Effectiveness of Telemedicine in Diabetes Management: A Retrospective Study in an Urban Medically Underserved Population Area (UMUPA)
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 record...
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MDPI AG
2023-01-01
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Online Access: | https://www.mdpi.com/2227-9709/10/1/16 |
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author | Lisa Ariellah Ward Gulzar H. Shah Jeffery A. Jones Linda Kimsey Hani Samawi |
author_facet | Lisa Ariellah Ward Gulzar H. Shah Jeffery A. Jones Linda Kimsey Hani Samawi |
author_sort | Lisa Ariellah Ward |
collection | DOAJ |
description | 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 (B = −0.339, <i>p</i> < 0.001), suggesting that patients using TM were likely to have 0.34 lower HbA1c % values on average when compared with F2F visits. The regression coefficient for female (vs. male) gender showed a positive association (B = 0.190, <i>p</i> < 0.034), with HbA1c % levels showing that female patients had 0.19 higher HbA1c levels than males. Age (B = −0.026, <i>p</i> < 0.001) was a significant predictor of HbA1c % levels, with 0.026 lower HbA1c % levels for each year’s increase in age. Black adults (B = 0.888, <i>p</i> < 0.001), on average, were more likely to have 0.888 higher HbA1c % levels when compared with White adults. |
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issn | 2227-9709 |
language | English |
last_indexed | 2024-03-11T06:24:21Z |
publishDate | 2023-01-01 |
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spelling | doaj.art-b6b8936a2bb14519b6b6c7161d4244f02023-11-17T11:43:25ZengMDPI AGInformatics2227-97092023-01-011011610.3390/informatics10010016Effectiveness of Telemedicine in Diabetes Management: A Retrospective Study in an Urban Medically Underserved Population Area (UMUPA)Lisa Ariellah Ward0Gulzar H. Shah1Jeffery A. Jones2Linda Kimsey3Hani Samawi4Department of Health Policy and Community Health, Jiann-Ping Hsu College of Public Health, Georgia Southern University, Statesboro, GA 30460, USADepartment of Health Policy and Community Health, Jiann-Ping Hsu College of Public Health, Georgia Southern University, Statesboro, GA 30460, USADepartment of Health Policy and Community Health, Jiann-Ping Hsu College of Public Health, Georgia Southern University, Statesboro, GA 30460, USADepartment of Health Policy and Community Health, Jiann-Ping Hsu College of Public Health, Georgia Southern University, Statesboro, GA 30460, USADepartment of Biostatistics, Epidemiology and Environmental Health Sciences, Jiann-Ping Hsu College of Public Health, Georgia Southern University, Statesboro, GA 30460, USAThis 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 (B = −0.339, <i>p</i> < 0.001), suggesting that patients using TM were likely to have 0.34 lower HbA1c % values on average when compared with F2F visits. The regression coefficient for female (vs. male) gender showed a positive association (B = 0.190, <i>p</i> < 0.034), with HbA1c % levels showing that female patients had 0.19 higher HbA1c levels than males. Age (B = −0.026, <i>p</i> < 0.001) was a significant predictor of HbA1c % levels, with 0.026 lower HbA1c % levels for each year’s increase in age. Black adults (B = 0.888, <i>p</i> < 0.001), on average, were more likely to have 0.888 higher HbA1c % levels when compared with White adults.https://www.mdpi.com/2227-9709/10/1/16telemedicinetelehealthhealthcareinformation technologyelectronic health recordsclinical informatics |
spellingShingle | Lisa Ariellah Ward Gulzar H. Shah Jeffery A. Jones Linda Kimsey Hani Samawi Effectiveness of Telemedicine in Diabetes Management: A Retrospective Study in an Urban Medically Underserved Population Area (UMUPA) Informatics telemedicine telehealth healthcare information technology electronic health records clinical informatics |
title | Effectiveness of Telemedicine in Diabetes Management: A Retrospective Study in an Urban Medically Underserved Population Area (UMUPA) |
title_full | Effectiveness of Telemedicine in Diabetes Management: A Retrospective Study in an Urban Medically Underserved Population Area (UMUPA) |
title_fullStr | Effectiveness of Telemedicine in Diabetes Management: A Retrospective Study in an Urban Medically Underserved Population Area (UMUPA) |
title_full_unstemmed | Effectiveness of Telemedicine in Diabetes Management: A Retrospective Study in an Urban Medically Underserved Population Area (UMUPA) |
title_short | Effectiveness of Telemedicine in Diabetes Management: A Retrospective Study in an Urban Medically Underserved Population Area (UMUPA) |
title_sort | effectiveness of telemedicine in diabetes management a retrospective study in an urban medically underserved population area umupa |
topic | telemedicine telehealth healthcare information technology electronic health records clinical informatics |
url | https://www.mdpi.com/2227-9709/10/1/16 |
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