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Benchmarking French regions according to their prevalence of healthcare-associated infections
Objective. To propose an original method of benchmarking regions based on their prevalence of healthcare-associated infections (HAIs) and to identify regions with unusual results. Design. To study between-region variability with a three-level hierarchical logistic regression model and a Bayesian non...
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Published in: | International journal for quality in health care 2013-10, Vol.25 (5), p.555-563 |
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Main Authors: | , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites |
Online Access: | Get full text |
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Summary: | Objective. To propose an original method of benchmarking regions based on their prevalence of healthcare-associated infections (HAIs) and to identify regions with unusual results. Design. To study between-region variability with a three-level hierarchical logistic regression model and a Bayesian non-parametric method. Setting. French 2006 national HAIs point prevalence survey. Participants. A total of 336 858 patients from 2289 healthcare facilities in 27 regions. Patients with an imported HAI (1% of the data, 20.7% of infected patients), facilities with |
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ISSN: | 1353-4505 1464-3677 |
DOI: | 10.1093/intqhc/mzt050 |