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Full-Text Articles in Medicine and Health Sciences
Clinical And Demographic Attributes Of Patients With Diabetes Associated With The Utilization Of Telemedicine In An Urban Medically Underserved Population Area, Lisa Ariellah Ward, Gulzar H. Shah, Kristie C. Waterfield
Clinical And Demographic Attributes Of Patients With Diabetes Associated With The Utilization Of Telemedicine In An Urban Medically Underserved Population Area, Lisa Ariellah Ward, Gulzar H. Shah, Kristie C. Waterfield
Department of Health Policy and Community Health Faculty Publications
Marginalized populations often experience health disparities due to the significant obstacles to care associated with social, economic, and environmental inequities. When compared with advantaged social groups, these populations frequently experience increased risks, poorer health outcomes, and reduced quality of life (QoL). This research examines the clinical and demographic characteristics—age, gender, and race—related to patients with varying stages of type 2 diabetes mellitus (T2DM), comparing the utilization of telemedicine (TM) with traditional healthcare face-to-face (F2F) appointments in an urban medically underserved population area (UMUPA). A logistic regression model, was used to analyze retrospective electronic patient health records (EHRs) from 1 January …
Effectiveness Of Telemedicine In Diabetes Management: A Retrospective Study In An Urban Medically Underserved Population Area (Umupa), Lisa Ariellah Ward, Gulzar H. Shah, Jeffery A. Jones, Linda Kimsey, Hani M. Samawi
Effectiveness Of Telemedicine In Diabetes Management: A Retrospective Study In An Urban Medically Underserved Population Area (Umupa), Lisa Ariellah Ward, Gulzar H. Shah, Jeffery A. Jones, Linda Kimsey, Hani M. Samawi
Department of Health Policy and Community Health Faculty Publications
This paper examines the efficacy of telemedicine (TM) technology compared to traditional face-to-face (F2F) visits as an alternative healthcare delivery service for managing diabetes in populations residing in urban medically underserved areas (UMUPAs). Retrospective electronic patient health records (ePHR) with type 2 diabetes mellitus (T2DM) were examined from 1 January 2019 to 30 June 2021. Multiple linear regression models indicated that T2DM patients with uncontrolled diabetes utilizing TM were similar to traditional visits in lowering hemoglobin (HbA1c) levels. The healthcare service type significantly predicted HbA1c % values, as the regression coefficient for TM (vs. F2F) showed a significant negative association …