Duy Đỗ-Feisst 

Email: duydo@sas.upenn.edu

Welcome!

I earned a PhD in Demography and an MA in Statistics from the University of Pennsylvania. My research focuses on the social and medical determinants of health, health insurance policies, and the efficacy of prescription medications.

Here are the links to my publication, work in progress, and CV

Research Projects

Efficacy and side effects of prescription medications

Americans are increasingly relying on prescription medications that, although effective in treating their focal indication, include serious side-effects. In several projects, my coauthor Jason Schnittker and I documented a dramatic increase over the past decades in the use of medications with cognitive impairment side-effect, insomnia side-effect, and depression side-effect. The use of these medication was associated with increased risks of cognitive deficits, insomnia, and depression, as well as growing use/costs of medical services.


Medication side effects and disparities in population health

Why do racial/ethnic minorities and immigrants often report better mental health than non-Hispanic whites and US citizens, despite their poorer physical health, limited access to medical care, and greater discrimination and stress? My coauthor Jason Schnittker and I argued that the minorities' and migrants' advantages in mental health were in part due to their lower consumption of medications with depression or suicide as a side-effect, compared to non-Hispanic whites and US citizens.


The effects of health insurance policies on population health

Whether health insurance improves health and health behavior has been a central question in every debate on the US healthcare reform. Leveraging national health surveys, I have evaluated the impact of several health insurance policies (e.g. Medicare Part D prescription drug program and the Affordable Care Act) on the use of prescription opioids, chronic back pain, chronic pain management, food insecurity, polypharmacy (concurrent use of multiple medications), and drug-drug interactions.


Prevalence and causes of drug-drug interactions

Drug-drug interactions occur when patients consume multiple drugs that react with one another, resulting in unintended adverse side effects. Older adults are more likely to experience drug-drug interactions than young adults since a vast majority of them consume multiple medications simultaneously for treatment/prevention of chronic conditions. However, little is known about the prevalence of older adults encountering life-threatening drug-drug interactions, how the prevalence has changed over time, and risk factors for these interactions. In several ongoing projects, I have demonstrated that the prevalence of drug-drug interactions among older adults has nearly doubled since 1999. I have also identified several risks factors for drug-drug interactions, including rising comorbidity and the concurrent use of multiple pharmacies.


Healthcare workforce and organization

The healthcare workforce is arguably the most vital component of the health care system. However, low attendance of healthcare workers in low-resource countries may impede hospitals’ ability to effectively respond to a rapid surge in demand for care, especially during the COVID-19 pandemic. Using a unique fingerprint verified data from all public-sector hospitals in Bangladesh, my coauthors and I found that healthcare workers' attendance declined in response to the COVID-19 pandemic. This finding may portend an even greater decrease in attendance if COVID-19 continues to spread in Bangladesh.

In addition, my colleagues at Penn Nursing and I have investigated the effects of staffing mandates on nurse staffing and patient outcomes. States with a staffing mandate (e.g. California) were more likely to have an adequate nursing workforce and better patient outcomes, compared to states without such a mandate.


Impact of diagnosis guidelines on health outcomes

Diagnosis guidelines are used to enhance healthcare providers' decision making process and to improve patient health. Using medical claims data from the U.S. and U.K. and a regression discontinuity approach, my coauthors and I aim to evaluate the impact of clinical guidelines for the diagnosis and treatment of hypertension, high cholesterol, cancer, and osteoporosis on long-term health outcomes and mortality.