The effect of training and workstation adjustability on teleworker discomfort during the COVID-19 pandemic

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Abstract

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  1. SciScore for 10.1101/2021.10.08.21264708: (What is this?)

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

    Table 1: Rigor

    EthicsConsent: Participants who had received an assessment from our ergonomics consulting group were asked for their consent to access their assessment report to identify the workstation elements discussed during their assessment.
    IRB: Respondents could also upload a series of pictures of them at their workstation to provide a better understanding of the quality of their workstation and how well it fit them. 2.2. Methods: Prior to beginning the study, the General Research Ethics Board at Queen’s University and the Oakland University Institutional Review Board reviewed and approved all elements of the study, including the recruitment materials and the survey questions. 2.2.1. Participant Recruitment: Study participants were all staff, faculty, and administration at Queen’s University, a large university that provides comprehensive ergonomic consulting services to all employees on campus.
    Sex as a biological variableThe first part of the survey included standard demographic questions including age (multiple choice - binned by decade), gender (multiple choice - male, female, other), and occupation (typed word answer).
    Randomizationnot detected.
    Blindingnot detected.
    Power Analysisnot 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.
    • Thank you for including a protocol registration statement.

    Results from scite Reference Check: We found no unreliable references.


    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.