Home » JEL Codes » I » I1 » I10

Category Archives: I10

Impact of Language Access Laws on LEP Infant Mortality Rates

by Andrew Ryan Griffin

Abstract 

Starting with Executive Order 13166 in 2000, the United States federal government
began to address the language disparity issues in health care. Around the same time, several
states have begun to pass language access (LA) legislation mandating translation and
interpretation services at hospitals for limited English proficient (LEP) individuals. This study
uses these multiple discontinuities to evaluate the effect of language access laws on infant
mortality rates, adequacy of care, Apgar scores, and the number of prenatal visits from the years
1995 to 2004 for limited English proficient families. I find ambiguous results of language access
laws positively impacting infant mortality rates or Apgar scores, but I find clear positive impacts
on the adequacy of care and the number of prenatal visits. These findings suggest that language
access laws have a clear effect on reducing barriers for limited English proficient mothers, and
improving the care mothers receive. Furthermore, there is limited evidence that it improves
infant health or outcomes, but the increase of prenatal visits and adequacy of care likely
indirectly leads to improving infant mortality rates and Apgar scores. More research is needed
into discovering how those mechanisms work and the costs of language services.

Michelle Conolly, Faculty Advisor

JEL codes: I10, I18, I19

View Thesis

The Effects of Leveraged Buyouts on Health Outcomes

by Robert Williams

Private equity firms first began acquiring hospitals in the United States during the early 1990s, yet the effects of private equity ownership on patient outcomes and treatment costs are still not clear. Some argue that although private equity firms are adept at improving operating efficiencies and introducing managerial expertise, these cost-cutting measures may come at the expense of patient outcomes.

Because acute myocardial infarctions (AMIs) serve as proxies for patient outcomes and treatment costs, I collect information on 30-day mortality rates and Medicare reimbursements for treatments of AMIs at US Medicare-certified short-term acute care general hospitals from 2014 to 2019. This paper uses fixed effects models to analyze the impact of leveraged buyouts, relative to strategic acquisitions, on patient outcomes. After integrating both hospital and time fixed effects, I find that private equity ownership does not lead to significant changes in Medicare reimbursements or mortality rates for AMI treatments.

View Thesis

Advisors: Professor Ryan McDevitt, Professor Grace Kim, Professor Michelle Connolly | JEL Codes: I0, I110, G340

Global Warming and Obesity: The Effect of Ambient Temperature on BMI

By Aakash Jain

Previous research has shown that ambient temperature affects human metabolism and behavior. Inspired by these findings, this study examines the effect of lagged annual temperatures in the United States on average reported BMI. The results indicate that higher temperatures in the future will lead to increases in average BMI. A conservative estimate suggests that a 1 °C increase in temperature sustained for 10 years would result in a 0.15 unit increase in average BMI and an additional $15.5 billion in annual health care expenditure.

View Thesis

View Data

Advisor: Billy Pizer | JEL Codes: Q5, Q54, I1, I10

The Relationship between and Geographic Distribution of Breast Cancer Statistics: Diagnosis, Survival, and Mortality in Selected Areas in the United States, 1973-2004

By Timothy Rooney

Using breast cancer registry data from the United States and regression models controlling for race, marital status, and county-level variation, this research analyzes the connections between these statistics and the geographic variation of each of them. In doing so, it determines that stage of diagnosis has a significant impact on survival likelihood and the likelihood of death due to breast cancer. It also determines that survival reduces mortality likelihood. Additionally, it determines that stage of diagnosis, survival, and mortality all vary geographically, postulating that the reason for this variation is due to lifestyle variation and uneven medical talent distribution.

Honors Thesis

Advisor: Charles Becker, Michelle Connolly | JEL Codes: I1, I10, I19 | Tagged: Cancer, Diagnosis, Health, Mortality, Survival

Trauma Center Eficacy: Certification Status and its Effect on Traffic Fatalities at Varying Radii

By Robert Van Dusen

The goal of the paper is to better inform policy makers on the optimal placement of trauma center facilities. Below, I examine the effect of Californian trauma centers vs. standard emergency departments on traffic fatalities for 2002 to 2008. Hospital addresses are geocoded and compared to the geographic coordinates of fatal car accidents provided through USDOT in order to create a dependent fatality density variable for every hospital at different radii. Demographic controls for different radii are constructed using ArcGIS
to serve as a model for traffic fatalities.

View Thesis

Advisor: Frank Sloan, Kent Kimbrough | JEL Codes: I1, I10, I18 | Tagged: Healthcare,
Trauma, Trauma Center

Questions?

Undergraduate Program Assistant
Matthew Eggleston
dus_asst@econ.duke.edu

Director of the Honors Program
Michelle P. Connolly
michelle.connolly@duke.edu