Circulation. 2021 Jan 12;143(2):e9-e18. doi: 10.1161/CIR.0000000000000913. Epub 2020 Dec 3.
Population cardiovascular health, or improving cardiovascular health among patients and the population at large, requires a redoubling of primordial and primary prevention efforts as declines in cardiovascular disease mortality have decelerated over the past decade. Great potential exists for healthcare systems-based approaches to aid in reversing these trends. A learning healthcare system, in which population cardiovascular health metrics are measured, evaluated, intervened on, and re-evaluated, can serve as a model for developing the evidence base for developing, deploying, and disseminating interventions. This scientific statement on optimizing population cardiovascular health summarizes the current evidence for such an approach; reviews contemporary sources for relevant performance and clinical metrics; highlights the role of implementation science strategies; and advocates for an interdisciplinary team approach to enhance the impact of this work.
人口心血管健康,或改善患者和广大人群的心血管健康,需要加倍努力开展一级和二级预防,因为过去十年心血管疾病死亡率的下降已经放缓。以医疗保健系统为基础的方法有很大潜力来帮助扭转这些趋势。学习型医疗保健系统,即衡量、评估、干预和重新评估人口心血管健康指标,可以作为开发干预措施的发展、部署和传播的证据基础的模型。本关于优化人口心血管健康的科学声明总结了这种方法的现有证据;审查了相关绩效和临床指标的当代来源;强调了实施科学策略的作用;并倡导采用跨学科团队方法来增强这项工作的影响力。