Epilepsy is a medical disorder that is difficult to diagnose given the current available protocols and procedures. This project looks at the potential economic impact of a new digital screening technology developed by EpiFinder, Inc. Utilizing a thorough literature review, this thesis generated a concept based clinical utility function comprised of the essential functional aspects of a seizure assessment. EpiFinder’s digital screening tool was then inserted into the clinical utility objective function based on its capabilities. In order to evaluate the potential impact of this model, hospital discharge data from Phoenix Children’s Hospital was assessed for costs relating to procedures performed. This was estimated using average charges for Medicare Part B in 2018. Patients were categorized based on the severity of their seizure presentation into groups of well-controlled, intermediate-controlled, and uncontrolled seizures. Due to a limited data set for well-controlled seizure patients, only intermediate-controlled and uncontrolled groups were compared through the clinical utility model. There was an average cost savings of $227.92 for the uncontrolled group with digital screening and $131.94 for the intermediate-controlled group. The findings of this feasibility study for the economic impact of digital screening suggest further work to refine the model and improve the quality of cost estimates. Clinical utility of seizure assessment procedures and protocols should be quantified through claims data and field specialists opinions to broaden the scope of digital screening’s impact across the continuum of care for epilepsy patients. Comparisons of clinical utility and the creation of an objective function to assess new medical technologies is becoming a common practice for analyzing new medical technologies entering the market. This is the first such attempt in regards to adding a digital screening tool into the current seizure assessment protocols.

The main purpose of this investigation is to determine the intensity, economic costs, and potential solutions to HIV/AIDS stigma in the United States and Tanzania. In order to accomplish this goal, a literature review was conducted, and an economic model was created to determine how HIV/AIDS treatment deterrence manifests and affects these countries. The results of the economic model suggested that Tanzania suffers greater economic loss due to HIV treatment deterrence than the United States, however, both countries lose a significant portion of GDP due to HIV treatment deterrence. Stigma materializes differently in each country based on a variety of sociocultural factors. These include the demographic groups most affected, the perception of those living with HIV, and how sexually transmitted infections are perceived within communities. The solutions to HIV stigma must be tailored to the country, culture, and context that it arises for interventions to be effective. To further prevent HIV/AIDS stigma and its economic consequences, the etiology of stigma and how it presents in different communities must be understood.

The Medicaid expansion policy that was introduced during the Obama administration has been a political point of controversy. The expansion aimed to increase health insurance coverage for those who are unable to afford health insurance for themselves.
This analysis aimed to determine the economic effect of the Medicaid expansion on real GDP per capita. The expansion is believed to result in greater worker productivity and increases in healthcare service consumption and consumption of other goods. As health insurance coverage may increase real GDP per capita due to healthier workers being more productive, an analysis was first done on the effect of the expansion on health insurance coverage, then the effect of the health insurance coverage on real GDP per capita. The data used was in the time frame of 1999 to 2016 and organized by state, and gathered from the Bureau of Economic Analysis, the U.S Census Bureau, the Kaiser Family Foundation, Bureau of Labor Statistics, and the Federal Reserve Bank of St. Louis. The analysis was structured as a 2-stage multivariable linear regression. These regressions were modeled as a fixed-effects regression so states may be compared to itself over time. The first regression was of health insurance coverage on proportions of industry output from the agriculture, resources, manufacturing, and finance sector, median income, employment rate, poverty rate, Medicaid expansion status, and year. The predicted values of this regression were then used as an instrumental variable in the second regression. The second regression was of real GDP per capita on proportions of industry output from the agriculture, resources, manufacturing, and finance sector, median income, employment rate, poverty rate, the instrumental variable, and year. Regressions were also done on the expansion’s effect on per capita personal consumption expenditures and healthcare consumption expenditures using the instrumental variable.
The results of the regressions show that the expansion had a positive effect on health insurance coverage and real GDP per capita. It also increased personal expenditures per capita and healthcare expenditures per capita, suggesting that the lower price of healthcare results in increased overall consumption. The data was constrained by time, as the expansion was only implemented recently, and some states are still deciding whether or not to. Thus, the results of support expectations, but more time would need to pass to more accurately estimate the effects of the expansion on these states.

Childhood obesity is a growing public health concern in the United States. For several years, many interventions have been established to reduce the prevalence of childhood obesity. However, these interventions have not adequately utilized existing models of behavior change, and as a result, have been unsuccessful in increasing levels of physical activity and healthy dietary intake. One such model of change, the Transtheoretical Model, views behavior change as occurring through a series of stages with progression through the stages being facilitated by cognitive and behavioral processes. Within these processes the constructs of consciousness-raising, helping relationships, and self-efficacy have been shown to be most influential in changing behaviors. Thus, the objective of this paper is to evaluate the effectiveness of such constructs and establish a multi-faceted approach to combat this epidemic.

The U.S. Automobile industry was once the crown jewel of America's industrial empire, nothing symbolized American industrial might like the auto plants of Detroit and the millions of cars it put on the road. However, after a spectacular rise in power and wealth after the Second World War, the Big 3 of the automotive industry, General Motors, Ford and Chrysler, have declined to the point of needing a government bailout to continue operation. This paper examines this decline by examining two narratives that describe its fall, and examines the theoretical and empirical evidence for both stories.

Entrepreneurs represent the engine for economic change in the nation. By interviewing and studying student entrepreneurs, I could explore the inspiration creating the changes seen in the environment around us and characterize the student entrepreneur. Specifically, by studying the similarities and differences among student entrepreneurs at ASU, I could identify traits that made entrepreneurs unique from each other. After in-depth interviews and surveys, I found that entrepreneurs could be categorized into one of four primary motivations and further distinguished by perceptions of money, responsibility and family environment. At the end of this paper, I conclude that student entrepreneurs can be empowered by the insights taken from this research. With further understanding, the survey may have practical applications to existing ventures and entrepreneurial college students.

Economists, political philosophers, and others have often characterized social preferences regarding inequality by imagining a hypothetical choice of distributions behind "a veil of ignorance". Recent behavioral economics work has shown that subjects care about equality of outcomes, and are willing to sacrifice, in experimental contexts, some amount of personal gain in order to achieve greater equality. We review some of this literature and then conduct an experiment of our own, comparing subjects' choices in two risky situations, one being a choice for a purely individualized lottery for themselves, and the other a choice among possible distributions to members of a randomly selected group. We find that choosing in the group situation makes subjects significantly more risk averse than when choosing an individual lottery. This supports the hypothesis that an additional preference for equality exists alongside ordinary risk aversion, and that in a hypothetical "veil of ignorance" scenario, such preferences may make subjects significantly more averse to unequal distributions of rewards than can be explained by risk aversion alone.

In recent years, the number of applications for admission to graduate education programs has increased. Researchers attempted to gain insight into this increase by examining student perception of the costs and benefits of pursuing graduate-level education. In order to gauge this perception, researchers administered an online survey to 151 subjects from Barrett, the Honors College at Arizona State University. Student perception was then compared to data released by ASU detailing actual costs and benefits of obtaining graduate-level education. Researchers' prediction that increased levels of parental education would be associated with more accurate estimates of the benefits of graduate-level education was correct at a statistically significant level. Further, being male was statistically significantly associated with an increase in starting salary overestimation.