• Login
    View Item 
    •   ORKA Home
    • Settings
    • Acute Ambulatory Care
    • View Item
    •   ORKA Home
    • Settings
    • Acute Ambulatory Care
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Pre-analytical error for three point of care venous blood testing platforms in acute ambulatory settings: A mixed methods service evaluation

    Thumbnail
    View/Open
    Main article (431.8Kb)
    Date
    2020-02
    Author
    External author(s) only
    Metadata
    Show full item record
    Citation
    Thomas R. Fanshawe , Margaret Glogowska, George Edwards,Philip J. Turner, Ian Smith, Rosie Steele, Caroline Croxson,Jordan S. T. Bowen, Gail N. Hayward.Pre-analytical error for three point of care venous blood testing platforms in acute ambulatory settings: A mixed methods service evaluation. PLOS One 3 Feb 2020
    Abstract
    Introduction Point of care blood testing to aid diagnosis is becoming increasingly common in acute ambulatory settings and enables timely investigation of a range of diagnostic markers. However, this testing allows scope for errors in the pre-analytical phase, which depends on the operator handling and transferring specimens correctly. The extent and nature of these pre-analytical errors in clinical settings has not been widely reported. Methods We carried out a convergent parallel mixed-methods service evaluation to investigate pre-analytical errors leading to a machine error reports in a large acute hospital trust in the UK. The quantitative component comprised a retrospective analysis of all recorded error codes from Abbott Point of Care i-STAT 1, i-STAT Alinity and Abbott Rapid Diagnostics Afinion devices to summarise the error frequencies and reasons for error, focusing on those attributable to the operator. The qualitative component included a prospective ethnographic study and a secondary analysis of an existing ethnographic dataset, based in hospital-based ambulatory care and community ambulatory care respectively. Results The i-STAT had the highest usage (113,266 tests, January 2016-December 2018). As a percentage of all tests attempted, its device-recorded overall error rate was 6.8% (95% confidence interval 6.6% to 6.9%), and in the period when reliable data could be obtained, the operator-attributable error rate was 2.3% (2.2% to 2.4%). Staff identified that the most difficult step was the filling of cartridges, but that this could be improved through practice, with a perception that cartridge wastage through errors was rare. Conclusions In the observed settings, the rate of errors attributable to operators of the primary point of care device was less than 1 in 40. In some cases, errors may lead to a small increase in resource use or time required so adequate staff training is necessary to prevent adverse impact on patient care.
    URI
    https://oxfordhealth-nhs.archive.knowledgearc.net/handle/123456789/499
    Published online at:
    https://doi.org/10.1371/journal.pone.0228687
    Collections
    • Acute Ambulatory Care [4]

    Oxford Health copyright © 2019
    Contact Us | Send Feedback | JSPUI
    Powered by KnowledgeArc
     

     

    Browse

    All of ORKACommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsContributor DisciplineThis CollectionBy Issue DateAuthorsTitlesSubjectsContributor Discipline

    My Account

    Login

    Researcher Profiles

    Researchers

    Oxford Health copyright © 2019
    Contact Us | Send Feedback | JSPUI
    Powered by KnowledgeArc