Using precision medicine to address health disparities > How a personalized approach can help address disparities in sleep care

How a personalized approach can help address disparities in sleep care

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The conversation

In a review of recent research, doctors and scientists from NYU Langone Health, Brigham and Women's Hospital, University of Arizona College of Medicine, and St. John’s University discuss the benefits of new approaches that aim to reverse disparities in sleep health problems. These models are community-based and use precision and personalized population health approaches to assess and address sleep health and sleep-related cardiovascular disease risk. 
Community- and precision-based approaches are effective strategies for assessing and addressing sleep health problems and related cardiovascular conditions.

Our perspective

Why this matters for sleep and respiratory patients

 

Community-based and precision and personalized population health (P3H) approaches are effective strategies to assessing and addressing sleep health problems and related health conditions, according to research. Yet very few sleep health programs use these approaches. This may account for low estimates of sleep health problems, related cardiovascular disease outcomes, and inadequate healthcare infrastructure to address sleep-related health outcomes at the community and population level. If community-based and P3H programs were adopted more widely, they could help reduce entrenched disparities that affect the diagnosis, treatment and adherence for sleep and reparatory conditions.

Addressing barriers to care with precision

Community-based and P3H approaches are needed to accurately capture estimates of sleep health and reduce burden of sleep health problems and corollary cardiovascular disease outcomes at the level of the community and population. By leveraging population-level data, and smartly applying those insights to drive improvements across the care pathway, a precision medicine approach could help solve the persistent challenge of racial/ethnical disparities in sleep health care.  


Sleep and respiratory patients could embrace the role of AI technology in their healthcare — and the platforms and systems they use — if they trust those methods will help treat their sleep and respiratory conditions in the long run. If we get this right, we can reach patients in all corners of our communities and change millions of lives. 

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