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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. A total of 269,411 patients were used for model training.

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Intervention Strategies for Management of Comorbid Depression Among Individuals With Hypertension: A Scoping Review [Cardiovascular disease]

Annals of Family Medicine

Background: Hypertension and depression frequently co-occur, complicating patient management and worsening outcomes. This scoping review aims to systematically map non-pharmacological interventions for managing comorbid hypertension and depression, providing insights into current practices and guiding future research.

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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. Objective To introduce the novel approach of using a T-Connector between a patient’s HBPM and their physician’s office sphygmomanometer to permit a simultaneous blood pressure reading.

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Identifying Patients at High Risk for Falls using an AI/ML model [Geriatrics]

Annals of Family Medicine

Context: Patient Safety Objective: Identify Patients at High Risk for Falls using an AI/ML model. Falls among elderly patients are costly and potentially preventable. Overtreatment of hypertension has been identified as a major risk factor for putting patients at risk for falls in patients with low blood pressures.

Patients 130
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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

Context: Patients with chronic medical conditions (CCs) and behavioral comorbidities have lower quality of life and increased healthcare expenses. Our work builds a foundation for cost-effective workflows to support patients with multimorbidity. 8% (n= 1,146) were ordered for medical condition management.

Referral 130
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Acute changes in insulin requirements in response to plant-based dietary interventions. [Diabetes and endocrine disease]

Annals of Family Medicine

Because of their health benefits, providers sometimes recommend, and motivated patients sometimes adopt, a plant-based diet to improve their health. Context: Plant-based diets comprise a spectrum of plant-predominant dietary patterns which have often been associated with significant cardiometabolic benefits.

Diabetes 130
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Clinical Reasoning Corner: Pre and Posttest Probability – Jack Penner

The Clinical Problem Solvers

Objectives Define pre and posttest probability Demonstrate the utility of pre and posttest probability in diagnostic reasoning Practice applying pre and posttest probability in clinical decision making What are Pre and Posttest Probabilities? The utility of each test is a product of the test characteristics and the clinical scenario.

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