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

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.

[1]  C. D. Dela Cruz,et al.  Protecting health-care workers from subclinical coronavirus infection , 2020, The Lancet Respiratory Medicine.

[2]  K. Yuen,et al.  Clinical Characteristics of Coronavirus Disease 2019 in China , 2020, The New England journal of medicine.

[3]  R. Ho,et al.  Mental Health Strategies to Combat the Psychological Impact of COVID-19 Beyond Paranoia and Panic. , 2020, Annals of the Academy of Medicine, Singapore.

[4]  R. Ho,et al.  Immediate Psychological Responses and Associated Factors during the Initial Stage of the 2019 Coronavirus Disease (COVID-19) Epidemic among the General Population in China , 2020, International journal of environmental research and public health.

[5]  C. Eastin,et al.  Clinical Characteristics of Coronavirus Disease 2019 in China , 2020, The Journal of Emergency Medicine.

[6]  C. Akdis,et al.  Clinical characteristics of 140 patients infected with SARS‐CoV‐2 in Wuhan, China , 2020, Allergy.

[7]  Shujhat Khan,et al.  Coronavirus: the spread of misinformation , 2020, BMC Medicine.

[8]  Char Leung The difference in the incubation period of 2019 novel coronavirus (SARS-CoV-2) infection between travelers to Hubei and non-travelers: The need of a longer quarantine period , 2020, Infection Control & Hospital Epidemiology.

[9]  Xiangbin Yan,et al.  Provision of Paid Web-Based Medical Consultation in China: Cross-Sectional Analysis of Data From a Medical Consultation Website , 2019, Journal of medical Internet research.

[10]  P. Klepac,et al.  Feasibility of controlling COVID-19 outbreaks by isolation of cases and contacts , 2020, The Lancet Global Health.

[11]  R. Agha,et al.  World Health Organization declares global emergency: A review of the 2019 novel coronavirus (COVID-19) , 2020, International Journal of Surgery.

[12]  R. Silverman,et al.  Covid-19: control measures must be equitable and inclusive , 2020, BMJ.

[13]  Xiaoxu Xie,et al.  Internet Hospitals in China: Cross-Sectional Survey , 2017, Journal of medical Internet research.

[14]  A. Schuchat,et al.  COVID-19: towards controlling of a pandemic , 2020, The Lancet.

[15]  L. Yardley,et al.  Primary care randomised controlled trial of a tailored interactive website for the self-management of respiratory infections (Internet Doctor) , 2016, BMJ Open.

[16]  Zunyou Wu,et al.  Characteristics of and Important Lessons From the Coronavirus Disease 2019 (COVID-19) Outbreak in China: Summary of a Report of 72 314 Cases From the Chinese Center for Disease Control and Prevention. , 2020, JAMA.

[17]  Elisabeth Mahase Covid-19: WHO declares pandemic because of “alarming levels” of spread, severity, and inaction , 2020, BMJ.

[18]  Cassandra White,et al.  Global Leprosy Status in 2020: Still Losing Touch. , 2020, Annals of the Academy of Medicine, Singapore.

[19]  M. Baysari,et al.  Medication-related calls received by a national telenursing triage and advice service in Australia: a retrospective cohort study , 2017, BMC Health Services Research.

[20]  Sheng-Qun Deng,et al.  Characteristics of and Public Health Responses to the Coronavirus Disease 2019 Outbreak in China , 2020, Journal of clinical medicine.

[21]  Fujie Xu,et al.  Deciphering the power of isolation in controlling COVID-19 outbreaks , 2020, The Lancet Global Health.

[22]  Wei-Hao Su,et al.  Seasonal pattern of influenza and the association with meteorological factors based on wavelet analysis in Jinan City, Eastern China, 2013–2016 , 2020, PeerJ.

[23]  Ting Yu,et al.  Epidemiological and clinical characteristics of 99 cases of 2019 novel coronavirus pneumonia in Wuhan, China: a descriptive study , 2020, The Lancet.

[24]  M. Linzer,et al.  Supporting Clinicians During the COVID-19 Pandemic , 2020, Annals of Internal Medicine.

[25]  John P. A. Ioannidis,et al.  Coronavirus disease 2019: The harms of exaggerated information and non‐evidence‐based measures , 2020, European journal of clinical investigation.

[26]  Claúdio Gleidiston Lima da Silva,et al.  The emotional impact of Coronavirus 2019-nCoV (new Coronavirus disease) , 2020, Psychiatry Research.

[27]  Ruiyun Li,et al.  Substantial undocumented infection facilitates the rapid dissemination of novel coronavirus (SARS-CoV-2) , 2020, Science.

[28]  Erika Hayasaki,et al.  Covid-19: how doctors and healthcare systems are tackling coronavirus worldwide , 2020, BMJ.

[29]  A. Desai,et al.  Stopping the Spread of COVID-19. , 2020, JAMA.

[30]  L. Jorm,et al.  Emergency Department Attendance after Telephone Triage: A Population‐Based Data Linkage Study , 2018, Health services research.

[31]  S. Zhang,et al.  Clinical findings in a group of patients infected with the 2019 novel coronavirus (SARS-Cov-2) outside of Wuhan, China: retrospective case series , 2020, BMJ.

[32]  Hong Wu,et al.  Online written consultation, telephone consultation and offline appointment: An examination of the channel effect in online health communities , 2017, Int. J. Medical Informatics.

[33]  Ningxi Yang,et al.  Social Capital and Sleep Quality in Individuals Who Self-Isolated for 14 Days During the Coronavirus Disease 2019 (COVID-19) Outbreak in January 2020 in China , 2020, Medical science monitor : international medical journal of experimental and clinical research.

[34]  A. Bowdle,et al.  Preventing Infection of Patients and Healthcare Workers Should Be the New Normal in the Era of Novel Coronavirus Epidemics , 2020, Anesthesiology.

[35]  王华英,et al.  Clinical findings in a group of patients infected with the 2019 novel coronavirus (SARS-Cov-2) outside of Wuhan, China: retrospective case series , 2020, BMJ.