The effects of messaging on long COVID expectations: An online experiment.

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Abstract

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  1. SciScore for 10.1101/2022.01.18.22269467: (What is this?)

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

    Table 1: Rigor

    Ethicsnot detected.
    Sex as a biological variablenot detected.
    RandomizationThis resulted in eight conditions, with each participant being randomly allocated to one condition.
    BlindingParticipants and researchers were blinded to the randomisation.
    Power AnalysisPower calculations using G*Power 3.1 (25) required a sample size of 1014 for a 2 × 2 × 2 design, achieving 95% power to detect a small effect size (f=0.1).

    Table 2: Resources

    Software and Algorithms
    SentencesResources
    Power calculations using G*Power 3.1 (25) required a sample size of 1014 for a 2 × 2 × 2 design, achieving 95% power to detect a small effect size (f=0.1).
    G*Power
    suggested: (G*Power, RRID:SCR_013726)

    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 and Future Research: This study is novel in using an experimental design to assess the effect of different messages about Long COVID on expectations of illness outcomes. A limitation of this research is that the study used a design which required participants to imagine themselves in a hypothetical scenario and report their illness expectations, based on the information provided. While the results are in line with previous research, including that carried out in real-world contexts, caution should therefore be taken when extrapolating current findings to a real-world context. A related limitation is that the hypothetical nature of the experiment meant that we were unable to measure actual health outcomes. While previous research into other conditions demonstrates the relationship between negative illness expectations and adverse health outcomes, the area would benefit from further research to explore the relationship between negative expectations and Long COVID health outcomes, potentially using a longitudinal design. A final limitation is that, although the sample was representative of the UK population, given that the majority UK population are white British, the findings are less generalisable to other ethnicities. This study did not intend to explore any demographic differences, and we found no significant differences in demographic variables between groups, and so it is unlikely that demographic variables affected the outcomes of the study. However, further r...

    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.