Literature DB >> 19111367

Estimating the annual burden of health care-associated infections in Finnish adult acute care hospitals.

Mari Kanerva1, Jukka Ollgren, Mikko J Virtanen, Outi Lyytikäinen.   

Abstract

BACKGROUND: We estimated the burden of health care-associated infections (HAIs) occurring in Finnish adult acute care hospitals using national hospitalization data and estimates of HAI based on a recent national prevalence survey.
METHODS: A total of 7531 non-HAI patients and 703 HAI patients (8.5%) identified in the prevalence survey were included in the study. Using the patients' national identity numbers and the prevalence survey date, we obtained data on hospitalizations, including discharge diagnoses from the National Hospital Discharge Registry (NHDR), and the dates and causes of death from the National Population Information System. We converted the prevalence of HAI into incidence using the Rhame-Sudderth formula, assessed the 28-day case fatality of the HAI patients, and then extrapolated the annual estimates of HAI burden from the total number of hospitalizations in adult acute care hospitals in 2005 (n = 804,456). We also assessed the sensitivity of the NHDR diagnoses in identifying HAIs.
RESULTS: The estimated incidence of HAIs was 5.7% (95% confidence interval = 5.0% to 6.5%), and the 28-day case fatality was 9.8%. Thus, >8500 hospitalizations per million population annually would result in at least 1 HAI and approximately 270 HAI-associated deaths within 28 days. The sensitivity of the NHDR diagnoses was 34% (range by infection type, 0% to 67%).
CONCLUSION: Our disease burden estimates can be used in health care planning and resource allocation. The NHDR was not a reliable source for case finding of HAIs.

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Year:  2008        PMID: 19111367     DOI: 10.1016/j.ajic.2008.07.004

Source DB:  PubMed          Journal:  Am J Infect Control        ISSN: 0196-6553            Impact factor:   2.918


  9 in total

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2.  Risk factors for incidence and case-fatality rates of healthcare-associated infections: a 20-year follow-up of a hospital-based cohort.

Authors:  R-F Wang; S-H Shen; A M-F Yen; T-L Wang; T-N Jang; S-H Lee; J-T Wang; H-H Chen
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3.  Changes in the accuracy of administrative data for the detection of surgical site infections.

Authors:  Brian T Bucher; Meng Yang; Julie Arndorfer; Cherie Frame; Jan Orton; Matthew H Samore; Kristin K Dascomb
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Review 4.  Accuracy of administrative data for surveillance of healthcare-associated infections: a systematic review.

Authors:  Maaike S M van Mourik; Pleun Joppe van Duijn; Karel G M Moons; Marc J M Bonten; Grace M Lee
Journal:  BMJ Open       Date:  2015-08-27       Impact factor: 2.692

5.  Mortality related to hospital-associated infections in a tertiary hospital; repeated cross-sectional studies between 2004-2011.

Authors:  Anne Mette Koch; Roy Miodini Nilsen; Hanne Merete Eriksen; Rebecca Jane Cox; Stig Harthug
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6.  Incidence of surgical site infections cannot be derived reliably from point prevalence survey data in Dutch hospitals.

Authors:  A P Meijs; J A Ferreira; S C DE Greeff; M C Vos; M B G Koek
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7.  Prevalence, incidence burden, and clinical impact of healthcare-associated infections and antimicrobial resistance: a national prevalent cohort study in acute care hospitals in Greece.

Authors:  Evangelos I Kritsotakis; Flora Kontopidou; Eirini Astrinaki; Maria Roumbelaki; Eleni Ioannidou; Achilles Gikas
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8.  Viscosity is an important factor of resistance to alcohol-based disinfectants by pathogens present in mucus.

Authors:  Ryohei Hirose; Takaaki Nakaya; Yuji Naito; Tomo Daidoji; Yohei Watanabe; Hiroaki Yasuda; Hideyuki Konishi; Yoshito Itoh
Journal:  Sci Rep       Date:  2017-10-13       Impact factor: 4.379

9.  Estimating the burden of healthcare-associated infections caused by selected multidrug-resistant bacteria Finland, 2010.

Authors:  Mari Kanerva; Jukka Ollgren; Antti J Hakanen; Outi Lyytikäinen
Journal:  Antimicrob Resist Infect Control       Date:  2012-10-19       Impact factor: 4.887

  9 in total

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