The first six weeks - setting up a UK urgent dental care centre during the COVID-19 pandemic

  1. Emily Carter
  2. Charlotte C. Currie
  3. Abisola Asuni
  4. Rachel Goldsmith
  5. Grace Toon
  6. Catherine Horridge
  7. Sarah Simpson
  8. Christopher Donnell
  9. Mark Greenwood
  10. Graham Walton
  11. Ben Cole
  12. Justin Durham
  13. Richard Holliday

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Abstract

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  1. ScreenIT

    SciScore for 10.1101/2020.05.06.20093179: (What is this?)

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

    Table 1: Rigor

    Institutional Review Board Statementnot detected.
    Randomizationnot detected.
    Blindingnot detected.
    Power Analysisnot detected.
    Sex as a biological variablenot detected.

    Table 2: Resources

    Software and Algorithms
    SentencesResources
    Data cleaning was completed both manually and in STATA release 13 (StataCorp LP, College Station, TX, USA).
    STATA
    suggested: (Stata, RRID:SCR_012763)
    StataCorp
    suggested: (Stata, RRID:SCR_012763)
    Data were analysed in Statistical Package for the Social Sciences (Windows version 25.0.0.1; SPSS Inc.,
    Statistical Package for the Social Sciences
    suggested: (SPSS, RRID:SCR_002865)
    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:
    There are limitations of our data which were collected as part of an ongoing service evaluation and hence in a pragmatic approach. There was no formal calibration of the data collectors, however they were all experienced clinicians and were able to communicate easily within the team for any queries and consensus regarding data collection and input. The COVID-19 status data should be interpreted in the context of the testing limitations in the UK during this period (limited to symptomatic patients admitted to hospital, or symptomatic key [health and social care] workers) and hence this status relied on the presence or recent history of symptoms. Data were collected from existing documentation and on occasions this has meant there are missing data in some cases. For the ‘triage diagnosis’ this was not always recorded and in this case the data collectors were asked to review the information recorded and use their judgement to give the most likely diagnosis (or reason for contact). Our anonymised data collection did not include a patient identification number meaning we were unable to retrospectively state the exact number of individual patients seen within the service, rather we report consultation episodes. The data and experiences presented in this paper are our experience. They will be influenced by geographical, cultural and organisational factors which needs to be considered when generalising them to other locations and settings.

    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: Please consider improving the rainbow (“jet”) colormap(s) used on page 22. At least one figure is not accessible to readers with colorblindness and/or is not true to the data, i.e. not perceptually uniform.

    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.

  2. Version published to 10.1038/s41415-020-1708-2
  3. Version published to 10.1101/2020.05.06.20093179v1 on medRxiv