Heart health outcomes need a boost from data analytics, according to a new report published in Circulation by the American Heart Association (AHA), which raises concerns about the slower decline in cardiovascular mortality rates that began in 2011.
Addressing this problem calls for analytics that support a redoubling of prevention efforts and a learning healthcare system, the AHA says, in which population cardiovascular health metrics are measured, evaluated, intervened on, and re-evaluated.
“There is a need to implement innovative, integrated approaches to enhance cardiovascular health and overcome these adverse mortality trends,” said Randi Foraker, PhD, MA, FAHA, FAMIA, Associate Professor at the Institute for Informatics at Washington University’s School of Medicine in St. Louis, Missouri, and Chairman of the writing committee for the Scientific Statement.
“Healthcare systems must continue to meet the growing demand for data-driven strategies to optimize population cardiovascular health and to prevent chronic diseases. Successful intervention programs are designed to help healthcare professionals focus on modifiable risk factors that can prevent heart disease,” said Foraker.
The AHA also said organizations must take steps toward a more equitable delivery of heart interventions that are more equitable across different settings and populations.
“Application of evidence-based implementation science tools and techniques can facilitate the uptake and effective use of evidence-based interventions to not only improve population cardiovascular health but also enhance and ultimately preserve health equity,” the AHA concluded.
The full report Achieving Optimal Population Cardiovascular Health Requires an Interdisciplinary Team and a Learning Healthcare System: A Scientific Statement is available as a free PDF here.