Burnout among healthcare professionals during COVID-19 pandemic: a cross-sectional study

This article has been Reviewed by the following groups

Read the full article See related articles

Abstract

No abstract available

Article activity feed

  1. SciScore for 10.1101/2020.06.12.20129650: (What is this?)

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

    Table 1: Rigor

    NIH rigor criteria are not applicable to paper type.

    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: We detected the following sentences addressing limitations in the study:
    Strengths and limitations: Our study has several strengths. Burnout is a well recognized psychological consequence of working in the healthcare section and its impact on staff physical and emotional health, patient safety, and quality of care is documented. The instrument used in this study is well validated across geographical areas. We used a relatively large sample with an acceptable response rate. This study also faces some limitations. Although we tried to consider several personal (e.g. marital status and having dependent children) and work-related parameters (e.g. workload, job category), our study might have failed to deal with all confounding factors. We specifically referred to COVID-19 in our questions; however, a comparison with other clinicians or the general population has not been performed and we cannot claim that this level of burnout is solely attributable to COVID-19 pandemic. Suggestions for future research: Other studies, using qualitative methods, are necessary to delve into the reasons for this observed phenomenon. In-depth interviews can bring important issues into consideration, which can be the subject of further studies. The necessity of implementation and evaluation of various measures and strategies to overcome this high prevalence of burnout among staff, through interventional studies, cannot be overemphasized. Last but not least, further assessment of the long term sequel of COVID-19 pandemic through follow up studies deserves particular attenti...

    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.