Zainal Nur Hani, Liu Xueqing, Leong Utek, Yan Xiaoxi, Chakraborty Bibhas
Department of Psychology, National University of Singapore, Singapore.
Centre for Quantitative Medicine, Duke-NUS Medical School, National University of Singapore, Singapore; email:
Annu Rev Public Health. 2025 Apr;46(1):43-68. doi: 10.1146/annurev-publhealth-071723-103909. Epub 2024 Dec 10.
This review explores the transformative potential of just-in-time adaptive interventions (JITAIs) as a scalable solution for addressing health disparities in underserved populations. JITAIs, delivered via mobile health technologies, could provide personalized, context-aware interventions based on real-time data to address public health challenges such as addiction treatment, chronic disease management, and mental health support. JITAIs can dynamically adjust intervention strategies, enhancing accessibility and engagement for marginalized communities. We highlight the utility of JITAIs in reducing opportunity costs associated with traditional in-person health interventions. Examples from various health domains demonstrate the adaptability of JITAIs in tailoring interventions to meet diverse needs. The review also emphasizes the need for community involvement, robust evaluation frameworks, and ethical considerations in implementing JITAIs, particularly in low- and middle-income countries. Sustainable funding models and technological innovations are necessary to ensure equitable access and effectively scale these interventions. By bridging the gap between research and practice, JITAIs could improve health outcomes and reduce disparities in vulnerable populations.
本综述探讨了即时适应性干预措施(JITAIs)作为一种可扩展的解决方案,以解决服务不足人群健康差距问题的变革潜力。通过移动健康技术提供的JITAIs可以根据实时数据提供个性化、情境感知的干预措施,以应对诸如成瘾治疗、慢性病管理和心理健康支持等公共卫生挑战。JITAIs可以动态调整干预策略,提高边缘化社区的可及性和参与度。我们强调JITAIs在降低与传统面对面健康干预相关的机会成本方面的效用。来自各个健康领域的例子展示了JITAIs在定制干预措施以满足不同需求方面的适应性。该综述还强调了在实施JITAIs时社区参与、强大的评估框架和伦理考量的必要性,特别是在低收入和中等收入国家。可持续的资助模式和技术创新对于确保公平获取并有效扩大这些干预措施的规模是必要的。通过弥合研究与实践之间的差距,JITAIs可以改善弱势群体的健康结果并减少差距。