Anxiety Levels Among Female Iranian Health Care Workers During the COVID-19 Surge: A Cross-sectional Study

  1. Mahbod Kaveh
  2. Venus Hajaliakbari
  3. Fateme Davari-Tanha
  4. Shokoh Varaei
  5. Mahsa Ghajarzadeh
  6. Elham Feizabad
  7. Mohammad Ali Ashraf
  8. Zahra Kaveh

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Abstract

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  1. Version published to 10.30699/jogcr.7.2.69
  2. ScreenIT

    SciScore for 10.1101/2020.05.02.20089045: (What is this?)

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

    Table 1: Rigor

    Institutional Review Board StatementIRB: The study protocol was approved by the Tehran University of Medical Sciences ethics committee (IR.TUMS.VCR.REC.1399.087). 2.2.
    Randomizationnot detected.
    Blindingnot detected.
    Power Analysisnot detected.
    Sex as a biological variableDemographic data including age (20-25, 26-30, 31-40, 41-50, or >50 years), gender (male or female), and working positions (physicians, nurses, midwives, other positions / front-line vs. second-line workers) were collected in the study population.

    Table 2: Resources

    Software and Algorithms
    SentencesResources
    All data were analyzed using SPSS software, version 24.0 (IBM).
    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: We detected the following sentences addressing limitations in the study:
    This study had some limitations. First, we only evaluated the anxiety level of HCWs and not other psychological disorders. Second, the study was done in a short period (6 days), and about one month after the onset of the COVID-19 pandemic in Iran, while the anxiety level of HCWs may vary at different times during the epidemic. Currently, little research has been done on this topic, and we had not been able to compare the results of our study extensively with previous studies.

    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 10.1101/2020.05.02.20089045v1 on medRxiv