HAIBA

HAIBA presents the incidence of healthcare-associated infections on eSundhed.

HAIBA provides a unique opportunity to continuously monitor the prevalence of healthcare-associated infections. By using data from the Danish Microbiology Database (MiBa), the National Patient Register (LPR register) and the Danish Central Person Register (CPR), HAIBA identifies the following five types of infections:

• Bacteraemia (bacteria in the blood)
• Urinary tract infection
• Intestinal infection with Clostridium difficile
• Deep infection after scheduled total hip replacement (artificial hip)
• Deep infection after scheduled knee replacement (artificial knee)

If surveillance data are employed actively to improve daily infection control practices in healthcare, the surveillance efforts contribute to preventing and thus decreasing the occurrence of healthcare-associated infections. For HAIBA we focus on building and maintaining dialogue with end-users to establish various ways of disseminating surveillance data to support different user groups in the best way possible.

HAIBA has the following main functions

• Production of available data: HAIBA presents the incidence of healthcare-associated infections on eSundhed
• Delivery of data from HAIBA for use in infection control and clinical practice: Data are delivered weekly through the secure servers of the regions. The regions generate data for local users, e.g., on intranet pages, in monthly reports, and at meetings between infection control units and clinical departments
• National indicators: Data are used to establish and monitor national healthcare targets. These national indicators are also used for estimates by Danish Regions of current key figures for the national healthcare targets.

In 2019, HAIBA was revised to implement LPR3, the new data model for the National Patient Register (LPR), the new National Catalogue of Health Organisations (SOR), and the CPR, and to update case definitions.

Read more about the revision, and what it means for the case definitions and estimates of surveillance numbers in the fact sheet for healthcare personnel (only available in Danish).