Dental practice in Pre- COVID19 and Future Perspectives

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Abstract

Objectives

To assess the trends in dental practice in pre-COVID19 times and future perspectives.

Methods

The cross-sectional study was conducted among the dental professionals across India. The snowball and convenience sampling methods were used to ensure maximum participation of the subjects. An online structured questionnaire was created using free-access Google Forms application and was sent to the dental professionals via E-mail, WhatsApp mobile application and through other social media platforms. Initially, a pilot study was conducted among 30 dentists to check for the validity. The questionnaire was administered between the months of May 2020 – July 2020 and was sent to 650 dentists from various parts of the country. Data were compiled and subjected to statistical analysis.

Results

The questionnaire was sent to 650 dental professionals. Out of 650, 120 (18.4%) participants took part in the survey. Majority of the respondents had 1 to 3 years of experience in dental practice (n=51, 42.5%). It was noted that majority of the participants were into consultation practice (n=69, 57.5%). 65.8% participants reported that they can withstand upto 6 months from economic view point. Difficulty in paying salaries, reduced incomes is some of the main problems encountered by dental professionals. Increasing the price of treatment, reducing co-workers are a few strategies planned by dental professionals to mitigate the economic burden caused by COVID19 pandemic.

Conclusion

Majority of dental professionals in India are dependent on private practice and consultation practice. Due to COVID19, source of income has disrupted for majority of the younger dental professionals.

Article activity feed

  1. SciScore for 10.1101/2020.11.24.20238303: (What is this?)

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

    Table 1: Rigor

    Institutional Review Board StatementConsent: Ethical considerations: The questionnaire was designed to be anonymous, and informed consent was obtained from every respondent.
    Randomizationnot detected.
    Blindingnot detected.
    Power Analysisnot detected.
    Sex as a biological variablenot detected.

    Table 2: Resources

    Software and Algorithms
    SentencesResources
    Statistical Analysis: Statistical analyses were performed using the software Statistical Package for Social Sciences (SPSS) version 22.0 (SPSS, Inc., Chicago, IL, USA).
    SPSS
    suggested: (SPSS, RRID:SCR_002865)

    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.