NYU Grossman School of Medicine, New York, NY, United States.
Georgetown University, Georgetown, NY, United States.
JMIR Mhealth Uhealth. 2020 Jun 24;8(6):e16429. doi: 10.2196/16429.
Patient nonadherence to healthy lifestyle behaviors and medical treatments (like medication adherence) accounts for a significant portion of chronic disease burden. Despite the plethora of behavioral interventions to overcome key modifiable/nonmodifiable barriers and enable facilitators to adherence, short- and long-term adherence to healthy lifestyle behaviors and medical treatments is still poor. To optimize adherence, we aimed to provide a novel mobile health solution steeped in precision and personalized population health and a pantheoretical approach that increases the likelihood of adherence. We have described the stages of a pantheoretical approach utilizing tailoring, clustering/profiling, personalizing, and optimizing interventions/strategies to obtain adherence and highlight the minimal engineering needed to build such a solution.
患者不遵守健康的生活方式行为和医疗(如药物依从性)占慢性病负担的很大一部分。尽管有大量的行为干预措施来克服主要的可改变/不可改变的障碍,并使依从性的促进因素得以实现,但健康的生活方式行为和医疗的短期和长期依从性仍然很差。为了优化依从性,我们旨在提供一种新的移动健康解决方案,其深深植根于精准和个性化的人群健康和全理论方法,从而提高依从性的可能性。我们已经描述了利用定制、聚类/ profiling、个性化和优化干预措施/策略来获得依从性的全理论方法的各个阶段,并强调了构建这种解决方案所需的最小工程。