Cargando…
Interpreting COVID-19 and Virtual Care Trends: Cohort Study
BACKGROUND: The coronavirus disease (COVID-19) pandemic is rapidly spreading across the world. As of March 26, 2020, there are more than 500,000 cases and more than 25,000 deaths related to COVID-19, and the numbers are increasing by the hour. OBJECTIVE: The aim of this study was to explore the tren...
Autores principales: | , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
JMIR Publications
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7162649/ https://www.ncbi.nlm.nih.gov/pubmed/32252023 http://dx.doi.org/10.2196/18811 |
_version_ | 1783523072485097472 |
---|---|
author | Khairat, Saif Meng, Chenlu Xu, Yuxuan Edson, Barbara Gianforcaro, Robert |
author_facet | Khairat, Saif Meng, Chenlu Xu, Yuxuan Edson, Barbara Gianforcaro, Robert |
author_sort | Khairat, Saif |
collection | PubMed |
description | BACKGROUND: The coronavirus disease (COVID-19) pandemic is rapidly spreading across the world. As of March 26, 2020, there are more than 500,000 cases and more than 25,000 deaths related to COVID-19, and the numbers are increasing by the hour. OBJECTIVE: The aim of this study was to explore the trends in confirmed COVID-19 cases in North Carolina, and to understand patterns in virtual visits related to symptoms of COVID-19. METHODS: We conducted a cohort study of confirmed COVID-19 cases and patients using an on-demand, statewide virtual urgent care center. We collected data from February 1, 2020, to March 15, 2020. Institutional Review Board exemption was obtained prior to the study. RESULTS: As of March, 18 2020, there were 92 confirmed COVID-19 cases and 733 total virtual visits. Of the total visits, 257 (35.1%) were related to COVID-19-like symptoms. Of the COVID-19-like visits, the number of females was 178 (69.2%). People in the age groups of 30-39 years (n=67, 26.1%) and 40-49 years (n=64, 24.9%) were half of the total patients. Additionally, approximately 96.9% (n=249) of the COVID-like encounters came from within the state of North Carolina. Our study shows that virtual care can provide efficient triaging in the counties with the highest number of COVID-19 cases. We also confirmed that the largest spread of the disease occurs in areas with a high population density as well as in areas with major airports. CONCLUSIONS: The use of virtual care presents promising potential in the fight against COVID-19. Virtual care is capable of reducing emergency room visits, conserving health care resources, and avoiding the spread of COVID-19 by treating patients remotely. We call for further adoption of virtual care by health systems across the United States and the world during the COVID-19 pandemic. |
format | Online Article Text |
id | pubmed-7162649 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | JMIR Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-71626492020-04-22 Interpreting COVID-19 and Virtual Care Trends: Cohort Study Khairat, Saif Meng, Chenlu Xu, Yuxuan Edson, Barbara Gianforcaro, Robert JMIR Public Health Surveill Original Paper BACKGROUND: The coronavirus disease (COVID-19) pandemic is rapidly spreading across the world. As of March 26, 2020, there are more than 500,000 cases and more than 25,000 deaths related to COVID-19, and the numbers are increasing by the hour. OBJECTIVE: The aim of this study was to explore the trends in confirmed COVID-19 cases in North Carolina, and to understand patterns in virtual visits related to symptoms of COVID-19. METHODS: We conducted a cohort study of confirmed COVID-19 cases and patients using an on-demand, statewide virtual urgent care center. We collected data from February 1, 2020, to March 15, 2020. Institutional Review Board exemption was obtained prior to the study. RESULTS: As of March, 18 2020, there were 92 confirmed COVID-19 cases and 733 total virtual visits. Of the total visits, 257 (35.1%) were related to COVID-19-like symptoms. Of the COVID-19-like visits, the number of females was 178 (69.2%). People in the age groups of 30-39 years (n=67, 26.1%) and 40-49 years (n=64, 24.9%) were half of the total patients. Additionally, approximately 96.9% (n=249) of the COVID-like encounters came from within the state of North Carolina. Our study shows that virtual care can provide efficient triaging in the counties with the highest number of COVID-19 cases. We also confirmed that the largest spread of the disease occurs in areas with a high population density as well as in areas with major airports. CONCLUSIONS: The use of virtual care presents promising potential in the fight against COVID-19. Virtual care is capable of reducing emergency room visits, conserving health care resources, and avoiding the spread of COVID-19 by treating patients remotely. We call for further adoption of virtual care by health systems across the United States and the world during the COVID-19 pandemic. JMIR Publications 2020-04-15 /pmc/articles/PMC7162649/ /pubmed/32252023 http://dx.doi.org/10.2196/18811 Text en ©Saif Khairat, Chenlu Meng, Yuxuan Xu, Barbara Edson, Robert Gianforcaro. Originally published in JMIR Public Health and Surveillance (http://publichealth.jmir.org), 15.04.2020. https://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Public Health and Surveillance, is properly cited. The complete bibliographic information, a link to the original publication on http://publichealth.jmir.org, as well as this copyright and license information must be included. |
spellingShingle | Original Paper Khairat, Saif Meng, Chenlu Xu, Yuxuan Edson, Barbara Gianforcaro, Robert Interpreting COVID-19 and Virtual Care Trends: Cohort Study |
title | Interpreting COVID-19 and Virtual Care Trends: Cohort Study |
title_full | Interpreting COVID-19 and Virtual Care Trends: Cohort Study |
title_fullStr | Interpreting COVID-19 and Virtual Care Trends: Cohort Study |
title_full_unstemmed | Interpreting COVID-19 and Virtual Care Trends: Cohort Study |
title_short | Interpreting COVID-19 and Virtual Care Trends: Cohort Study |
title_sort | interpreting covid-19 and virtual care trends: cohort study |
topic | Original Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7162649/ https://www.ncbi.nlm.nih.gov/pubmed/32252023 http://dx.doi.org/10.2196/18811 |
work_keys_str_mv | AT khairatsaif interpretingcovid19andvirtualcaretrendscohortstudy AT mengchenlu interpretingcovid19andvirtualcaretrendscohortstudy AT xuyuxuan interpretingcovid19andvirtualcaretrendscohortstudy AT edsonbarbara interpretingcovid19andvirtualcaretrendscohortstudy AT gianforcarorobert interpretingcovid19andvirtualcaretrendscohortstudy |