Factors informing healthcare workers’ willingness to work during the COVID-19 pandemic

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Abstract

Objective

The COVID-19 pandemic represents a substantial challenge to healthcare workers. Exploring the determinants of their willingness to work is crucial to ensuring hospital function during the outbreak. Hence, this study examines the factors affecting the motivation and hesitation of health workers in the face of the COVID-19 pandemic in Poland.

Study Design

An online, anonymous survey was carried out among Polish healthcare workers during the COVID-19 pandemic.

Method

The respondents were asked about their demographic characteristics, stress-related factors, and their self-reported motivation and hesitation to work. The responses were gathered during September-December 2020.

Results

912 valid responses were obtained. Of these, 22.8% (N = 208) respondents reported being strongly motivated to work while 37.8% (N = 345) expressed strong hesitation. The participants’ demographic characteristics and their responses to the stress-related questions were assigned to four categories depending on the odds ratios of motivation and hesitation. While some factors were linked to enhanced motivation and reduced hesitation, others solely affected either motivation or hesitation, and yet others had a positive impact on both.

Conclusion

Overall, the study indicates that in order to increase hospital workers’ motivation and decrease their hesitation, they must be made to feel protected by both their hospitals and local and national authorities.

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  1. SciScore for 10.1101/2021.03.21.21254048: (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

    No key resources detected.


    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.