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Her dissertation—which focuses on measuring the cost-effectiveness of universal mental health screening for adolescent depression—will likely have policy implications for setting screening practices for pediatricians and family doctors, who are in a strong position to advocate for youth’s mental health. She aims to apply decision science tools and simulation modeling for addressing health equity while accounting for complexities.
MORE ABOUT TRAN
Tran Doan is a PhD student in Health Services Organization and Policy, specializing in decision science and operations research. Before this, Tran worked on a Health Policy and Advocacy team for AIDS United—a D.C. non-profit operating the oldest federal policy coalition working to end the HIV epidemic in the United States. Additionally, she spent some time as a Community Outreach Manager for Hôpital Albert Schweitzer Haiti—a 24/7 non-profit hospital in rural Haiti. Tran has an MPH in Infectious Diseases and a BS in Chemistry with honors.
DISSERTATION GRANT AWARDEE — FEBRUARY 2020
A Cost-Effectiveness Analysis of Universal Routine Depression Screening of U.S. Adolescents in Primary Care
About one in five adolescents face major depression. In 2018, American Academy of Pediatrics recommends that all children ages 12 years and older should be screened for depression annually. However, depression in teens often goes underdiagnosed and undertreated—presenting an opportunity for pediatricians to help identify mental health issues early and guide adolescents and families toward treatment. My dissertation aims to measure the health and economic outcomes of universal routine depression screening in adolescents in primary care using a cost-effectiveness analysis, and the extent to which the results are influenced by demographic factors including race-ethnicity, gender, and age.
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