COVID-19: knowledge, perception of risk, preparedness and vaccine acceptability among healthcare workers in Kenya

  1. Hafso Mohamed Abdulle
  2. Moses Muia Masika
  3. Julius Otieno Oyugi

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Abstract

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  1. Version published to 10.11604/pamj.2022.41.239.33985
  2. ScreenIT

    SciScore for 10.1101/2021.10.19.21264712: (What is this?)

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

    Table 1: Rigor

    EthicsIRB: Ethical considerations: This protocol was submitted to KNH-UoN Ethics and Research Committee for review.
    Consent: We sought for approval to conduct the study from UoN-KNH ERC before sharing the consent form and the questionnaire to collect data from the respondents.
    Sex as a biological variablenot detected.
    Randomizationnot detected.
    Blindingnot detected.
    Power Analysisnot detected.

    Table 2: Resources

    Software and Algorithms
    SentencesResources
    A self-administered questionnaire hosted on the Research Electronic Data Capture application (REDCap) was used.
    REDCap
    suggested: (REDCap, RRID:SCR_003445)
    Data management: IBM SPSS Statistics software was utilized for data analysis.
    SPSS
    suggested: (SPSS, RRID:SCR_002865)

    Results from OddPub: Thank you for sharing your data.

    Results from LimitationRecognizer: We detected the following sentences addressing limitations in the study:
    A few limitations were found in this study; some healthcare workers who participated in the research study did not fully fill the questionnaire. The questionnaire was made as short as possible and by using a user-friendly design hence a response rate of 95%. There also may have been a selection bias by leaving out healthcare workers who may not have had access to internet. Another limitation is that the REDCap application is configured for ease of use on a smart phone or a computer and therefore health workers without one of these devices may have been unable to participate. This is an inherent weakness in the study.

    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.

  3. Version published to 10.1101/2021.10.19.21264712 on medRxiv