项采用混合方法的两阶段横断面研究。第一阶段开发对话设置和GCBMB原型。第二阶段通过结构化问卷评估使用聊天机器人的体验,问卷中的陈述用于使用李克特量表评估受访者的同意程度,并通过其数据库分析应用程序的使用路径。样本包括142名产妇,平均年龄为25.4岁,其中38.1%为初产妇。女性对该应用程序的简单性、信息质量、内容清晰度、有用性和满意度的同意程度高于90%。与年轻和年长女性相比,26至30岁的女性平均点击次数(5.21)、访问设置(9.26)和使用时间(272秒)更高。在巴西,使用智能手机上的聊天机器人来促进儿童健康是令人鼓舞的。然而,需要更多投资来改进技术解决方案,并采用强大的方法进行研究以评估其有效性。