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Using Machine Learning to advance primary care: an example of predictive modeling of hypertension risk to impact outcomes [Hypertension]

Annals of Family Medicine

Context: While hypertension is the most common chronic disease cared for during adult primary care visits, it is challenging to know which hypertensive patients have the highest risk of cardiovascular complications in the future. Population Studied: LVHN has 107,851 adult out-patients with hypertension, and 66.4%

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The T-Connector Approach: a simultaneous method for in-office assessment of home blood pressure monitor accuracy [Hypertension]

Annals of Family Medicine

Context Hypertension Canada recommends home blood pressure monitors (HBPM) for diagnosing and managing hypertension. This makes determining HBPM accuracy of great clinical importance, but there is no established method of doing so in the office. Setting Kaye Edmonton Clinic Family Medicine Clinic and a hypertension research lab.

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Ambulatory Behavioral Health Referral Patterns in the Setting of Chronic Medical Conditions [Behavioral, psychosocial, and mental illness]

Annals of Family Medicine

Early identification and intervention in behavioral aspects of chronic diseases leads to improved function with decreased healthcare utilization, yet we know little about referral patterns for behavioral support of chronic disease. Of those patients with a BH referral and a chronic condition, hypertension was the most common (n= 2,053, 51%).

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