Length of Stay and Mortality Associated with Healthcare-Associated Urinary Tract Infections: A Multistate Model

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avondale-bepress-to-dspace.facultyNursing
avondale-bepress.abstract<p><strong>Background:</strong> To evaluate the current incidence, mortality and length of stay associated with healthcare associated urinary tract infections (HAUTIs). <strong>Material/methods:</strong> A non-concurrent cohort study design is used, conducted between 1 January 2010 and 30 June 2014. All patients admitted to one of the eight participating Australian hospitals and who were hospitalised more than two days were included. The primary outcomes measures were the incidence, mortality and excess length of stay associated with healthcare associated urinary tract infections. <strong>Results:</strong> From 162,503 patient admissions, 1.73% (95% CI 1.67–1.80) of admitted patients acquired a HAUTI. Using a multi-state model, the expected extra length of stay due to HAUTI was 4 days, 95% CI 3.1–5.0 days. Using a Cox regression model, infection significantly reduced the rate of discharge (HR 0.78, 95%CI, 0.73-0.83. Women were less likely to die (HR 0.71, 95%CI 0.66-0.75), whereas older patients were more likely to die (HR 1.40, 95%CI 1.38-1.43). Death was rarer in a tertiary referral hospital compared to other hospitals, after adjusting for age and sex (HR 0.74, 95%CI, 0.69-0.78). <strong>Conclusions:</strong> This study is the first study to explore the burden of HAUTIs in hospitals using appropriate statistical methods in a developed country. Our study indicates that the incidence of HAUTI in addition to its associated extra length of stay in hospital, present a burden to the hospital system. With increasing incidence of UTI due to antimicrobial resistant organisms, surveillance and interventions to reduce the incidence of HAUTI are required.</p>
avondale-bepress.articleid1004
avondale-bepress.authorsBrett G Mitchell
avondale-bepress.authorsJohn K Ferguson
avondale-bepress.authorsMalcolm Anderson
avondale-bepress.authorsJacqueline Sear
avondale-bepress.authorsAdrian G Barnett
avondale-bepress.context-key8810079
avondale-bepress.coverpage-urlhttps://research.avondale.edu.au/nh_conferences/5
avondale-bepress.document-typeconference
avondale-bepress.field.author_faculty_disciplineNursing
avondale-bepress.field.comments<p>Used by permission: the authors.</p> <p>This poster presentation can be accessed from the publisher <a href="http://2016.eccmid.org/">here.</a></p>
avondale-bepress.field.custom_citation<p>Mitchell, B. G., Ferguson, J. K., Anderson, M., Sear, J., & Barnett, A. (2016, April). <em>Length of stay and mortality associated with healthcare-associated urinary tract infections: A multistate model</em>. Poster presented at the 26th European Congress of Clinical Microbiology and Infectious Diseases (ECCMID) Conference, Amsterdam, The Netherlands.</p>
avondale-bepress.field.embargo_date2016-07-06T00:00:00Z
avondale-bepress.field.for111003 Clinical Nursing: Secondary (Acute Care)
avondale-bepress.field.proceedings26th European Congress of Clinical Microbiology and Infectious Diseases (ECCMID) Conference
avondale-bepress.field.publication_date2016-04-01T00:00:00Z
avondale-bepress.field.reportable_itemsE5
avondale-bepress.field.source_fulltext_urlhttps://2016.eccmid.org/
avondale-bepress.field.source_publication<p>This conference presentation was originally published as:</p> <p>Mitchell, B. G., Ferguson, J. K., Anderson, M., Sear, J., & Barnett, A. (2016, April). <em>Length of stay and mortality associated with healthcare-associated urinary tract infections: A multistate model</em>. Poster presented at the 26th European Congress of Clinical Microbiology and Infectious Diseases (ECCMID) Conference, Amsterdam, The Netherlands.</p>
avondale-bepress.fulltext-urlhttps://research.avondale.edu.au/cgi/viewcontent.cgi?article=1004&amp;context=nh_conferences&amp;unstamped=1
avondale-bepress.keywordsurinary tract infection
avondale-bepress.keywordsinfection
avondale-bepress.keywordshospital
avondale-bepress.keywordslength of stay
avondale-bepress.keywordseconomics
avondale-bepress.label5
avondale-bepress.publication-date2016-04-01T00:00:00Z
avondale-bepress.publication-titleNursing and Health Conference Papers
avondale-bepress.statepublished
avondale-bepress.submission-date2016-07-06T21:59:22Z
avondale-bepress.submission-pathnh_conferences/5
avondale-bepress.titleLength of Stay and Mortality Associated with Healthcare-Associated Urinary Tract Infections: A Multistate Model
avondale-bepress.typearticle
dc.contributor.authorBarnett, Adrian G.
dc.contributor.authorSear, Jacqueline
dc.contributor.authorAnderson, Malcolm
dc.contributor.authorFerguson, John K.
dc.contributor.authorMitchell, Brett G.
dc.date.accessioned2023-11-01T00:23:44Z
dc.date.available2023-11-01T00:23:44Z
dc.date.issued2016-04-01
dc.date.submitted2016-07-06T21:59:22Z
dc.description.abstract<p><strong>Background:</strong> To evaluate the current incidence, mortality and length of stay associated with healthcare associated urinary tract infections (HAUTIs). <strong>Material/methods:</strong> A non-concurrent cohort study design is used, conducted between 1 January 2010 and 30 June 2014. All patients admitted to one of the eight participating Australian hospitals and who were hospitalised more than two days were included. The primary outcomes measures were the incidence, mortality and excess length of stay associated with healthcare associated urinary tract infections. <strong>Results:</strong> From 162,503 patient admissions, 1.73% (95% CI 1.67–1.80) of admitted patients acquired a HAUTI. Using a multi-state model, the expected extra length of stay due to HAUTI was 4 days, 95% CI 3.1–5.0 days. Using a Cox regression model, infection significantly reduced the rate of discharge (HR 0.78, 95%CI, 0.73-0.83. Women were less likely to die (HR 0.71, 95%CI 0.66-0.75), whereas older patients were more likely to die (HR 1.40, 95%CI 1.38-1.43). Death was rarer in a tertiary referral hospital compared to other hospitals, after adjusting for age and sex (HR 0.74, 95%CI, 0.69-0.78). <strong>Conclusions:</strong> This study is the first study to explore the burden of HAUTIs in hospitals using appropriate statistical methods in a developed country. Our study indicates that the incidence of HAUTI in addition to its associated extra length of stay in hospital, present a burden to the hospital system. With increasing incidence of UTI due to antimicrobial resistant organisms, surveillance and interventions to reduce the incidence of HAUTI are required.</p>
dc.identifier.citation<p>Mitchell, B. G., Ferguson, J. K., Anderson, M., Sear, J., & Barnett, A. (2016, April). <em>Length of stay and mortality associated with healthcare-associated urinary tract infections: A multistate model</em>. Poster presented at the 26th European Congress of Clinical Microbiology and Infectious Diseases (ECCMID) Conference, Amsterdam, The Netherlands.</p>
dc.identifier.urihttps://research.avondale.edu.au/handle/123456789/08810079
dc.language.isoen_us
dc.provenance<p>This conference presentation was originally published as:</p> <p>Mitchell, B. G., Ferguson, J. K., Anderson, M., Sear, J., & Barnett, A. (2016, April). <em>Length of stay and mortality associated with healthcare-associated urinary tract infections: A multistate model</em>. Poster presented at the 26th European Congress of Clinical Microbiology and Infectious Diseases (ECCMID) Conference, Amsterdam, The Netherlands.</p>
dc.rights<p>Used by permission: the authors.</p> <p>This poster presentation can be accessed from the publisher <a href="http://2016.eccmid.org/">here.</a></p>
dc.subjecturinary tract infection
dc.subjectinfection
dc.subjecthospital
dc.subjectlength of stay
dc.subjecteconomics
dc.titleLength of Stay and Mortality Associated with Healthcare-Associated Urinary Tract Infections: A Multistate Model
dc.typeConference Publication
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