Monitoring the COVID-19 immunisation programme through a national immunisation Management system – England’s experience

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Abstract

No abstract available

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  1. SciScore for 10.1101/2021.09.14.21263578: (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

    No key resources detected.


    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 improvements to NIMS: Currently the data in NIMS can only be linked for individuals with a NHS number where demographic details can be populated from the GP record or hospital record data. Those without an NHS number can opportunistically receive a vaccine and a NHS number will be allocated upon vaccination. These individuals’ records will only contain information from their vaccine event. As such, it is possible that some people are missing opportunities to be invited for a vaccination. Though the numbers of individuals without an NHS number is marginal, the most vulnerable populations (migrants, asylum seekers) are more likely to not have an NHS number, and as such excluding them from the benefit of the NIMS may exacerbate health inequalities. The use of PoC apps has made for more efficient data entry, however, errors due to manual entry are still possible. Many of these errors can only be validated at the vaccination site where the vaccine was delivered. The packaging of current vaccines do not leave sufficient space for barcodes to be added to individual vials and on some occasions barcodes have been pre-loaded at vaccination sessions in attempt to eliminate data entry error. Finally, though the NIMS is based on a unique NHS number, this number is only linked to health services datasets. Linking to non-health related indicators such as occupation, emigration are not possible using the NHS number. Parts of the NIMS’ data have attempted to overcome this limi...

    Results from TrialIdentifier: No clinical trial numbers were referenced.


    Results from Barzooka: We found bar graphs of continuous data. We recommend replacing bar graphs with more informative graphics, as many different datasets can lead to the same bar graph. The actual data may suggest different conclusions from the summary statistics. For more information, please see Weissgerber et al (2015).


    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.