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Measuring the effectiveness of hospital-acquired infection prevention

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Published in Studies in Health Technology and Informatics. 2010, vol. 160, no. Pt 1, p. 764-768
Abstract This article deals with data on nosocomial infections acquired in the Geneva University Hospitals. Goal of the work is to derive a model from a hospital-acquired infection (HAI) prevalence survey of year Y and apply them to a prevalence survey of years Y+1, Y+2. This analysis permits to evaluate the effectiveness of preventive measures taken after the prevalence survey in year Y. It also analyzes the robustness of the SVM algorithm on time-variable attributes. The model build on the dataset of year Y gives better results than in a previous study. The application of the model on the Y+1 and Y+2 prevalence surveys shows simultaneously improvements and deteriorations of 5 performance measures. This highlights the effectiveness of prevention and reduces the risk of HAI after the prevalence survey of year Y. We introduce a new method to detect redundancy in a dataset with the SVM algorithm.
Keywords *AlgorithmsCross Infection/*epidemiology/*prevention & controlDisease Notification/*methods/*statistics & numerical dataHumansIncidenceProportional Hazards ModelsRisk Assessment/methodsRisk Factors*Sentinel SurveillanceSwitzerland/epidemiology
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PMID: 20841789
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Research group Groupe Geissbuhler Antoine (informatique médicale) (222)
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IAVINDRASANA, Jimison et al. Measuring the effectiveness of hospital-acquired infection prevention. In: Studies in Health Technology and Informatics, 2010, vol. 160, n° Pt 1, p. 764-768. https://archive-ouverte.unige.ch/unige:20487

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Deposited on : 2012-05-22

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