A360
Key Takeaways✦ Atlas AI
01
A clinical trial showed a team-based care model in community health centers significantly lowered blood pressure in low-income patients, demonstrating its effectiveness in high-risk populations.
02
This low-cost intervention, involving health coaching and home monitoring, could reduce cardiovascular events by 10%, highlighting its potential to improve public health outcomes and reduce healthcare costs.
03
The model's scalability and ability to reduce provider burden while empowering patient self-management suggest it can be widely adopted to improve hypertension control in underserved communities.
Atlas AI
A clinical trial demonstrated that a team-based intervention in federally qualified health centers significantly reduced systolic blood pressure in low-income participants. This model included intensive blood pressure management, tracking, health coaching, and home monitoring.
The intervention resulted in a greater reduction in systolic blood pressure compared to enhanced usual care. This difference could lead to a 10% reduction in cardiovascular events.
At 18 months, 21. 8% of the intervention group achieved systolic blood pressure below 120 mm Hg, compared to 15.1% in the control group. The average cost of the team-based intervention was approximately $760 per patient.
This model is scalable to other primary care settings and can improve hypertension control in underserved populations. It also reduced provider burden and supported patient self-management.
