| Literature DB >> 33213264 |
Fengli Zhou1, Zhouhan Wang2, Xiaojun Mai1, Xiaoyun Liu1, Christopher Reid3, Sally Sandover3, Kouxing Zhang1, Dan Xu3.
Abstract
Coronavirus disease 2019 (COVID-19) is a newly-identified infectious diseases that has rapidly spread throughout the world with rising fatalities with declaration by World Health Organization as the pandemic. Online consultations have been shown to alleviate the pandemic with our study aims to demonstrate whether online consultation can be a solution for acute health crisis. Retrospective analysis of the characteristics of online consultations through two primary care online-consultation platforms during COVID-19 pandemic was performed at the Third Affiliated Hospital of Sun Yat-Sen University, which led the assessment of COVID-19-symptoms patients in Guangzhou. The 3473 online consultations were divided into pre-pandemic and pandemic period groups with Chi-square test as statistical analysis method. The number of online consultations has increased with diagnosis of upper respiratory tract infection, psychological conditions, COVID-19-related investigations and interventions. The increased online consultations met the increased demand of the relevant clinical services and reduced the overwhelming hospital presentations, thus decreasing the potential COVID-19 spread inside the major tertiary hospital and sparing the resources for acute crisis management. The epidemiology and disease characteristics of online consultations during the pandemic have been demonstrated with identification of the enabling factors and potential barriers in improving online healthcare in China with online consultation model being a durable solution for pandemic in future.Entities:
Keywords: COVID-19; infectious disease; online consultation; pandemic
Mesh:
Year: 2020 PMID: 33213264 PMCID: PMC7682203 DOI: 10.1177/2150132720975517
Source DB: PubMed Journal: J Prim Care Community Health ISSN: 2150-1319
Figure 1.Professional achievements on 2 online healthcare platforms and patients’ reviews on Good-Doctor-Online: (A) professional achievements on Good-Doctor-Online, (B) professional achievements on Ali Medical Valley Online, and (C) patients’ reviews on Good-Doctor-Online.
Figure 2.(A) average number of patients daily before and during the pandemic and (B) diagnoses of online consulting patients during the pandemic.
Characteristics of Patients Before and During Pandemic Period.
| Before pandemic (n = 1324) | During pandemic (n = 2150) | ||
|---|---|---|---|
| Tests before online consultation, n (%) | |||
| Blood routine | 348 (26.3%) | 2107 (98%) | <.001 |
| Chest CT | 155 (11.7%) | 1404 (65.3%) | <.001 |
| Chest X-ray | 140 (10.6%) | 282 (13.1%) | .026 |
| Symptoms, n (%) | |||
| Fever | 83 (6.3%) | 1210 (56.3%) | <.001 |
| Sore throat | 180 (13.6%) | 918 (42.7%) | <.001 |
| Cough | 436 (32.9%) | 1486 (69.1%) | <.001 |
| Breath difficulty | 203 (15.3%) | 804 (37.4%) | <.001 |
| Chest tightness | 36 (2.7%) | 765 (35.6%) | <.001 |
| Nausea, vomiting and diarrhea | 1 (0.1%) | 458 (21.3%) | <.001 |
| Anxiety and obsessive-compulsive presentations | 3 (0.2%) | 611 (28.4%) | <.001 |
| Diagnoses, n (%) | |||
| Upper-respiratory-infection | 64 (4.8%) | 1391 (64.7%) | <.001 |
| Pneumonia | 86 (6.5%) | 206 (9.6%) | .001 |
| Bronchial asthma | 761 (57.5%) | 133 (6.2%) | <.001 |
| Others | 290 (21.9%) | 80 (3.7%) | <.001 |
| Treatments, n (%) | |||
| Cold medicines | 34 (2.6%) | 1021 (47.5%) | <.001 |
| Cough medicines | 342 (25.8%) | 909 (42.3%) | <.001 |
| Antibiotics | 343 (25.9%) | 961 (44.7%) | <.001 |
| Antivirals | 25 (1.9%) | 1621 (75.4%) | <.001 |
| Need psychological counseling | 33 (2.5%) | 1406 (65.4%) | <.001 |