University of Minnesota, Minneapolis, MN, USA.
Prev Sci. 2019 Jan;20(1):1-9. doi: 10.1007/s11121-018-0955-9.
The goal of this Special Issue is to introduce prevention scientists to an emerging form of healthcare, called precision medicine. This approach integrates investigation of the mechanisms of disease and health-compromising behaviors with prevention, treatment, and cure resolved at the level of the individual. Precision Medicine and its derivative personalized prevention represents a promising paradigm for prevention science as it accounts for response heterogeneity and guides development of targeted interventions that may enhance program effect sizes. If successfully integrated into prevention science research, personalized prevention is an approach that can inform the development of decision support tools (screening measures, prescriptive algorithms) and enhance the utility of mobile health technologies that will enable practitioners to use personalized consumer data to inform decisions about the best type and/or intensity of a prevention strategy for particular individuals or subgroups of individuals. In this special issue, we present conceptual articles that provide a heuristic framework for precision-based, personalization prevention research and empirical studies that address research questions exemplary of a new generation of precision-based personalized preventive interventions focused on children's mental health, behavioral health, and education.
本期特刊的目的是向预防科学家介绍一种新兴的医疗保健形式，称为精准医学。这种方法将疾病和健康损害行为的机制研究与预防、治疗和个体化治愈相结合。精准医学及其衍生的个性化预防代表了预防科学的一个有前途的范例，因为它考虑到了反应的异质性，并指导了靶向干预措施的制定，这些措施可能会提高项目效果的大小。如果成功地整合到预防科学研究中，个性化预防是一种可以为决策支持工具（筛查措施、规定算法）的开发提供信息的方法，并增强移动健康技术的实用性，使从业者能够使用个性化的消费者数据来告知有关特定个人或个人亚组的最佳预防策略类型和/或强度的决策。在本期特刊中，我们提出了概念性文章，为基于精准的个性化预防研究提供了一个启发式框架，并提出了实证研究，这些研究解决了新一代基于精准的个性化预防干预措施的研究问题，这些干预措施侧重于儿童的心理健康、行为健康和教育。
