Impacts of the COVID‐19 epidemic on the department of stomatology in a tertiary hospital: A case study in the General Hospital of the Central Theater Command, Wuhan, China

  1. Qingshan Dong
  2. Angelica Kuria
  3. Yanming Weng
  4. Yu Liu
  5. Yang Cao

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Abstract

Objective

The impact of the worldwide COVID‐19 pandemic on the dental community is evident. Dental education programmes and academic activities have suffered from the ramifications of the pandemic. This study aimed to depict the impacts of the COVID‐19 epidemic on the clinical services and academic activities in the department of stomatology of a tertiary hospital in Wuhan, China.

Methods

We obtained historical data of the Department of Stomatology from the Health Information System of the General Hospital of Central Theater Command, Wuhan, China between January 2018 and June 2020. Mean, standard deviation and median with interquartile range were used to summarize the variables. Line plots were used to illustrate the temporal trend. The Kruskal‐Wallis equality‐of‐populations rank test was used to compare the difference between groups.

Results

A significant decrease was noted in the monthly average number of patients seeking outpatient services for the year 2020, which were decreased by two‐thirds from 2018 to 2020. The number of emergency cases also decreased significantly by 57.6% in 2020. The monthly number of teaching hours decreased from 3.8 ± 1.5 in 2018 and 4.7 ± 1.4 in 2019 to 1.7 ± 1.9 in 2020. The number of interns also decreased by more than 77.0% in 2020.

Conclusions

The impacts of COVID‐19 in the stomatology clinic were significant with notable decreases in clinical services and education offered to the stomatology students. There is a need to find solutions to keep as many dental professionals as needed remaining on the frontline of oral health care.

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  1. Version published to 10.1111/cdoe.12680
  2. ScreenIT

    SciScore for 10.1101/2020.09.11.20192450: (What is this?)

    Please note, not all rigor criteria are appropriate for all manuscripts.

    Table 1: Rigor

    Institutional Review Board Statementnot detected.
    Randomizationnot detected.
    Blindingnot detected.
    Power Analysisnot detected.
    Sex as a biological variablenot detected.

    Table 2: Resources

    Software and Algorithms
    SentencesResources
    All the analyses were conducted in Stata 16.1 (StataCorp, College Station, Texas, USA).
    StataCorp
    suggested: (Stata, RRID:SCR_012763)

    Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).

    Results from LimitationRecognizer: An explicit section about the limitations of the techniques employed in this study was not found. We encourage authors to address study limitations.

    Results from TrialIdentifier: No clinical trial numbers were referenced.

    Results from Barzooka: We did not find any issues relating to the usage of bar graphs.

    Results from JetFighter: We did not find any issues relating to colormaps.

    Results from rtransparent:
    • Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
    • Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
    • No protocol registration statement was detected.

    About SciScore

    SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.

  3. Version published to 10.1101/2020.09.11.20192450v1 on medRxiv