一个混合聊天机器人来促进老年人肺炎球菌疫苗接种:一个随机临床试验
Zixin Wang1, Siyu Chen1, Josiah Poon2
1Centre for Health Behaviours Research, JC School of Public Health and Primary Care, the Chinese University of Hong Kong, Hong Kong SAR, China.
JAMA network open
|October 8, 2025
概括
与标准干预相比,混合聊天机器人在香港的老年人中显著增加了肺炎球菌疫苗接种率. 这项技术在老年人群中显示出可持续的公共卫生促进的前景.
科学领域:
- 公共卫生 公共卫生
- 数字健康干预措施 数字健康干预措施
- 疫苗学 疫苗学 疫苗学
背景情况:
- 在65岁及以上的成年人中,肺炎球菌疫苗 (PV) 接种率仍然低于最佳水平.
- 需要对聊天机器人等数字工具进行强有力的评估,以提高这一群体的疫苗接种率.
- 现有的干预措施往往缺乏个性化参与,限制了它们的有效性.
研究的目的:
- 评估一项旨在增加65岁及以上香港居民光伏采用率的混合聊天机器人干预措施的比较有效性.
- 评估一种新的方法,利用针对变化阶段的定制消息和自然语言处理来促进疫苗接种.
主要方法:
- 从2023年5月到2024年11月在香港进行的一项部分掩盖的平行组随机临床试验.
- 参与者 (N=374,年龄≥65) 被随机分配,接受适合变化阶段的混合聊天机器人干预或标准的在线视频干预.
- 混合聊天机器人根据参与者对光伏的准备提供了个性化的消息,并实时回答了查询;标准组获得了通用信息视频的链接.
主要成果:
- 在12个月后,验证的光伏吸收率在聊天机器人转换阶段组 (29.4%) 与标准干预组 (18.7%) (P=.01) 相比,显着更高.
- 变化阶段组的参与者也显示了更高的平均变化阶段得分 (2.2对1.9;P=.02) 和更大的参与干预会议 (79.7%对57.8%;P<.001).
- 混合聊天机器人在促进老年人接种疫苗和参与活动方面表现出卓越的有效性.
结论:
- 根据参与者的变化阶段量身定制的混合聊天机器人干预比标准的在线信息传递更有效,以增加老年人肺炎球菌疫苗接种率.
- 这种数字健康方法为针对老年人群接种疫苗的公共卫生倡议提供了一个潜在的可持续和可扩展的战略.
- 这些发现支持将个性化聊天机器人技术集成到公共卫生活动中,以提高疫苗的遵守率.
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