Health Services Intervention Trials

Faculty

Esa Davis, MD, MPH, FAAFP

Dr. Davis’ research focuses on reducing risk factors such as hypertension, obesity, smoking, and patient attitudes associated with cardiovascular disease.

Charles Jonassaint, PhD MHS

Dr. Jonassaint is the co-inventor of two mobile apps for assessing patient-reported outcomes - innovations that are specifically designed to meet the needs of underserved populations. Testing of a SCD specific self-management app has led to two publications and is now being used in four funded studies at three institutions. 

Kathleen McTigue, MD, MPH, MS

Dr. McTigue led the development, implementation, and evaluation of the first online adaptation of the Diabetes Prevention Program’s lifestyle intervention. This work uses technology to bring evidence-based self-management support to primary care patients. 

Bruce Rollman MD, MPH

Dr. Rollman pioneered the use of Epic electronic medical record system alerts to identify patients for enrollment into clinical trials at the time of the physician encounter. He has been principal investigator on six NIH-funded R01 effectiveness trials for treating depression and anxiety that all achieved at least 100% of their target recruitment goals. These trials include the Online Treatment for Mood and Anxiety Disorders Trial, which evaluated the impact of providing a computerized cognitive behavioral therapy program and Internet support group through a collaborative care program (N=704), and the Hopeful Heart Trial, which tested the effectiveness of a “blended" collaborative care model for treating both systolic heart failure and depression (N=756).

Ann-Marie Rosland, MD, MS

Director, Caring for Complex Chronic Conditions Research Center

Dr. Rosland is currently developing a new 'smart' tool that uses real-time health system data and machine learning to support effective primary care management for complex patients. She is also a Co-Principal Investigator for the VA PROVE QUERI, which promotes the use of interventions that make healthcare decision-making more personalized to patients' needs and values.