Brown Dan, Barrera Adelaida, Ibañez Lucas, Budassi Iván, Murphy Bridie, Shrestha Pujen, Salomon-Ballada Sebastian, Kriscovich Jorge, Torrente Fernando
Behavioural Insights Team, London, UK.
ECOM Chaco S.A., Chaco, Argentina.
Nat Hum Behav. 2024 Dec;8(12):2314-2321. doi: 10.1038/s41562-024-01985-7. Epub 2024 Oct 18.
Maintaining COVID-19 vaccine demand was key to ending the global health emergency. To help do this, many governments used chatbots that provided personalized information guiding people on where, when and how to get vaccinated. We designed and tested a WhatsApp chatbot to understand whether two-way interactive messaging incorporating behaviourally informed functionalities could perform better than one-way message reminders. We ran a large-scale preregistered randomized controlled trial with 249,705 participants in Argentina, measuring vaccinations using Ministry of Health records. The behaviourally informed chatbot more than tripled COVID-19 vaccine uptake compared with the control group (a 1.6 percentage point increase (95% confidence interval, (1.36 pp, 1.77 pp)) and nearly doubled uptake compared with the one-way message reminder (a 1 percentage point increase (95% confidence interval, (0.83 pp, 1.17 pp)). Communications tools designed with behaviourally informed functionalities that simplify the vaccine user journey can increase vaccination more than traditional message reminders and may have applications to other health behaviours.
维持新冠疫苗需求是结束全球卫生紧急状况的关键。为助力达成这一目标,许多政府使用了聊天机器人,这些机器人提供个性化信息,指导人们在何处、何时以及如何接种疫苗。我们设计并测试了一款WhatsApp聊天机器人,以了解结合行为学信息功能的双向互动消息传递是否比单向消息提醒表现更优。我们在阿根廷对249,705名参与者进行了一项大规模的预注册随机对照试验,通过卫生部记录来衡量疫苗接种情况。与对照组相比,具备行为学信息的聊天机器人使新冠疫苗接种率增长了两倍多(增加了1.6个百分点(95%置信区间,(1.36个百分点,1.77个百分点)),与单向消息提醒相比,接种率几乎翻了一番(增加了1个百分点(95%置信区间,(0.83个百分点,1.17个百分点))。设计有简化疫苗接种者流程的行为学信息功能的通信工具,比传统消息提醒更能提高疫苗接种率,并且可能适用于其他健康行为。