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使用响应反方法开发和试点一个咨询聊天机器人,以加强印度农村儿童营养
Namrata Tomar1, Sriya Srikrishnan2, Neal Lesh3
1Dimagi India, New Delhi, India. ntomar@dimagi.com.
Global health, science and practice
|December 5, 2023
概括
一个叫Poshan Didi的聊天机器人被开发出来,为印度的母亲提供营养咨询. 试点研究显示了高用户参与度和接受度,表明了改善儿童营养结果的潜力.
科学领域:
- 数字健康干预措施 数字健康干预措施
- 公共卫生 公共卫生
- 儿童营养 儿童营养
背景情况:
- 营养不良导致印度5岁以下儿童近一半的死亡.
- 通过多个道提供护理人员支持,可以改善儿童营养.
- 数字工具为营养教育提供了一个可扩展的解决方案.
研究的目的:
- 开发和试验一个聊天机器人Poshan Didi,以改善印度儿童营养结果.
- 评估聊天机器人的可接受性,可行性和参与度在0-12个月龄的儿童的母亲中.
主要方法:
- 利益相关者参与和变革发展理论.
- 聊天机器人 (Poshan Didi) 创建用于营养方面的个人咨询.
- 在印度卡特尼地区进行两阶段试点研究 (n=10,然后n=100名母亲),收集定量和质量数据.
主要成果:
- 母亲们认为聊天机器人是一种私人,知识丰富的资源.
- 80%的用户回应了聊天机器人消息.
- 64%的参与者超出了自动化内容,寻求护士支持以解决升级问题.
结论:
- 聊天机器人可以通过创建交互接触点来增加护理人员获得营养咨询的机会.
- 聊天机器人设计中的响应反提高了数字健康工具的有效性.
- 波珊迪迪展示了一种有希望的方法,通过可访问的数字信息来改善儿童营养.
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