Barrett, The Honors College at Arizona State University proudly showcases the work of undergraduate honors students by sharing this collection exclusively with the ASU community.

Barrett accepts high performing, academically engaged undergraduate students and works with them in collaboration with all of the other academic units at Arizona State University. All Barrett students complete a thesis or creative project which is an opportunity to explore an intellectual interest and produce an original piece of scholarly research. The thesis or creative project is supervised and defended in front of a faculty committee. Students are able to engage with professors who are nationally recognized in their fields and committed to working with honors students. Completing a Barrett thesis or creative project is an opportunity for undergraduate honors students to contribute to the ASU academic community in a meaningful way.

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Description
PURPOSE: The purpose of the study was to examine recent nursing textbooks’ portrayal of gender, weight, and diagnosis in eating disorder exemplars, and compare the textbook presentation to prevalence rates as published within the textbooks themselves.

CONTEXT: Eating disorders are often portrayed as afflicting underweight women with a diagnosis of anorexia

PURPOSE: The purpose of the study was to examine recent nursing textbooks’ portrayal of gender, weight, and diagnosis in eating disorder exemplars, and compare the textbook presentation to prevalence rates as published within the textbooks themselves.

CONTEXT: Eating disorders are often portrayed as afflicting underweight women with a diagnosis of anorexia nervosa. Demographics of people outside this stereotype face health disparities in illness recognition and treatment. Passive exposure to information on eating disorders can reduce stereotypical beliefs among nursing students, which has the potential to improve patient care.

METHOD: Case studies, practice questions, vignettes, and care plans from eight psychiatric nursing textbooks were analyzed for portrayal of the three research variables.

DATA and RESULTS: Men were not significantly underrepresented in the exemplars. Transgender clients, clients of normal or overweight status, and clients with diagnoses other than anorexia nervosa were significantly underrepresented from eating disorder exemplars.

CONCLUSION: Textbooks should be adjusted to include more exemplars from underrepresented demographics of clients with eating disorders.
ContributorsDavid, Teresa C (Author) / Brian, Jennifer (Thesis director) / Kniskern, Megan (Committee member) / Edson College of Nursing and Health Innovation (Contributor) / Barrett, The Honors College (Contributor)
Created2020-12
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Description
A mobile phone application was designed as part of an X-Prize challenge at Arizona State University (ASU). The team created an application that displays 4D visualization of time sensitive contagion data, specifically focusing on the Ebola Virus Disease. The application, named “Ebola Resource Decision Evaluator” (ERDE), is a tool to

A mobile phone application was designed as part of an X-Prize challenge at Arizona State University (ASU). The team created an application that displays 4D visualization of time sensitive contagion data, specifically focusing on the Ebola Virus Disease. The application, named “Ebola Resource Decision Evaluator” (ERDE), is a tool to aid in resource allocation for decision-makers during epidemics and outbreaks. The predictive algorithm was based on the SIR Model—susceptible, infected, and recovered (or immune). We adapted this predictive model into our application to forecast weeks forward the Ebola incidence in three cities in the Democratic Republic of Congo (DRC).
The current 2D map used by the Center for Disease Control (CDC) displays only the number of deaths in a city caused by the outbreak. But, the cities differ in ways 2D cannot convey. We implemented the augmented reality (AR) aspect to give more meaning to data and to give decision-makers interactive 4D city-by-city comparisons. The outbreak is ongoing as of September 2019 and ASU has committed to hosting the application for other healthcare workers to use. The application incorporates the most recent data on the disease and updates to visualize how many are predicted to become infected given X units of vaccine. We are able to use the data and compare the effectiveness to other cities. After this collection of data, professionals would determine the most efficient action to take against the spread of the disease.
ContributorsHu, Lawrence (Author) / Hall, Rick (Thesis director) / Johnson-Glenberg, Mina (Committee member) / Sanford School of Social and Family Dynamics (Contributor) / Edson College of Nursing and Health Innovation (Contributor) / Barrett, The Honors College (Contributor)
Created2020-05