Measuring and Monitoring Healthcare-Associated Infections: A Canadian Collaboration to Better Understand the...

Area of Science:

• Healthcare epidemiology
• Infection prevention and control
• Public health surveillance

Background:

• Healthcare-associated infections (HAIs) pose a significant risk to hospitalized patients in Canada, contributing to increased morbidity and mortality.
• Despite the known risks, consistent measurement and monitoring of HAIs are lacking across Canadian healthcare facilities.
• Existing data collection methods present challenges in establishing reliable benchmarks and targets for HAI reduction.

Purpose of the Study:

• To highlight the problem of healthcare-associated infections (HAIs) in Canadian hospitals.
• To identify inconsistencies in standardized HAI case definitions and surveillance practices.
• To underscore the difficulties in setting national benchmarks and targets due to these inconsistencies.

Main Methods:

• Analysis of current surveillance practices for healthcare-associated infections (HAIs) in Canadian hospitals.
• Review of existing case definitions and monitoring protocols for HAIs.
• Identification of inconsistencies in data collection and reporting.

Main Results:

• Significant variability exists in the application of standardized HAI case definitions across Canadian hospitals.
• Inconsistent surveillance practices impede the accurate measurement of HAI prevalence and incidence.
• The lack of standardized data makes it challenging to establish meaningful national benchmarks and reduction targets.

Conclusions:

• Standardized surveillance and consistent use of case definitions are crucial for effective HAI monitoring in Canada.
• Addressing these inconsistencies is essential to accurately assess the burden of HAIs and implement targeted prevention strategies.
• Improved data quality will enable the setting of realistic benchmarks and facilitate progress in reducing HAIs in Canadian healthcare settings.