Estimated Impact of Public and Private Sector COVID-19 Diagnostics and Treatments on US Healthcare Resource Utilization

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Abstract

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  1. SciScore for 10.1101/2020.11.09.20228452: (What is this?)

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

    Table 1: Rigor

    NIH rigor criteria are not applicable to paper type.

    Table 2: Resources

    Software and Algorithms
    SentencesResources
    The model was implemented in Microsoft Excel using a Markov structure with 1-day cycles and was initialized by assuming 1 exposed individual in each age group at day 0 corresponding to January 21, 2020.
    Microsoft Excel
    suggested: (Microsoft Excel, RRID:SCR_016137)

    Results from OddPub: Thank you for sharing your code and data.


    Results from LimitationRecognizer: We detected the following sentences addressing limitations in the study:
    Like all models, ours has limitations. First, the model assumes equal distribution of treatments and testing across the US. In reality, we know health care in the US is not always equally distributed relative to the number of cases in a region, so the impact of diagnostics and treatments may vary by individual health system. Thus, estimates of expected resource use relative to known availability of hospital/ICU beds and ventilators throughout the country should only be interpreted in aggregate across the country and is not necessarily reflective of the resource burden faced by individual health systems. While this model is based on historical data, for those wishing to estimate future local or regional scenarios for healthcare capacity planning, particularly as new advancements in the diagnosis and care of COVID-19 patients become available, we are happy to share the model, and it is available on request. Second, expanded testing scenarios assume that laboratory infrastructures are in place and the consumables required for testing are also widely available when in reality this may not be the case. Lastly, the model assumes public and private sector treatments and testing became available instantaneously on a single date when in actuality the availability of new diagnostics and treatments were spread out over time. For example, this may overestimate the impact of public sector contributions, as it is assumed both public sector testing capacity and treatments (dexamethasone) we...

    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.

    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.