Self-medication Practices and Associated Factors among COVID-19 Recovered Patients to Prevent Future Infections: A Web-based Survey in Bangladesh

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Abstract

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  1. SciScore for 10.1101/2022.05.14.22275075: (What is this?)

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

    Table 1: Rigor

    EthicsConsent: An informed consent statement outlining the purpose and process and the right to refuse participation in the study was attached to the first page of the questionnaire.
    IRB: For the regression analysis, a p-value of less than 0.05 was considered significant. 2.4 Ethical Approval: The study was conducted following the Institutional Research Ethics and Human Involvement Guidelines (Helsinki declaration).
    IACUC: The Ethical Review Committee gave their approval for the study.
    Sex as a biological variablenot detected.
    Randomizationnot detected.
    Blindingnot detected.
    Power Analysisnot detected.

    Table 2: Resources

    Software and Algorithms
    SentencesResources
    2.3 Statistical analysis: Microsoft Excel 2019 and IBM SPSS Statistics version 25 were used to analyze the data.
    Microsoft Excel
    suggested: (Microsoft Excel, RRID:SCR_016137)
    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:
    Limitations: There is no study outside constraints, and this study has some limitations as well. Firstly, the study was cross-sectional in its nature, therefore, the causality of factors could not be established. In this regard, a longitudinal study is required to better understand the practice of self-medication among COVID-19 recovered patients. Secondly, the study employed an online-based self-reporting method, which could have been influenced by a variety of biases, including perceived benefits and episodic memory biases. Thirdly, due to the inflexibility of reaching out to persons who had recovered from COVID-19 and their refusal to engage in this study freely, the study enrolled only a few participants.

    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.