Evidence map›Paper›PMID 33141679›Full record

ArticleJournal of medical Internet research2020

Digital Health Technologies Respond to the COVID-19 Pandemic In a Tertiary Hospital in China: Development and Usability Study.

Wanmin Lian, Li Wen, Qiru Zhou, Weijie Zhu, Wenzhou Duan, Xiongzhi Xiao, Florence Mhungu, Wenchen Huang, Chongchong Li, Weibin Cheng and 1 more

Open access · goldAbstract read
In one paragraph

Article in Journal of medical Internet research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 2 pooled it
4.7field-weighted citation impact, top 4% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

23 citing papers in PubMed, 2 syntheses or guidelines pooled it, 36 citations in OpenAlex.

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  4. The feasibility of M-health for people with chronic low back pain in Shanghai, China: A qualitative study.Hong Kong physiotherapy journal : official publication of the Hong Kong Physiotherapy Association Limited = Wu li chih liao · 2025
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors at 2 institutions in 1 country.

Wanmin Lian *Information Department, Guangdong Second Provincial General Hospital, Guangzhou, China.ORCID 0000-0002-9278-9998
Li Wen *Information Department, Guangdong Second Provincial General Hospital, Guangzhou, China.ORCID 0000-0002-0360-7030
Qiru ZhouInternet Hospital, Guangdong Second Provincial General Hospital, Guangzhou, China.ORCID 0000-0001-5915-271X
Weijie ZhuInformation Department, Guangdong Second Provincial General Hospital, Guangzhou, China.ORCID 0000-0002-4109-4360
Wenzhou DuanInformation Department, Guangdong Second Provincial General Hospital, Guangzhou, China.ORCID 0000-0002-9767-345X
Xiongzhi XiaoInformation Department, Guangdong Second Provincial General Hospital, Guangzhou, China.ORCID 0000-0001-7292-0541
Florence MhunguDepartment of Toxicology, School of Public Health, Southern Medical University, Guangzhou, China.ORCID 0000-0001-7968-3040
Wenchen HuangDott Medical Co Ltd, Shenzhen, China.ORCID 0000-0002-2889-9674
Chongchong LiBeijing Rxthinking Technology Co Ltd, Beijing, China.ORCID 0000-0002-9183-3301
Weibin ChengInstitute for Healthcare Artificial Intelligence Application, Guangdong Second Provincial General Hospital, Guangzhou, China.ORCID 0000-0002-9845-6676
Junzhang TianInstitute for Healthcare Artificial Intelligence Application, Guangdong Second Provincial General Hospital, Guangzhou, China.ORCID 0000-0002-4832-3648
Guangdong Provincial People's Hospital · CNSouthern Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe outbreak of COVID-19 has caused a continuing global pandemic. Hospitals are integral to the control and prevention of COVID-19; however, they are facing numerous challenges during the epidemic.

objectiveOur study aimed to introduce the practical experience of the design and implementation of a web-based COVID-19 service platform at a tertiary hospital in China as well as the preliminary results of the implementation.

methodsThe web-based COVID-19 service platform was deployed within the health care system of the Guangdong Second Provincial General Hospital and Internet Hospital; the function of the platform was to provide web-based medical services for both members of the public and lay health care workers. The focal functions of this system included automated COVID-19 screening, related symptom monitoring, web-based consultation, and psychological support; it also served as a COVID-19 knowledge hub. The design and process of each function are introduced. The usage data for the platform service were collected and are represented by three periods: the pre-epidemic period (December 22, 2019, to January 22, 2020, 32 days), the controlled period (January 23 to March 31, 2020, 69 days), and the postepidemic period (April 1 to June 30, 2020, 91 days).

resultsBy the end of June 2020, 96,642 people had used the automated COVID-19 screening and symptom monitoring systems 161,884 and 7,795,194 times, respectively. The number of general web-based consultation services per day increased from 30 visits in the pre-epidemic period to 122 visits during the controlled period, then dropped to 73 visits in the postepidemic period. The psychological counseling program served 636 clients during the epidemic period. For people who used the automated COVID-19 screening service, 160,916 (99.40%) of the total users were classified in the no risk category. 464 (0.29%) of the people were categorized as medium to high risk, and 12 people (0.01%) were recommended for further COVID-19 testing and treatment. Among the 96,642 individuals who used the COVID-19 related symptoms monitoring service, 6696 (6.93%) were symptomatic at some point during the monitoring period. Fever was the most frequently reported symptom, with 2684/6696 symptomatic people (40.1%) having had this symptom. Cough and sore throat were also relatively frequently reported by the 6696 symptomatic users (1657 people, 24.7%, and 1622 people, 24.2%, respectively).

conclusionsThe web-based COVID-19 service platform implemented at a tertiary hospital in China is exhibited to be a role model for using digital health technologies to respond to the COVID-19 pandemic. The digital solutions of automated COVID-19 screening, daily symptom monitoring, web-based care, and knowledge propagation have plausible acceptability and feasibility for complementing offline hospital services and facilitating disease control and prevention.

Indexed as

ChinaCOVID-19COVID-19 TestingFemaleHumansMaleSARS-CoV-2TelemedicineTertiary Care Centersautomated screeningChinaCOVID-19digital healthemergencyhospitalInternet hospitalmonitoringpsychological supportscreeningsymptomweb-based consultation

Identifiers

PMID33141679
PMCPMC7690252
OpenAlexW3095261862

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.