Monitoring and Management of Home-Quarantined Patients With COVID-19 Using a WeChat-Based Telemedicine System: Retrospective Cohort Study.


Journal

Journal of medical Internet research
ISSN: 1438-8871
Titre abrégé: J Med Internet Res
Pays: Canada
ID NLM: 100959882

Informations de publication

Date de publication:
02 07 2020
Historique:
received: 21 04 2020
accepted: 21 06 2020
pubmed: 23 6 2020
medline: 15 7 2020
entrez: 23 6 2020
Statut: epublish

Résumé

Most patients with coronavirus disease (COVID-19) who show mild symptoms are sent home by physicians to recover. However, the condition of some of these patients becomes severe or critical as the disease progresses. The aim of this study was to evaluate a telemedicine model that was developed to address the challenges of treating patients with progressive COVID-19 who are home-quarantined and shortages in the medical workforce. A telemedicine system was developed to continuously monitor the progression of home-quarantined patients with COVID-19. The system was built based on a popular social media smartphone app called WeChat; the app was used to establish two-way communication between a multidisciplinary team consisting of 7 medical workers and 188 home-quarantined individuals (including 74 confirmed patients with COVID-19). The system helped patients self-assess their conditions and update the multidisciplinary team through a telemedicine form stored on a cloud service, based on which the multidisciplinary team made treatment decisions. We evaluated this telemedicine system via a single-center retrospective study conducted at Tongji Hospital in Wuhan, China, in January 2020. Among 188 individuals using the telemedicine system, 114 (60.6%) were not infected with COVID-19 and were dismissed. Of the 74 confirmed patients with COVID-19, 26 (35%) recovered during the study period and voluntarily stopped using the system. The remaining 48/76 confirmed patients with COVID-19 (63%) used the system until the end of the study, including 6 patients whose conditions progressed to severe or critical. These 6 patients were admitted to hospital and were stabilized (one received extracorporeal membrane oxygenation support for 17 days). All 74 patients with COVID-19 eventually recovered. Through a comparison of the monitored symptoms between hospitalized and nonhospitalized patients, we found prolonged persistence and deterioration of fever, dyspnea, lack of strength, and muscle soreness to be diagnostic of need for hospitalization. By continuously monitoring the changes in several key symptoms, the telemedicine system reduces the risks of delayed hospitalization due to disease progression for patients with COVID-19 quarantined at home. The system uses a set of scales for quarantine management assessment that enables patients to self-assess their conditions. The results are useful for medical staff to identify disease progression and, hence, make appropriate and timely treatment decisions. The system requires few staff to manage a large cohort of patients. In addition, the system can solicit help from recovered but self-quarantined medical workers to alleviate shortages in the medical workforce and free healthy medical workers to fight COVID-19 on the front line. Thus, it optimizes the usage of local medical resources and prevents cross-infections among medical workers and patients.

Sections du résumé

BACKGROUND
Most patients with coronavirus disease (COVID-19) who show mild symptoms are sent home by physicians to recover. However, the condition of some of these patients becomes severe or critical as the disease progresses.
OBJECTIVE
The aim of this study was to evaluate a telemedicine model that was developed to address the challenges of treating patients with progressive COVID-19 who are home-quarantined and shortages in the medical workforce.
METHODS
A telemedicine system was developed to continuously monitor the progression of home-quarantined patients with COVID-19. The system was built based on a popular social media smartphone app called WeChat; the app was used to establish two-way communication between a multidisciplinary team consisting of 7 medical workers and 188 home-quarantined individuals (including 74 confirmed patients with COVID-19). The system helped patients self-assess their conditions and update the multidisciplinary team through a telemedicine form stored on a cloud service, based on which the multidisciplinary team made treatment decisions. We evaluated this telemedicine system via a single-center retrospective study conducted at Tongji Hospital in Wuhan, China, in January 2020.
RESULTS
Among 188 individuals using the telemedicine system, 114 (60.6%) were not infected with COVID-19 and were dismissed. Of the 74 confirmed patients with COVID-19, 26 (35%) recovered during the study period and voluntarily stopped using the system. The remaining 48/76 confirmed patients with COVID-19 (63%) used the system until the end of the study, including 6 patients whose conditions progressed to severe or critical. These 6 patients were admitted to hospital and were stabilized (one received extracorporeal membrane oxygenation support for 17 days). All 74 patients with COVID-19 eventually recovered. Through a comparison of the monitored symptoms between hospitalized and nonhospitalized patients, we found prolonged persistence and deterioration of fever, dyspnea, lack of strength, and muscle soreness to be diagnostic of need for hospitalization.
CONCLUSIONS
By continuously monitoring the changes in several key symptoms, the telemedicine system reduces the risks of delayed hospitalization due to disease progression for patients with COVID-19 quarantined at home. The system uses a set of scales for quarantine management assessment that enables patients to self-assess their conditions. The results are useful for medical staff to identify disease progression and, hence, make appropriate and timely treatment decisions. The system requires few staff to manage a large cohort of patients. In addition, the system can solicit help from recovered but self-quarantined medical workers to alleviate shortages in the medical workforce and free healthy medical workers to fight COVID-19 on the front line. Thus, it optimizes the usage of local medical resources and prevents cross-infections among medical workers and patients.

Identifiants

pubmed: 32568727
pii: v22i7e19514
doi: 10.2196/19514
pmc: PMC7333794
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

e19514

Informations de copyright

©Hui Xu, Sufang Huang, Chun Qiu, Shangkun Liu, Juan Deng, Bo Jiao, Xi Tan, Ling Ai, Yaru Xiao, Mirko Belliato, Li Yan. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 02.07.2020.

Références

N Engl J Med. 2020 Mar 26;382(13):1199-1207
pubmed: 31995857
N Engl J Med. 2020 Feb 20;382(8):727-733
pubmed: 31978945
N Engl J Med. 2020 Apr 30;382(18):1708-1720
pubmed: 32109013
N Engl J Med. 2020 Feb 27;382(9):872-874
pubmed: 31991079
Zhonghua Jie He He Hu Xi Za Zhi. 2020 Mar 12;43(3):203-208
pubmed: 32164089
JAMA. 2020 Feb 7;:
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N Engl J Med. 2020 May 21;382(21):1973-1975
pubmed: 32202721
Lancet. 2020 Feb 15;395(10223):497-506
pubmed: 31986264
Telemed J E Health. 2020 Apr;26(4):487-494
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Lancet. 2020 Feb 15;395(10223):507-513
pubmed: 32007143

Auteurs

Hui Xu (H)

Department of Anesthesiology, Tongji Hospital of Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.

Sufang Huang (S)

Department of Emergency Medicine, Tongji Hospital of Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.

Chun Qiu (C)

Lazaridis School of Business and Economics, Wilfrid Laurier University, Waterloo, ON, Canada.

Shangkun Liu (S)

Department of Anesthesiology, Tongji Hospital of Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.

Juan Deng (J)

Department of Emergency Medicine, Tongji Hospital of Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.

Bo Jiao (B)

Department of Anesthesiology, Tongji Hospital of Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.

Xi Tan (X)

Department of Anesthesiology, Tongji Hospital of Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.

Ling Ai (L)

Department of Anesthesiology, Tongji Hospital of Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.

Yaru Xiao (Y)

Department of Emergency Medicine, Tongji Hospital of Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.

Mirko Belliato (M)

Anestesia e Rianimazione 1, Foundation IRCCS Policlinico San Matteo, Pavia, Italy.

Li Yan (L)

Department of Emergency Medicine, Tongji Hospital of Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.

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