Medical Specialties Commons^™

Ovarian Cancer Epidemiology, Healthcare Access And Disparities (Orchid): Methodology For A Population-Based Study Of Black, Hispanic And White Patients With Ovarian Cancer, Tomi Akinyemiju, April Deveaux, Lauren Wilson, Anjali Gupta, Ashwini Joshi, Malcolm Bevel, Chioma Omeogu, Onyinye Ohamadike, Bin Huang, Maria Pisu, Margaret Liang, Molly Mcfatrich, Erin Daniell, Laura Jane Fish, Kevin Ward, Maria Schymura, Andrew Berchuck, Arnold L. Potosky

Biostatistics Faculty Publications

INTRODUCTION: Less than 40% of patients with ovarian cancer (OC) in the USA receive stage-appropriate guideline-adherent surgery and chemotherapy. Black patients with cancer report greater depression, pain and fatigue than white patients. Lack of access to healthcare likely contributes to low treatment rates and racial differences in outcomes. The Ovarian Cancer Epidemiology, Healthcare Access and Disparities study aims to characterise healthcare access (HCA) across five specific dimensions-Availability, Affordability, Accessibility, Accommodation and Acceptability-among black, Hispanic and white patients with OC, evaluate the impact of HCA on quality of treatment, supportive care and survival, and explore biological mechanisms that may contribute to …

Covid-19 And The Impact On Rural And Black Church Congregants: Results Of The C-M-C Project, Lovoria B. Williams, Anita F. Fernander, Tofial Azam, Maria L. Gomez, Junghee Kang, Cassidy L. Moody, Hannah Bowman, Nancy E. Schoenberg

Nursing Faculty Publications

The COVID-19 pandemic has had devastating effects on Black and rural populations with a mortality rate among Blacks three times that of Whites and both rural and Black populations experiencing limited access to COVID-19 resources. The primary purpose of this study was to explore the health, financial, and psychological impact of COVID-19 among rural White Appalachian and Black nonrural central Kentucky church congregants. Secondarily we sought to examine the association between sociodemographics and behaviors, attitudes, and beliefs regarding COVID-19 and intent to vaccinate. We used a cross sectional survey design developed with the constructs of the Health Belief and Theory …

Leveraging Big Data For Pattern Recognition Of Socio-Demographic And Climatic Factors In Correlation With Eye Disorders In Telangana State, India, Amna Alalawi, Les Sztandera, Parth Lalakia, Anthony Vipin Das, Sai Prashanthi Gumpili, Richard Derman

Kanbar College Faculty Papers

Purpose: Big data is the new gold, especially in health care. Advances in collecting and processing electronic medical records (EMR) coupled with increasing computer capabilities have resulted in an increased interest in the use of big data in health care. Ophthalmology has been an area of focus where results have shown to be promising. The objective of this study was to determine whether the EMR at a multi-tier ophthalmology network in India can contribute to the management of patient care, through studying how climatic and socio-demographic factors relate to eye disorders and visual impairment in the State of Telangana.

Methods: …