The Use of Clinical Coding Data for the Surveillance of Healthcare-Associated Urinary Tract Infections in Australia
| avondale-bepress.context-key | 8560898 | |
| avondale-bepress.submission-path | nh_papers/105 | |
| avondale.affiliate | Mitchell, Brett; 0000-0003-4220-8291 | |
| avondale.department | Lifestyle Medicine and Health Research Centre | |
| avondale.faculty | Nursing | |
| avondale.reporting.isPeerReviewed | Peer Reviewed | |
| avondale.reporting.version | Published Version | |
| dc.contributor.author | Ferguson, John K. | |
| dc.contributor.author | Mitchell, Brett G. | |
| dc.date.accessioned | 2023-11-01T00:23:42Z | |
| dc.date.available | 2023-11-01T00:23:42Z | |
| dc.date.issued | 2016-05-02 | |
| dc.date.submitted | 2016-05-04T16:18:28Z | |
| dc.description.abstract | <p><strong>Introduction</strong></p> <p>Given the trends in antimicrobial resistance, particularly for Gram-negative organisms, the surveillance of urinary tract infections (UTIs) has the potential to become increasingly important in the future. Whilst considering accuracy and efficiency, we undertook a cohort study in a large Australian health district to inform future discussions around surveillance approaches to healthcare-associated UTIs (HAUTI).</p> <p><strong>Methods</strong></p> <p>A retrospective cohort study in eight hospitals was conducted to examine the clinical coding data of all patients hospitalised for more than two days over a four-and-half-year period. These data were compared to a conservative laboratory-based HAUTI definition.</p> <p><strong>Results</strong></p> <p>The data from 162,503 patient admissions were examined. During the study period, 2821 of the admitted patients acquired a HAUTI. Of those patients identified as having a laboratory-diagnosed HAUTI, 29.3% had a clinical code relating to a UTI.</p> <p><strong>Conclusion</strong></p> <p>The clinical coding data used to identify cases of HAUTI is very unreliable as a significant proportion of cases were not identified. To ensure the efficient and effective use of resources, a range of approaches should be considered in the event of HAUTI surveillance being required.</p> | |
| dc.identifier.citation | <p>Mitchell, B. G., & Ferguson, J. K. (2016). The use of clinical coding data for the surveillance of healthcare-associated urinary tract infections in Australia.<em> Infection, Disease and Health, 21</em>(1), 32-35. doi: 10.1016/j.idh.2016.03.002</p> | |
| dc.identifier.doi | https://doi.org/10.1016/j.idh.2016.03.002 | |
| dc.identifier.issn | 2468-0451 | |
| dc.identifier.uri | https://research.avondale.edu.au/handle/1897/08560898 | |
| dc.language.iso | en_us | |
| dc.provenance | <p>This article was originally published as:</p> <p>Mitchell, B. G., & Ferguson, J. K. (2016). The use of clinical coding data for the surveillance of healthcare-associated urinary tract infections in Australia.<em> Infection, Disease and Health, 21</em>(1), 32-35. doi: 10.1016/j.idh.2016.03.002</p> <p>ISSN: 2468-0451</p> | |
| dc.relation.ispartof | Infection, Disease and Health | |
| dc.rights | <p>Due to copyright restrictions this article is unavailable for download.</p> <p>This article may be accessed from the publisher <a href="http://dx.doi.org/10.1016/j.idh.2016.03.002">here.</a></p> <p>Staff and Students of Avondale College may access this article from a library PRIMO search <a href="https://avondale-primo.hosted.exlibrisgroup.com/primo-explore/search?vid=AVN">here.</a></p> | |
| dc.subject | urinary tract infections; cross infection; Australia; clinical coding; epidemiology | |
| dc.title | The Use of Clinical Coding Data for the Surveillance of Healthcare-Associated Urinary Tract Infections in Australia | |
| dc.type | Journal Article |