印度阿萨姆州的孕产妇健康旅程的基于聊天的决策支持系统:混合方法多阶段实施研究协议
Ashita Munjral1, Swapnil Rawat2, Charlotte E Warren3
1Maternal Health, Population Council Consultancy, New Delhi, Delhi, India.
JMIR research protocols
|February 13, 2026
概括
电子SAATHI聊天机器人通过提供个性化的支持,改善孕产妇健康 (MH),增加产前护理 (ANC) 和产后护理 (PNC) 服务在印度阿萨姆州的采用. 这个数字工具增强了服务不足地区的健康寻求行为和结果.
科学领域:
- 数字健康干预措施 数字健康干预措施
- 孕产妇健康 孕产妇健康
- 公共卫生 公共卫生
背景情况:
- 印度的阿萨姆州面临着全国最高的孕产妇死亡率,主要是由于获得和质量有限的孕产妇健康 (MH) 护理.
- 不足够的产前 (ANC) 和产后 (PNC) 服务被社会经济障碍和医疗保健基础设施的薄弱所加剧.
- 数字工具,如移动通讯和聊天机器人,已经在改善类似环境中的孕产妇护理方面取得了成功.
研究的目的:
- 评估e-SAATHI聊天机器人的可接受性,可行性和有效性,以提高MH信息获取和服务采用.
- 增加ANC/PNC的利用率,促进尊重护理,并为扩展数字健康解决方案收集见解.
- 提高产妇和新生儿护理质量评分和服务采用指标.
主要方法:
- 一个分阶段的方法,包括共同设计,试点测试,并大规模招募孕妇和产后妇女.
- 聊天机器人部署,每周提供个性化,特定阶段的MH信息,从怀孕早期到产后.
- 培训医疗保健提供者进行安装和反,并通过采访,调查,设施评估和聊天机器人分析收集数据.
主要成果:
- 截至2025年8月,已有210个安装设施和201,813名妇女入学,数据收集正在进行中.
- 该研究将比较干预前和干预后的服务采用量化数据和用户体验的定性数据.
- 主要结果:母亲和新生儿护理综合质量评分的变化;次要结果:服务采用,知识,自我护理和满意度.
结论:
- 电子SAATHI聊天机器人提供了一个可扩展的数字战略,以在不同的社会人口和语言环境中增强孕产妇健康.
- 通过聊天机器人提供个性化的及时支持,可以改善阿萨姆邦和全球的健康寻求行为和结果.
- 该项目为优化低资源地区数字健康战略提供了有价值的见解.
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