PDF(Pubmed)
Abstract：
Vaccine hesitancy is one of the top ten threats to global health. Artificial intelligence-driven chatbots and motivational interviewing skills show promise in addressing vaccine hesitancy. This study aimed to develop and validate an artificial intelligence-driven motivational digital assistant in decreasing COVID-19 vaccine hesitancy among Hong Kong adults. The intervention development and validation were guided by the Medical Research Council\'s framework with four major steps: logic model development based on theory and qualitative interviews (n = 15), digital assistant development, expert evaluation (n = 5), and a pilot test (n = 12). The Vaccine Hesitancy Matrix model and qualitative findings guided the development of the intervention logic model and content with five web-based modules. An artificial intelligence-driven chatbot tailored to each module was embedded in the website to motivate vaccination intention using motivational interviewing skills. The content validity index from expert evaluation was 0.85. The pilot test showed significant improvements in vaccine-related health literacy (p = 0.021) and vaccine confidence (p = 0.027). This digital assistant is effective in improving COVID-19 vaccine literacy and confidence through valid educational content and motivational conversations. The intervention is ready for testing in a randomized controlled trial and has high potential to be a useful toolkit for addressing ambivalence and facilitating informed decision making regarding vaccination.
摘要：
疫苗犹豫是全球健康面临的十大威胁之一。人工智能驱动的聊天机器人和励志面试技巧在解决疫苗犹豫方面显示出希望。这项研究旨在开发和验证一种人工智能驱动的动机数字助理，以减少香港成年人对COVID-19疫苗的犹豫。干预开发和验证由医学研究理事会的框架指导，包括四个主要步骤：基于理论的逻辑模型开发和定性访谈（n=15），数字助理开发,专家评估(n=5)，和试点测试（n=12）。疫苗犹豫矩阵模型和定性发现指导了五个基于Web的模块的干预逻辑模型和内容的开发。网站中嵌入了针对每个模块量身定制的人工智能驱动的聊天机器人，以使用动机面试技巧来激发疫苗接种意图。专家评价的内容效度指数为0.85。试点测试表明，与疫苗相关的健康素养（p=0.021）和疫苗信心（p=0.027）显着提高。这个数字助理通过有效的教育内容和励志对话有效地提高了COVID-19疫苗的素养和信心。该干预措施已准备好在随机对照试验中进行测试，并且很有可能成为解决矛盾心理和促进有关疫苗接种的知情决策的有用工具包。
