Impacts of mild and severe COVID-19 on sick leave

  1. Katrine Skyrud
  2. Kjetil Telle
  3. Karin Magnusson

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  1. Version published to 10.1093/ije/dyab182
  2. ScreenIT

    SciScore for 10.1101/2021.04.09.21255215: (What is this?)

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

    Table 1: Rigor

    Institutional Review Board StatementIRB: Institutional board review was conducted, and The Ethics Committee of South-East Norway confirmed (June 4th 2020, #153204) that external ethical board review was not required.
    Randomizationnot detected.
    Blindingnot detected.
    Power Analysisnot detected.
    Sex as a biological variableThe differences-in-difference model was run for the following strata of age and sex: Men 20-44 years, women 20-44 years, men 45-70 years and women 45-70 years.

    Table 2: Resources

    Software and Algorithms
    SentencesResources
    All analyses were run in STATA MP v.16.
    STATA
    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: We detected the following sentences addressing limitations in the study:
    Our study has several important limitations. First, we have no information regarding the length of the sick leave spells. Thus, we cannot study how long an employee is on sick leave, potentially explaining the lower level of sick leave found in our sample than what is reported in official statistics (9). However, doctor-certified sick leave must be renewed regularly, often every fortnight, when symptoms are vague like those typically reported for long-covid (4,10). Moreover, our investigation of potential selection bias due to post-covid non-employment shows that health-care consultations for any cause are affected in a similar way as sick leave (E-Figure 1). This suggests that our sick leave estimates are not seriously biased by e.g. more non-employment among those testing positive. A second limitation may be that we could only include doctor-certified sick leave. In the first 3- or 7-day periods of sick leave, the employee can call in sick without doctor-certification. Thus, we may have underestimated any change in sick leave for short-term spells. In conclusion, we find that COVID-19 does not elevate sick leave beyond 2 months after testing positive, at least for men aged 20-70 years and for women aged 20-44 years, whereas women aged 45-70 years had elevated sick leave for up to 4 months after testing positive.

    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 10.1101/2021.04.09.21255215v1 on medRxiv