On the Front (Phone) Lines: Results of a COVID-19 Hotline

  1. David Margolius
  2. Mary Hennekes
  3. Jimmy Yao
  4. Douglas Einstadter
  5. Douglas Gunzler
  6. Nabil Chehade
  7. Ashwini R. Sehgal
  8. Yasir Tarabichi
  9. Adam T. Perzynski

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Abstract

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  1. Version published to 10.3122/jabfm.2021.s1.200237
  2. ScreenIT

    SciScore for 10.1101/2020.05.08.20095745: (What is this?)

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

    Table 1: Rigor

    Institutional Review Board StatementIRB: The study was approved by the MetroHealth Institutional Review Board.
    Randomizationnot detected.
    Blindingnot detected.
    Power Analysisnot detected.
    Sex as a biological variablenot detected.

    Table 2: Resources

    Experimental Models: Organisms/Strains
    SentencesResources
    Race and ethnicity categories included Non-Hispanic White, Non-Hispanic Black, Hispanic, and other.
    Non-Hispanic White
    suggested: None

    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 finding is consistent with a review of several prior studies outside the United States which found little evidence for the influence of tobacco smoking on COVID-19 outcomes.[22] However, prior investigations and reviews have been confined to case series designs derived from data reported to public health agencies or to hospitalized patients which limit the ability to include important covariates and excludes untested patients reporting acute respiratory illness.[22-25] The results of our study have several important limitations. We report on a hotline from a single, large health care system serving an urban area of Northeast Ohio. Our findings may not be generalizable to other health systems or areas due to variation in COVID-19 government and public health response. Although we included data available through Epic’s Care Everywhere health information exchange, we may not have captured all data from other regional care systems, and some patients may have received services at other hospitals or emergency rooms that are not available for our analyses. However, two of the three major health systems in Cuyahoga County use the Epic EHR, and COVID-19 test results from all three systems (covering more than 90% of all acute care) were captured in our data, suggesting any missed utilization may be minimal. Prior research has demonstrated that telephone hotlines are a convenient and efficient mode of information distribution from health care providers to a large population, and ou...

    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.

  3. Version published to 10.1101/2020.05.08.20095745v1 on medRxiv