Ford Kelsey Lynett, West Ashley B, Bucher Amy, Osborn Chandra Y
Lirio LLC, Franklin, TN, United States.
Front Digit Health. 2022 Apr 15;4:831093. doi: 10.3389/fdgth.2022.831093. eCollection 2022.
The COVID-19 pandemic exacerbated pre-existing health disparities. People of historically underserved communities, including racial and ethnic minority groups and people with lower incomes and educational attainments, experienced disproportionate premature mortality, access to healthcare, and vaccination acceptance and adoption. At the same time, the pandemic increased reliance on digital devices, offering a unique opportunity to leverage digital communication channels to address health inequities, particularly related to COVID-19 vaccination. We offer a real-world, systematic approach to designing personalized behavior change email and text messaging interventions that address individual barriers with evidence-based behavioral science inclusive of underserved populations. Integrating design processes such as the Double Diamond model with evidence-based behavioral science intervention development offers a unique opportunity to create equitable interventions. Further, leveraging behavior change artificial intelligence (AI) capabilities allows for both personalizing and automating that personalization to address barriers to COVID-19 vaccination at scale. The result is an intervention whose broad component library meets the needs of a diverse population and whose technology can deliver the right components for each individual.
新冠疫情加剧了先前存在的健康差距。历史上未得到充分服务的社区的人群,包括少数种族和族裔群体以及收入和教育程度较低的人群,经历了不成比例的过早死亡、医疗保健可及性以及疫苗接种接受度和接种率方面的问题。与此同时,疫情增加了对数字设备的依赖,提供了一个独特的机会来利用数字通信渠道解决健康不平等问题,特别是与新冠疫苗接种相关的问题。我们提供一种现实世界的、系统的方法来设计个性化行为改变电子邮件和短信干预措施,这些措施利用基于证据的行为科学来解决包括未得到充分服务人群在内的个体障碍。将双钻石模型等设计流程与基于证据的行为科学干预开发相结合,提供了一个创造公平干预措施的独特机会。此外,利用行为改变人工智能(AI)能力既可以实现个性化,又可以将这种个性化自动化,从而大规模解决新冠疫苗接种的障碍。其结果是一种干预措施,其广泛的组件库满足了多样化人群的需求,并且其技术可以为每个人提供合适的组件。