This protocol describes a survey undertaken to acquire a snapshot of the distribution of Clostridioides difficile strains in tertiary acute care hospitals in the European Union/European Economic Area (EU/EEA) in 2022–2023
ECDC publishes a protocol developed for the surveillance of Clostridioides (Clostridium) difficile infections (CDI) to address the lack of standardised surveillance of CDI in EU Member States.
This updated protocol prescribes the methodology, and provides the data collection tools required to achieve the objectives of European surveillance of CDIs.
This document is intended for hospital staff that use HelicsWin.Net to collect or administer data collected using ECDC’s HAI-Net surveillance of healthcare-associated infections methods (HAINet PPS and ICU).
This document establishes a protocol for the case detection, laboratory diagnosis and environmental testing of Mycobacterium chimaera infections which are potentially associated with heater-cooler units.
This document is intended for hospital staff that use HelicsWin.Net to collect or administer data collected during the ECDC Point Prevalence Survey (PPS) of healthcare-associated infections (HAI) and antimicrobial use (AMU) in acute care hospitals.
In May 2012 a collection of five strains of Haemophilus spp was sent to 28 participating reference laboratories in the IBD-labnet surveillance network for quality assurance testing. The laboratories were asked to characterise the five strains by performing standard laboratory protocols for the methods usually used by the laboratory for: species identification, biotyping and serotyping by serological methods and/or PCR.
The results of this EQA are published in the this report.
HELICSwin.Net is a software application developed for the manual entry of data collected during the ECDC point prevalence survey (PPS) of healthcare-associated infections (HAI) and antimicrobial use (AU) in acute care hospitals.