• J Eval Clin Pract · Feb 2020

    Qualitative subjective assessment of a high-resolution database in a paediatric intensive care unit-Elaborating the perpetual patient's ID card.

    • David Brossier, Michael Sauthier, Audrey Mathieu, Isabelle Goyer, Guillaume Emeriaud, and Philippe Jouvet.
    • Pediatric Intensive Care Unit, CHU Sainte Justine, University of Montreal, Montreal, Québec, Canada.
    • J Eval Clin Pract. 2020 Feb 1; 26 (1): 86-91.

    ObjectiveThe main purpose of our study was to subjectively assess the quality of a paediatric intensive care unit (PICU) database according to the Directory of Clinical Databases (DoCDat) criteria.Design And SettingA survey was conducted between April 1 and June 15, 2018, among the Sainte Justine PICU research group.PopulationEvery member of this group whose research activity required the use of the database and/or who was involved in the development/validation of the database.InterventionsNone.Measurements And Main ResultsAll 10 research team members (one Information Technology specialist, one junior medical student, and eight clinician researchers) who used the high-resolution database fulfilled the survey (100% response rate). The median quality level of the Sainte Justine PICU database across all the 10 criteria was 3 (2-4), rated on a 1 (worst) to 4 (best) numeric scale. When compared with previously assessed databases through the DoCDat criteria, we found that the Sainte Justine PICU database performance was similar.ConclusionsThe PICU high-resolution database appeared of good quality when subjectively assessed by the DoCDat criteria. Further validation procedures are mandatory. We suggest that data quality assessment and validation procedures should be reported when creating a new database.© 2019 John Wiley & Sons, Ltd.

      Pubmed     Full text   Copy Citation     Plaintext  

      Add institutional full text...

    Notes

     
    Knowledge, pearl, summary or comment to share?
    300 characters remaining
    help        
    You can also include formatting, links, images and footnotes in your notes
    • Simple formatting can be added to notes, such as *italics*, _underline_ or **bold**.
    • Superscript can be denoted by <sup>text</sup> and subscript <sub>text</sub>.
    • Numbered or bulleted lists can be created using either numbered lines 1. 2. 3., hyphens - or asterisks *.
    • Links can be included with: [my link to pubmed](http://pubmed.com)
    • Images can be included with: ![alt text](https://bestmedicaljournal.com/study_graph.jpg "Image Title Text")
    • For footnotes use [^1](This is a footnote.) inline.
    • Or use an inline reference [^1] to refer to a longer footnote elseweher in the document [^1]: This is a long footnote..

    hide…