Powered by OpenAIRE graph
Found an issue? Give us feedback
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Archive ouverte UNIG...arrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Critical Care Medicine
Article . 2007 . Peer-reviewed
Data sources: Crossref
versions View all 4 versions
addClaim

This Research product is the result of merged Research products in OpenAIRE.

You have already added 0 works in your ORCID record related to the merged Research product.

The effect of workload on infection risk in critically ill patients*

Authors: Hugonnet, Stéphane; Chevrolet, Jean-Claude; Pittet, Didier;

The effect of workload on infection risk in critically ill patients*

Abstract

There is growing evidence that low nurse staffing jeopardizes quality of patient care. The objective of the study was to determine whether low staffing level increases the infection risk in critical care.Observational, single-center, prospective cohort study.Medical intensive care unit of the University of Geneva Hospitals, Switzerland.All patients admitted over a 4-yr period.None.Study variables included all infections acquired in critical care, daily nurse-to-patient ratio, demographic characteristics, admission diagnosis and severity score, comorbidities, daily individual exposure to invasive devices, and selected drugs. Of a cohort of 1,883 patients totaling 10,637 patient-days, 415 (22%) developed at least one healthcare-associated infection while in critical care. Overall infection rate was 64.5 episodes per 1000 patient-days. Infected patients experienced higher mortality with a longer duration of stay both in critical care and in the hospital than noninfected patients (all p 30% infection risk reduction (incidence rate ratio, 0.69; 95% confidence interval, 0.50-0.95). We estimated that 26.7% of all infections could be avoided if the nurse-to-patient ratio was maintained >2.2.Staffing is a key determinant of healthcare-associated infection in critically ill patients. Assuming causality, a substantial proportion of all infections could be avoided if nurse staffing were to be maintained at a higher level.

Related Organizations
Keywords

Nursing Staff, Hospital/education/ supply & distribution, Male, Critical Care, Critical Illness, Personnel Staffing and Scheduling, Infection Control/organization & administration, Intubation/adverse effects, Comorbidity, Nursing Staff, Hospital, Catheterization, Hospitals, University, Outcome Assessment (Health Care), Switzerland/epidemiology, Risk Factors, 616, Outcome Assessment, Health Care, Cross Infection/epidemiology/etiology/prevention & control, Humans, Hospital Mortality, Prospective Studies, Aged, Cross Infection, Infection Control, Catheterization/adverse effects, Critical Illness/mortality/nursing, Incidence, Length of Stay, Workload/ statistics & numerical data, Personnel Staffing and Scheduling/ organization & administration, Intensive Care Units, Length of Stay/statistics & numerical data, Female, Critical Care/manpower, Intubation, Risk Reduction Behavior, Intensive Care Units/ manpower, ddc: ddc:616

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    258
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 1%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 1%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 1%
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
258
Top 1%
Top 1%
Top 1%
Upload OA version
Are you the author of this publication? Upload your Open Access version to Zenodo!
It’s fast and easy, just two clicks!