Assessment of Internet Hospitals in China During the COVID-19 Pandemic: National Cross-Sectional Data Analysis 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:
20 01 2021
Historique:
received: 29 09 2020
accepted: 03 12 2020
revised: 14 11 2020
pubmed: 9 1 2021
medline: 30 1 2021
entrez: 8 1 2021
Statut: epublish

Résumé

Internet hospitals in China are being rapidly developed as an innovative approach to providing health services. The ongoing COVID-19 pandemic has triggered the development of internet hospitals that promote outpatient service delivery to the public via internet technologies. To date, no studies have assessed China's internet hospitals during the COVID-19 pandemic. This study aimed to elucidate the characteristics of China's internet hospitals and assess the health service capacity of these hospitals. Data on 711 internet hospitals were collected from official websites, the WeChat (Tencent Inc) platform, smartphone apps, and the Baidu search engine until July 16, 2020. As of July 16, 2020, 711 internet hospitals were developed in mainland China. More than half of these internet hospitals (421/711, 59.2%) were established during 2019 (206/711, 29%) and 2020 (215/711, 30.2%). Furthermore, about one-third (215/711, 30.2%) of internet hospitals were established at the beginning of 2020 as an emergency response to the COVID-19 epidemic. The 711 internet hospitals consisted of the following 3 types of hospitals: government-oriented (42/711, 5.91%), hospital-oriented (143/711, 20.11%), and enterprise-oriented internet hospitals (526/711, 73.98%). The vast majority of internet hospitals were traditional hospitals (526/711, 74%). Nearly 46.1% (221/711) of internet hospitals requested doctors to provide health services at a specific web clinic. Most patients (224/639, 35.1%) accessed outpatient services via WeChat. Internet hospitals' consulting methods included SMS text messaging consultations involving the use of graphics (552/570, 96.8%), video consultations (248/570, 43.5%), and telephone consultations (238/570, 41.8%). The median number of available web-based doctors was 43, and the median consultation fees of fever clinics and other outpatient clinics were ¥0 (US $0) per consultation and ¥6 (US $0.93) per consultation, respectively. Internet hospitals have provided various services during the COVID-19 pandemic, including medical prescription, drug delivery, and medical insurance services. The dramatic increase of internet hospitals in China has played an important role in the prevention and control of COVID-19. Internet hospitals provide different and convenient medical services for people in need.

Sections du résumé

BACKGROUND
Internet hospitals in China are being rapidly developed as an innovative approach to providing health services. The ongoing COVID-19 pandemic has triggered the development of internet hospitals that promote outpatient service delivery to the public via internet technologies. To date, no studies have assessed China's internet hospitals during the COVID-19 pandemic.
OBJECTIVE
This study aimed to elucidate the characteristics of China's internet hospitals and assess the health service capacity of these hospitals.
METHODS
Data on 711 internet hospitals were collected from official websites, the WeChat (Tencent Inc) platform, smartphone apps, and the Baidu search engine until July 16, 2020.
RESULTS
As of July 16, 2020, 711 internet hospitals were developed in mainland China. More than half of these internet hospitals (421/711, 59.2%) were established during 2019 (206/711, 29%) and 2020 (215/711, 30.2%). Furthermore, about one-third (215/711, 30.2%) of internet hospitals were established at the beginning of 2020 as an emergency response to the COVID-19 epidemic. The 711 internet hospitals consisted of the following 3 types of hospitals: government-oriented (42/711, 5.91%), hospital-oriented (143/711, 20.11%), and enterprise-oriented internet hospitals (526/711, 73.98%). The vast majority of internet hospitals were traditional hospitals (526/711, 74%). Nearly 46.1% (221/711) of internet hospitals requested doctors to provide health services at a specific web clinic. Most patients (224/639, 35.1%) accessed outpatient services via WeChat. Internet hospitals' consulting methods included SMS text messaging consultations involving the use of graphics (552/570, 96.8%), video consultations (248/570, 43.5%), and telephone consultations (238/570, 41.8%). The median number of available web-based doctors was 43, and the median consultation fees of fever clinics and other outpatient clinics were ¥0 (US $0) per consultation and ¥6 (US $0.93) per consultation, respectively. Internet hospitals have provided various services during the COVID-19 pandemic, including medical prescription, drug delivery, and medical insurance services.
CONCLUSIONS
The dramatic increase of internet hospitals in China has played an important role in the prevention and control of COVID-19. Internet hospitals provide different and convenient medical services for people in need.

Identifiants

pubmed: 33417586
pii: v23i1e21825
doi: 10.2196/21825
pmc: PMC7819672
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

e21825

Informations de copyright

©Xingyan Xu, Yingying Cai, Siying Wu, Jianhui Guo, Le Yang, Jieli Lan, Yi Sun, Bingbing Wang, Jieyu Wu, Tinggui Wang, Shuna Huang, Yawen Lin, Yuduan Hu, Mingjun Chen, Xuecai Gao, Xiaoxu Xie. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 20.01.2021.

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Auteurs

Xingyan Xu (X)

Department of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Fuzhou, China.

Yingying Cai (Y)

Department of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Fuzhou, China.

Siying Wu (S)

Department of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Fuzhou, China.

Jianhui Guo (J)

Department of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Fuzhou, China.

Le Yang (L)

Department of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Fuzhou, China.

Jieli Lan (J)

Department of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Fuzhou, China.

Yi Sun (Y)

Department of Preventive Medicine, School of Public Health, Fujian Medical University, Fuzhou, China.

Bingbing Wang (B)

Department of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Fuzhou, China.

Jieyu Wu (J)

Department of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Fuzhou, China.

Tinggui Wang (T)

Department of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Fuzhou, China.

Shuna Huang (S)

Department of Clinical Research and Translation Center Office, The First Affiliated Hospital of Fujian Medical University, Fuzhou, China.

Yawen Lin (Y)

Department of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Fuzhou, China.

Yuduan Hu (Y)

Department of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Fuzhou, China.

Mingjun Chen (M)

Department of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Fuzhou, China.

Xuecai Gao (X)

Department of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Fuzhou, China.

Xiaoxu Xie (X)

Department of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Fuzhou, China.

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