Assessment of Out-of-Pocket Spending for COVID-19 Hospitalizations in the US in 2020

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Abstract

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  1. SciScore for 10.1101/2021.05.26.21257879: (What is this?)

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

    Table 1: Rigor

    EthicsIRB: Because data were de-identified, the Institutional Review Board of the University of Michigan Medical School exempted analyses from human subjects review.
    Sex as a biological variablenot detected.
    Randomizationnot detected.
    Blindingnot detected.
    Power Analysisnot detected.

    Table 2: Resources

    Software and Algorithms
    SentencesResources
    Analyses used SAS 9.4 (SAS Institute).
    SAS Institute
    suggested: (Statistical Analysis System, RRID:SCR_008567)

    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:
    This study also has limitations. First, despite strong indirect evidence, we cannot prove that COVID-19 hospitalizations in this study were mostly covered by plans with cost-sharing waivers. Second, if patients did not pay the amounts they were billed, the incidence of actual out-of-pocket spending would differ from the incidence estimated by this study. However, the amount billed to patients still illustrates the financial burden patients may face without cost-sharing waivers. Third, COVID-19 hospitalizations without the diagnosis code for confirmed COVID-19 (U017) were not included. However, hospitals rapidly started using this code during the first half of 2020.16 Finally, our database is not necessarily representative of all private and Medicare Advantage plans. However, most privately insured hospitalizations in our study were covered by preferred private organization plans, while most Medicare Advantage hospitalizations were covered by health maintenance organizations, consistent with the national distribution of plan type among privately insured and Medicare Advantage enrollees.13,17

    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.