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Internet Hospitals Help Prevent and Control the Epidemic of COVID-19 in China: Multicenter User Profiling Study.

作者信息

Gong Kai, Xu Zhong, Cai Zhefeng, Chen Yuxiu, Wang Zhanxiang

机构信息

The Internet Hospital of the First Affiliated Hospital of Xia'men University, Xia'men City, China.

Zoenet Health Company Limited, Xia'men City, China.

出版信息

J Med Internet Res. 2020 Apr 14;22(4):e18908. doi: 10.2196/18908.


DOI:10.2196/18908
PMID:32250962
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7159055/
Abstract

BACKGROUND: During the spread of the novel coronavirus disease (COVID-19), internet hospitals in China were engaged with epidemic prevention and control, offering epidemic-related online services and medical support to the public. OBJECTIVE: The aim of this study is to explore the role of internet hospitals during the prevention and control of the COVID-19 outbreak in China. METHODS: Online epidemic-related consultations from multicenter internet hospitals in China during the COVID-19 epidemic were collected. The counselees were described and classified into seven type groups. Symptoms were recorded and compared with reported patients with COVID-19. Hypochondriacal suspicion and offline visit motivation were detected within each counselees' group to evaluate the social panic of the epidemic along with the consequent medical-seeking behaviors. The counselees' motivation and the doctors' recommendation for an offline visit were compared. Risk factors affecting the counselees' tendency of hypochondriacal suspicion and offline visit motivation were explored by logistic regression models. The epidemic prevention and control measures based on internet hospitals were listed, and the corresponding effects were discussed. RESULTS: A total of 4913 consultations were enrolled for analysis with the median age of the counselees at 28 years (IQR 22-33 years). There were 104 (2.12%) healthy counselees, 147 (2.99%) hypochondriacal counselees, 34 (0.69%) exposed counselees, 853 (17.36%) mildly suspicious counselees, 42 (0.85%) moderately suspicious counselees, 3550 (72.26%) highly suspicious counselees, and 183 (3.72%) severely suspicious counselees. A total of 94.20% (n=4628) of counselees had epidemic-related symptoms with a distribution similar to those of COVID-19. The hypochondriacal suspicion (n=2167, 44.11%) was common. The counselees' motivation and the doctors' recommendation for offline visits were inconsistent (P<.001) with a Cohen kappa score of 0.039, indicating improper medical-seeking behaviors. Adult counselees (odds ratio [OR]=1.816, P<.001) with epidemiological exposure (OR 7.568, P<.001), shortness of breath (OR 1.440, P=.001), diarrhea (OR 1.272, P=.04), and unrelated symptoms (OR 1.509, P<.001) were more likely to have hypochondriacal suspicion. Counselees with severe illnesses (OR 2.303, P<.001), fever (OR 1.660, P<.001), epidemiological exposure history (OR 1.440, P=.01), and hypochondriacal suspicion (OR 4.826, P<.001) were more likely to attempt an offline visit. Reattending counselees (OR 0.545, P=.002) were less motivated to go to the offline clinic. CONCLUSIONS: Internet hospitals can serve different types of epidemic counselees, offer essential medical supports to the public during the COVID-19 outbreak, reduce the social panic, promote social distancing, enhance the public's ability of self-protection, correct improper medical-seeking behaviors, reduce the chance of nosocomial cross-infection, and facilitate epidemiological screening, thus, playing an important role on preventing and controlling COVID-19.

摘要
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a3b5/7159055/d9d8603b9883/jmir_v22i4e18908_fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a3b5/7159055/722bc0e386a0/jmir_v22i4e18908_fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a3b5/7159055/65299719505c/jmir_v22i4e18908_fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a3b5/7159055/d9d8603b9883/jmir_v22i4e18908_fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a3b5/7159055/722bc0e386a0/jmir_v22i4e18908_fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a3b5/7159055/65299719505c/jmir_v22i4e18908_fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a3b5/7159055/d9d8603b9883/jmir_v22i4e18908_fig3.jpg

相似文献

[1]
Internet Hospitals Help Prevent and Control the Epidemic of COVID-19 in China: Multicenter User Profiling Study.

J Med Internet Res. 2020-4-14

[2]
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[3]
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[4]
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[5]
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[6]
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[7]
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[8]
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[9]
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[10]
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Int J Nurs Sci. 2025-6-11

[2]
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BMC Health Serv Res. 2025-4-28

[3]
A determination of patient preferences for China online outpatient follow-up clinics by using discrete choice experiment: an exploratory study.

Front Public Health. 2025-3-24

[4]
Enterprise-led internet healthcare provision in China: insights from a leading platform.

Front Digit Health. 2025-3-3

[5]
Telemedicine in home enteral nutrition: a structured survey exploring acceptability, preferences and experiences among patients.

BMC Health Serv Res. 2025-2-4

[6]
Effectiveness of Outpatient Chronic Pain Management for Middle-Aged Patients by Internet Hospitals: Retrospective Cohort Study.

JMIR Med Inform. 2024-12-30

[7]
"Internet+" pharmacy in psychiatric hospital amid COVID-19 and post-pandemic period: analysis and development.

Front Psychiatry. 2024-12-20

[8]
Challenges and strategies of developing internet hospital: Combining qualitative interview and documentary research.

Digit Health. 2024-12-26

[9]
Evaluation and improvement of nursing undergraduates' informatics competencies using a hybrid multi-criteria decision-making model.

BMC Med Educ. 2024-12-21

[10]
Patient-Centric Mobile Medical Services Accessed Through Smartphones in the Top 100 Chinese Public Hospitals: Cross-Sectional Survey Study.

JMIR Form Res. 2024-12-4

本文引用的文献

[1]
Protocol for Prevention and Control of COVID-19 (Edition 6).

China CDC Wkly. 2020-5-8

[2]
Mental Health Strategies to Combat the Psychological Impact of Coronavirus Disease 2019 (COVID-19) Beyond Paranoia and Panic.

Ann Acad Med Singap. 2020-3-16

[3]
The emotional impact of Coronavirus 2019-nCoV (new Coronavirus disease).

Psychiatry Res. 2020-3-12

[4]
Deciphering the power of isolation in controlling COVID-19 outbreaks.

Lancet Glob Health. 2020-4

[5]
Covid-19: control measures must be equitable and inclusive.

BMJ. 2020-3-20

[6]
COVID-19: towards controlling of a pandemic.

Lancet. 2020-3-28

[7]
Supporting Clinicians During the COVID-19 Pandemic.

Ann Intern Med. 2020-3-20

[8]
Stopping the Spread of COVID-19.

JAMA. 2020-4-21

[9]
Preventing Infection of Patients and Healthcare Workers Should Be the New Normal in the Era of Novel Coronavirus Epidemics.

Anesthesiology. 2020-6

[10]
Seasonal pattern of influenza and the association with meteorological factors based on wavelet analysis in Jinan City, Eastern China, 2013-2016.

PeerJ. 2020-3-9

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