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Patient Characteristics of VA Telehealth Users During Hurricane Harvey

Introduction: Research on patient characteristics of telehealth users is relatively new. More studies are needed to understand the characteristics of telehealth users during disasters. This study attempts to bridge this gap and examines patient characteristics of telehealth users compared with nonte...

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Autores principales: Der-Martirosian, Claudia, Heyworth, Leonie, Chu, Karen, Mudoh, Yvonne, Dobalian, Aram
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7278288/
https://www.ncbi.nlm.nih.gov/pubmed/32507009
http://dx.doi.org/10.1177/2150132720931715
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author Der-Martirosian, Claudia
Heyworth, Leonie
Chu, Karen
Mudoh, Yvonne
Dobalian, Aram
author_facet Der-Martirosian, Claudia
Heyworth, Leonie
Chu, Karen
Mudoh, Yvonne
Dobalian, Aram
author_sort Der-Martirosian, Claudia
collection PubMed
description Introduction: Research on patient characteristics of telehealth users is relatively new. More studies are needed to understand the characteristics of telehealth users during disasters. This study attempts to bridge this gap and examines patient characteristics of telehealth users compared with nontelehealth users at the Houston VA Medical Center (VAMC) immediately before and after Hurricane Harvey (2017). Methods: Since use of telehealth services reached its peak and gradually declined within 2 weeks after the landfall, the data analyses focused on 14 days before/14 days after Harvey. Two sets of analyses were conducted using chi-square, t test, and one-way analysis of variance: (1) Patient characteristics of telehealth users were compared with nontelehealth users. (2) Patient characteristics were compared between 3 subgroups of telehealth users. Results: Compared with nontelehealth users, telehealth users were older (mean age: 60.8 vs 58.5 years, P < .001) and had a higher mean Nosos health risk score (1.9 vs 1.4, P < .001). They also had a higher mean number of outpatient visits (28.0 vs 19.8, P < .001), higher emergency room use (37% vs 29%, P < .001), and higher rates of hospitalizations (21% vs 13%, P < .001) during the 12 months before Harvey. When compared to less frequent telehealth users, the most frequent telehealth users were the oldest and most medically complex patients. Conclusions: As the largest integrated health care system in the United States, the VA has many advantages favoring successful implementation of telehealth services during disasters. However, more research is needed to better understand how VA telehealth could meet the varying needs of veterans to lower risk of harm during differing types of disasters.
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spelling pubmed-72782882020-06-17 Patient Characteristics of VA Telehealth Users During Hurricane Harvey Der-Martirosian, Claudia Heyworth, Leonie Chu, Karen Mudoh, Yvonne Dobalian, Aram J Prim Care Community Health Original Research Introduction: Research on patient characteristics of telehealth users is relatively new. More studies are needed to understand the characteristics of telehealth users during disasters. This study attempts to bridge this gap and examines patient characteristics of telehealth users compared with nontelehealth users at the Houston VA Medical Center (VAMC) immediately before and after Hurricane Harvey (2017). Methods: Since use of telehealth services reached its peak and gradually declined within 2 weeks after the landfall, the data analyses focused on 14 days before/14 days after Harvey. Two sets of analyses were conducted using chi-square, t test, and one-way analysis of variance: (1) Patient characteristics of telehealth users were compared with nontelehealth users. (2) Patient characteristics were compared between 3 subgroups of telehealth users. Results: Compared with nontelehealth users, telehealth users were older (mean age: 60.8 vs 58.5 years, P < .001) and had a higher mean Nosos health risk score (1.9 vs 1.4, P < .001). They also had a higher mean number of outpatient visits (28.0 vs 19.8, P < .001), higher emergency room use (37% vs 29%, P < .001), and higher rates of hospitalizations (21% vs 13%, P < .001) during the 12 months before Harvey. When compared to less frequent telehealth users, the most frequent telehealth users were the oldest and most medically complex patients. Conclusions: As the largest integrated health care system in the United States, the VA has many advantages favoring successful implementation of telehealth services during disasters. However, more research is needed to better understand how VA telehealth could meet the varying needs of veterans to lower risk of harm during differing types of disasters. SAGE Publications 2020-06-06 /pmc/articles/PMC7278288/ /pubmed/32507009 http://dx.doi.org/10.1177/2150132720931715 Text en © The Author(s) 2020 https://creativecommons.org/licenses/by-nc/4.0/ This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage).
spellingShingle Original Research
Der-Martirosian, Claudia
Heyworth, Leonie
Chu, Karen
Mudoh, Yvonne
Dobalian, Aram
Patient Characteristics of VA Telehealth Users During Hurricane Harvey
title Patient Characteristics of VA Telehealth Users During Hurricane Harvey
title_full Patient Characteristics of VA Telehealth Users During Hurricane Harvey
title_fullStr Patient Characteristics of VA Telehealth Users During Hurricane Harvey
title_full_unstemmed Patient Characteristics of VA Telehealth Users During Hurricane Harvey
title_short Patient Characteristics of VA Telehealth Users During Hurricane Harvey
title_sort patient characteristics of va telehealth users during hurricane harvey
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7278288/
https://www.ncbi.nlm.nih.gov/pubmed/32507009
http://dx.doi.org/10.1177/2150132720931715
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