Yolene Gousse, Ravenell Joseph, Steptoe Robert, Douglas Dawn, Camille Joanne, Castor Chimene
St. John's University, College of Pharmacy and Health Sciences, Queens, NY.
New York University Grossman School of Medicine, Department of Population Health, New York, NY.
Innov Pharm. 2024 Dec 12;15(4). doi: 10.24926/iip.v15i4.6271. eCollection 2024.
Health promotion intervention theory must adapt as evidence grows to support the complexities of social and behavioral health fields. Following the COVID-19 pandemic, digital health continues to grow, requiring a re-evaluation of traditional models' applicability to these approaches. The authors propose adapting and integrating the Socio-Ecological Model (SEM) and Diffusion of Innovation (DOI) models for application with digital health to deliver interventions. We also describe the application of the SEM-DOI integration in conjunction with a demonstration project, a digital intervention to improve Metabolic Syndromes (MetS) health outcomes. Future health interventions may consider the proposed SEM-DOI model to account for individual and community-level factors during implementation and use as a guide for meaningful evaluation. Adaptations of theoretical models to current-state interventions and integration of multiple, established models are needed to sustain prevention efforts and efficacy over time.
随着支持社会和行为健康领域复杂性的证据不断增加，健康促进干预理论必须做出调整。在新冠疫情之后，数字健康持续发展，这就需要重新评估传统模式对这些方法的适用性。作者提议对社会生态模型（SEM）和创新扩散（DOI）模型进行调整和整合，以便与数字健康相结合来实施干预措施。我们还描述了SEM-DOI整合在一个示范项目中的应用，该项目是一项旨在改善代谢综合征（MetS）健康结果的数字干预措施。未来的健康干预措施可能会考虑所提议的SEM-DOI模型，以便在实施过程中考虑个体和社区层面的因素，并将其用作有意义评估的指南。需要对理论模型进行调整以适应当前的干预措施，并整合多个既定模型，以便随着时间的推移维持预防工作和效果。
