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A Community-Based Model of Care During the Fourth Wave of the COVID-19 Outbreak in Ho Chi Minh City, Vietnam
In response to a call for help during a surge in coronavirus disease-19 (COVID-19) cases in Ho Chi Minh City in July 2021, the University of Medicine and Pharmacy at Ho Chi Minh City developed and implemented a community care model for the management of patients with COVID-19. This was based on thre...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9037370/ https://www.ncbi.nlm.nih.gov/pubmed/35481282 http://dx.doi.org/10.3389/frai.2022.831841 |
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author | Vuong, Lan N. Huynh, Nghia Ngo, Dat Q. Nguyen, Vinh N. Duong, Khoa D. Tran, Nguyen N. Le, Truyen P. Nguyen, Nghia A. Doan, Thao T. P. Pham, Duy L. Trinh, Tu H. K. Vu, Quan T. T. Nguyen, Phong H. Tran, Tuan D. |
author_facet | Vuong, Lan N. Huynh, Nghia Ngo, Dat Q. Nguyen, Vinh N. Duong, Khoa D. Tran, Nguyen N. Le, Truyen P. Nguyen, Nghia A. Doan, Thao T. P. Pham, Duy L. Trinh, Tu H. K. Vu, Quan T. T. Nguyen, Phong H. Tran, Tuan D. |
author_sort | Vuong, Lan N. |
collection | PubMed |
description | In response to a call for help during a surge in coronavirus disease-19 (COVID-19) cases in Ho Chi Minh City in July 2021, the University of Medicine and Pharmacy at Ho Chi Minh City developed and implemented a community care model for the management of patients with COVID-19. This was based on three main principles: home care; providing monitoring and care at a distance; and providing timely emergency care if needed. One team supported patients at home with frequent contacts and remote monitoring, while a second team transferred and cared for patients requiring treatment at field emergency care facilities. COVID-19-related mortality rates at the two districts where this approach was implemented (0.43% and 0.57%) were substantially lower than the overall rate in Ho Chi Minh City over the same period (4.95%). Thus, utilization of a community care model can increase the number of patients with COVID-19 who can be effectively managed from home, and use of field emergency care facilities limited the number of patients that had to be referred for tertiary care. Importantly, the community care model also markedly reduced the mortality rate compared with traditional methods of COVID-19 patient management. |
format | Online Article Text |
id | pubmed-9037370 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-90373702022-04-26 A Community-Based Model of Care During the Fourth Wave of the COVID-19 Outbreak in Ho Chi Minh City, Vietnam Vuong, Lan N. Huynh, Nghia Ngo, Dat Q. Nguyen, Vinh N. Duong, Khoa D. Tran, Nguyen N. Le, Truyen P. Nguyen, Nghia A. Doan, Thao T. P. Pham, Duy L. Trinh, Tu H. K. Vu, Quan T. T. Nguyen, Phong H. Tran, Tuan D. Front Artif Intell Artificial Intelligence In response to a call for help during a surge in coronavirus disease-19 (COVID-19) cases in Ho Chi Minh City in July 2021, the University of Medicine and Pharmacy at Ho Chi Minh City developed and implemented a community care model for the management of patients with COVID-19. This was based on three main principles: home care; providing monitoring and care at a distance; and providing timely emergency care if needed. One team supported patients at home with frequent contacts and remote monitoring, while a second team transferred and cared for patients requiring treatment at field emergency care facilities. COVID-19-related mortality rates at the two districts where this approach was implemented (0.43% and 0.57%) were substantially lower than the overall rate in Ho Chi Minh City over the same period (4.95%). Thus, utilization of a community care model can increase the number of patients with COVID-19 who can be effectively managed from home, and use of field emergency care facilities limited the number of patients that had to be referred for tertiary care. Importantly, the community care model also markedly reduced the mortality rate compared with traditional methods of COVID-19 patient management. Frontiers Media S.A. 2022-04-04 /pmc/articles/PMC9037370/ /pubmed/35481282 http://dx.doi.org/10.3389/frai.2022.831841 Text en Copyright © 2022 Vuong, Huynh, Ngo, Nguyen, Duong, Tran, Le, Nguyen, Doan, Pham, Trinh, Vu, Nguyen and Tran. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Artificial Intelligence Vuong, Lan N. Huynh, Nghia Ngo, Dat Q. Nguyen, Vinh N. Duong, Khoa D. Tran, Nguyen N. Le, Truyen P. Nguyen, Nghia A. Doan, Thao T. P. Pham, Duy L. Trinh, Tu H. K. Vu, Quan T. T. Nguyen, Phong H. Tran, Tuan D. A Community-Based Model of Care During the Fourth Wave of the COVID-19 Outbreak in Ho Chi Minh City, Vietnam |
title | A Community-Based Model of Care During the Fourth Wave of the COVID-19 Outbreak in Ho Chi Minh City, Vietnam |
title_full | A Community-Based Model of Care During the Fourth Wave of the COVID-19 Outbreak in Ho Chi Minh City, Vietnam |
title_fullStr | A Community-Based Model of Care During the Fourth Wave of the COVID-19 Outbreak in Ho Chi Minh City, Vietnam |
title_full_unstemmed | A Community-Based Model of Care During the Fourth Wave of the COVID-19 Outbreak in Ho Chi Minh City, Vietnam |
title_short | A Community-Based Model of Care During the Fourth Wave of the COVID-19 Outbreak in Ho Chi Minh City, Vietnam |
title_sort | community-based model of care during the fourth wave of the covid-19 outbreak in ho chi minh city, vietnam |
topic | Artificial Intelligence |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9037370/ https://www.ncbi.nlm.nih.gov/pubmed/35481282 http://dx.doi.org/10.3389/frai.2022.831841 |
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