Analytical, Diagnostic and Therapeutic Techniques and Equipment Commons^™

Assessing Virtual Versus In-Person Experiential Learning And Medical High-Fidelity Simulation In Medical Student Pediatric Clerkship Training, Andrew Mitchell Berry

Electronic Theses and Dissertations

Simulation and experiential training have been incorporated into medical school training for decades. The utilization of medical simulations has become an invaluable tool in healthcare education and training. However, circumstances such as limited resources, geographical constraints, or global health crises may hinder the feasibility of conducting in-person medical simulations. In these scenarios, virtual medical simulations emerge as a compelling alternative. While there are many ways to accomplish experiential-based learning, many faculty and students feel Socratic learning styles provide the best learning experience.

As medical students had just finished a predominantly virtual preclinical year due to the COVID-19 pandemic, the research …

Mining High Impact Combinations Of Conditions From The Medical Expenditure Panel Survey, Arjun Mohan

Masters Theses

The condition of multimorbidity — the presence of two or more medical conditions in an individual — is a growing phenomenon worldwide. In the United States, multimorbid patients represent more than a third of the population and the trend is steadily increasing in an already aging population. There is thus a pressing need to understand the patterns in which multimorbidity occurs, and to better understand the nature of the care that is required to be provided to such patients.

In this thesis, we use data from the Medical Expenditure Panel Survey (MEPS) from the years 2011 to 2015 to identify …

Association Of Post-Traumatic Stress Disorder Exposure And Treatment In Pregnancy With Pregnancy, Obstetric And Neonatal Outcomes, Natalie Zitoun

Electronic Thesis and Dissertation Repository

A particular condition for which there is a dearth of pregnancy information is Post-Traumatic Stress disorder (PTSD). This thesis aimed to evaluate PTSD exposure and treatment in pregnancy. Our first study was a systematic review, meta-analysis, and GRADE assessment that reported associations between maternal PTSD exposure with pregnancy, obstetric, and neonatal outcomes. Our second study was a prospective evaluation of pregnancy outcomes after prazosin exposure in the first trimester of pregnant patients who were counselled at the Fetal Risk Assessment from Maternal Exposures (FRAME) clinic. Our review and analysis found positive associations between PTSD in pregnancy and some adverse pregnancy …

The Effects Of Peers For Young Adults On Anxiety And Quality Of Life For Young Adults With Autism Spectrum Disorder, Alysha Cecile Dagg

Electronic Theses and Dissertations

Social skills deficits as well as comorbid anxiety are two characteristics commonly experienced by people with Autism Spectrum Disorder - Level 1 (ASD-1; American Psychiatric Association, 2013). These characteristics are also both contributors to a lower quality of life for young adults (Smith et al., 2019). The current study aimed to identify how the quality of life and anxiety are affected by social skills intervention, specifically the PEERS® for Young Adults program (Laugeson, 2017). PEERS® for Young Adults is an evidence-based social skills intervention intended to support individuals with ASD-1 (Laugeson, 2017). Prior research has demonstrated its success in both …

A Machine Learning Approach For Predicting Clinical Trial Patient Enrollment In Drug Development Portfolio Demand Planning, Ahmed Shoieb

Masters Theses

One of the biggest challenges the clinical research industry currently faces is the accurate forecasting of patient enrollment (namely if and when a clinical trial will achieve full enrollment), as the stochastic behavior of enrollment can significantly contribute to delays in the development of new drugs, increases in duration and costs of clinical trials, and the over- or under- estimation of clinical supply. This study proposes a Machine Learning model using a Fully Convolutional Network (FCN) that is trained on a dataset of 100,000 patient enrollment data points including patient age, patient gender, patient disease, investigational product, study phase, blinded …

Diagnosis Of Urinary Tract Infections And Rapid Molecular Characterization Of Antibiotic Resistance, Mohammed Harris

All Dissertations

Urinary tract infections (UTIs) are one of the most common infectious clinical entities in both community and hospital settings. They have a broad range of clinical severity yet inflict large epidemiological burden of morbidity and mortality on patients and the healthcare system with billions of dollars in cost of treatment. Understanding what methods are optimal for diagnosing UTIs are critical to mitigate the marked impact and cost of these infections.

Chapter 1 and 2 in this work surveys the broad array of diagnostic modalities for UTIs and highlights their advantages and limitations in the context of the current standard of …

Accuracy Of Therapeutic Drug Monitoring In Vancomycin And The Pharmacist Role: A Retrospective Case-Series, Kateryna Parkhomenko

Senior Theses

Vancomycin is a mainstay of therapy for treating virulent and resistant infections, especially methicillin-resistant Staphylococcus aureus (MRSA). However, vancomycin requires therapeutic drug monitoring (TDM) for optimal dosing and treatment. This requires pharmacists to calculate a dosing regimen that correlates to appropriate goal vancomycin concentrations in the blood. Dosing vancomycin can be difficult, as it varies on a patient’s weight, renal function, age, etc. Doses may have to be adjusted in response to out-of-range concentrations, which requires further pharmacy calculations. Inaccurate dosing poses a risk to patient safety and places a resource and time burden on pharmacists. If vancomycin dosing methods …