Medicine and Health Sciences Commons^™

Keeping The Lights On: The Impact Of The Covid-19 Pandemic On Elective Total Joint Arthroplasty Utilization In The United States, Matthew W. Cole, Lacee K. Collins, Garrett H. Williams, Olivia C. Lee, William F. Sherman

School of Medicine Faculty Publications

Background: It was estimated that up to 30,000 primary total hip arthroplasty (THA) and total knee arthroplasty (TKA) procedures would be cancelled each week during the moratorium on elective surgeries in the United States. The purpose of this study was to analyze the impact of the COVID-19 pandemic on elective total joint arthroplasty utilization in the United States. Methods: A retrospective study was conducted using the PearlDiver database. Patients who underwent primary elective THAs and TKAs were identified and filtered by state and month from January through September of both 2019 and 2020. The volume of these procedures immediately following …

Confirming Multiplex Rt-Qpcr Use In Covid-19 With Next-Generation Sequencing: Strategies For Epidemiological Advantage, Rob E. Carpenter, Vaibhav Tamrakar, Harendra Chahar, Tyler Vine, Rahul Sharma

Human Resource Development Faculty Publications and Presentations

Rapid identification and tracking of emerging SARS-CoV-2 variants are critical for understanding the transmission dynamics and developing strategies for interrupting the transmission chain. Next-Generation Sequencing (NGS) is an exceptional tool for whole-genome analysis and deciphering new mutations. The technique has been instrumental in identifying the variants of concern (VOC) and tracking this pandemic. However, NGS is complex and expensive for large-scale adoption, and epidemiological monitoring with NGS alone could be unattainable in limited-resource settings. In this study, we explored the application of reverse transcription-quantitative polymerase chain reaction (RT-qPCR) based detection of the variant identified by NGS. We analyzed a total …

The Short-Term Effects Of Fine Airborne Particulate Matter And Climate On Covid-19 Disease Dynamics, El Hussain Shamsa, Kezhong Zhang

Medical Student Research Symposium

Background: Despite more than 60% of the United States population being fully vaccinated, COVID-19 cases continue to spike in a temporal pattern. These patterns in COVID-19 incidence and mortality may be linked to short-term changes in environmental factors.

Methods: Nationwide, county-wise measurements for COVID-19 cases and deaths, fine-airborne particulate matter (PM_2.5), and maximum temperature were obtained from March 20, 2020 to March 20, 2021. Multivariate Linear Regression was used to analyze the association between environmental factors and COVID-19 incidence and mortality rates in each season. Negative Binomial Regression was used to analyze daily fluctuations of COVID-19 cases …

Effect Of Early Mobilization On Length Of Hospital Stay In Covid-19 Patients: A Critically Appraised Topic, Ashlee Hodges, Anna Claire Briscoe, Anna Beth Willoughby, Carlton Hubbard, Nathan Smith

Master of Occupational Therapy Student Critically Appraised Topics

For this project, we created a critically appraised topic to study the effects of early mobilization on length of hospital stay in COVID-19 patients in the ICU.

Intermediate Anticoagulation Dosing In Covid-19 Icu Patients: Evaluation Comparing Ventilated Vs Non-Ventilated Populations, Christopher Michael D'Amico

Applied Research Projects

Surges of COVID-19 have been seen to place large numbers of patients into the ICU. Establishing standards of care is critical not only for patient care, but to also implement a baseline of therapy to build upon with future research. COVID-19 produces a hypercoagulable state resulting in higher occurrences of clotting such as deep vein thrombosis (DVT), and pulmonary embolism (PE). Anticoagulation medications thin the blood to combat this aspect of the disease from occurring but does so at the risk of increasing bleeding potential. The purpose of this study is to evaluate the risk/benefit of anticoagulation usage between ventilated …

Why Do Family Members Reject Ai In Health Care? Competing Effects Of Emotions, Eun Hee Park, Karl Werder, Lan Cao, Balasubramaniam Ramesh

Information Technology & Decision Sciences Faculty Publications

Artificial intelligence (AI) enables continuous monitoring of patients’ health, thus improving the quality of their health care. However, prior studies suggest that individuals resist such innovative technology. In contrast to prior studies that investigate individuals’ decisions for themselves, we focus on family members’ rejection of AI monitoring, as family members play a significant role in health care decisions. Our research investigates competing effects of emotions toward the rejection of AI monitoring for health care. Based on two scenario-based experiments, our study reveals that emotions play a decisive role in family members’ decision making on behalf of their parents. We find …