Lisa Gary is an Assistant Professor in the Department of Health Care Organization and Policy at the UAB School of Public Health. Professor Gary’s research interests are focused on the experiences of vulnerable populations in the health care system. Specific research topics include racial health care disparities, mental health disparities for people with chronic illnesses (e.g.-osteoarthritis and diabetes), and men’s health. She is particularly interested in examining how patient-level factors (such as attitudes about medical decision-making, health information technology and patient trust) and organizational factors (such as health insurance type) influence consumer empowerment and health care quality. She completed her Ph.D. in Health Policy with a concentration in epidemiologic methods at Yale University. She also has an M.P.H. in Epidemiology and an M.S. in Mathematics from the University of Michigan, Ann Arbor. She earned her B.S. in Mathematics magna cum laude at Spelman College.
This project is a secondary data analysis of the Healthcare for Communities Wave 2 study to examine quality of care from the perspective of vulnerable consumers (racial minorities, persons with chronic illnesses, and persons with mental health needs). Patient satisfaction is the main outcome, a measure of quality.
My New Connections Experience
I applied for the New Connection grant in order to support my research on disparities in mental health treatment for persons with chronic physical illnesses. As a New Connections grantee, I have met exceptional scholars from a wide range of disciplines. I also had the opportunity to focus on my research with the generous funding support from RWJF at a critical point in my professional development.
Patient reported measures of quality, Racial and gender disparities in health care quality (mental health, arthritis, and aging).
- New Connections Status: Junior Investigator
- Award Year: 2007
- RWJF Team/Portfolio: Quality/Equality
- Project Name: Measuring Quality: Understanding the Patient Satisfaction Profiles of Vulnerable Populations.