Dr. Brown is the Joseph H. Blades Centennial Memorial Professor Emeritus in Nursing and former Senior Research Scientist and Co-investigator/Pilot Core Director, Center for Transdisciplinary Collaborative Research in Self-Management Science. She served as the University's Associate Vice President for Research (1999-2006) as well as two terms as the School of Nursing's Associate Dean for Research (2009-2011; 1995-1999). Dr. Brown's research is focused on the prevention and self-management of type 2 diabetes in Mexican Americans and other high-risk populations. She has had ongoing research funded by the National Institutes of Health (NIH) since 1992. She has conducted 5 funded meta-analyses of diabetes self-management research. The most recent meta-analysis, funded by the National Institute of Nursing Research/NIH, involved a relatively novel type of meta-analysis — a model-driven meta-analysis aimed at testing an explanatory diabetes model in order to more clearly identify those factors most predictive of positive health outcomes, considering race/ethnicity, age, and gender.
Dr. Brown also has a long history of testing diabetes prevention and/or self-management interventions in Starr County, an impoverished Texas-Mexico border community that has one of the highest number of diabetes-related deaths of any county in Texas; the county is also one of the poorest in Texas, as well as in the U.S. This work focused on developing and testing culturally tailored strategies to address the disproportionate burden of diabetes in Mexican Americans. Over the years, Dr. Brown received numerous research grants from the National Institute of Diabetes and Digestive and Kidney Diseases/NIH (NIDDK/NIH), as well as the State of Texas, to test the efficacy of interventions specifically designed for this population. The most recent study, funded by the NIDDK/NIH (2017-2023), was designed to test a diabetes prevention intervention in Mexican Americans who had verified prediabetes. The study also involved an examination of the influence of genetic variation on glucose regulation in response to the lifestyle intervention. (For more information on this study, read Researchers Seek to Prevent Diabetes in At-Risk Population.)