COVID-19 vaccine hesitancy among reproductive-aged female tier 1A healthcare workers in a United States Medical Center

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Abstract

No abstract available

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  1. SciScore for 10.1101/2021.04.29.21256186: (What is this?)

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

    Table 1: Rigor

    EthicsIRB: The study was deemed exempt research by the study site’s Institutional Review Board (HUM00193484).
    Consent: Participation was voluntary and consent was attained through survey continuation.
    Sex as a biological variableWe collapsed gender into “female,” “male,” and “other;” some exhibits include only female and male groups, due to small numbers.
    Randomizationnot detected.
    Blindingnot detected.
    Power Analysisnot detected.

    Table 2: Resources

    Experimental Models: Organisms/Strains
    SentencesResources
    Due to small numbers of respondents in certain racial and ethnic groups, we collapsed race/ethnicity into four categories (Hispanic, non-Hispanic White, non-Hispanic Asian, and non-Hispanic Black/Mixed/Other).
    non-Hispanic White
    suggested: None

    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:
    Study limitations include an opt-in sampling approach, which may bias toward those with stronger opinions (either positive or negative) about the COVID-19 vaccine, and our cross-sectional design, which cannot capture rapidly evolving attitudes or beliefs. In this large study of a diverse sample of medical center employees’ COVID-19 vaccine intentions and attitudes as vaccination was made available to them, we document high vaccine acceptance overall but notable variation across health care employee roles, gender, and racial-ethnic groups. Our findings suggest important opportunities to empathetically engage those with COVID-19 vaccine concerns and optimize vaccine coverage across our healthcare system.

    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.

    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.