Evaluation of the awareness level of Healthcare workers toward NCOVID-2019 in Pakistan

  1. Bushra Imdad
  2. Uzair Abbas
  3. Ambrina Qureshi
  4. Sehrish Mohsin
  5. Amna Shireen
  6. Altaf Hussain
  7. Ramsha Ali Baloch
  8. Niaz Hussain
  9. Nazia Imdad

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Abstract

Background

Novel Coronavirus infection disease 2019 (NCOVID-19), caused by the corona virus, was first spotted in Wuhan, city of China, December 2019. The NCOVID-19 virus is spread among individuals through close communication in the form of droplets, not via airborne. Those individuals are at risk of infection who are in close contact with a NCOVID-19 patient or who take care of NCOVID-19 patients. Infection prevention and control measures are critical to prevent the possible spread of any infection in healthcare facilities. Therefore, healthcare workers should be aware of basic knowledge and all procedures concerning prevention and protection from NCOVID-19.

Objective

The objective of this study was to evaluate the awareness level of healthcare workers toward NCOVID-2019 in Pakistan.

Material and Methods

A questionnaire was generated according to WHO information that was circulated among the healthcare workers of different hospitals and medical institutes of Pakistan. Calculated sample size was 650.

Conclusion

Healthcare workers have insufficient knowledge of preventive measures and infection control. The authorities must take initiatives on urgent basis to increase the awareness among the healthcare workers and general public also so that the drastic circumstances can be avoided in the developing country like Pakistan.

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  1. ScreenIT

    SciScore for 10.1101/2020.03.26.20044636: (What is this?)

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

    Table 1: Rigor

    Institutional Review Board StatementConsent: Ethical approval from the institute could not be sought due to the prevailing emergency situation/ lockdown in the country institutions; however, consent from each participant was sought by they filled the online questionnaire.
    Randomizationnot detected.
    Blindingnot detected.
    Power Analysisnot detected.
    Sex as a biological variablenot detected.

    Table 2: Resources

    Software and Algorithms
    SentencesResources
    The results were analyzed on SPSS version 24.0.
    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.

  2. Version published to 10.1101/2020.03.26.20044636v1 on medRxiv