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Hundreds of millions of patients around the world are affected by health care-associated infections (HAI). Every day HAI result in prolonged hospital stays, long-term disability, increased resistance of microorganisms to antimicrobials, massive additional costs for health systems, emotional and personal burden for patients and their family, and unnecessary deaths. To prevent HAI, it is important to identify their causes, understand how big the problem is, and evaluate whether interventions to reduce HAI are successful.
By the end of this course, you will:
- explain basic concepts of epidemiology and their application to HAI surveillance;
- describe how to plan the initial steps for HAI surveillance;
- describe how to assess surveillance of a target population;
- describe how to select surveillance outcomes;
- identify and use standardized HAI case definitions;
- describe the health care-associated infection (HAI) data collection process;
- identify sources of HAI surveillance data;
- explain different types of surveillance methodology for data collection;
- collect appropriate numerator and denominator data;
- explain the methods for assessing the quality of surveillance data;
- describe how surveillance data should be analysed;
- explain HAI risk stratification;
- interpret HAI infection rates;
- prepare a report for HAI surveillance;
- identify how to communicate surveillance information to various groups;
- describe objectives and elements of HAI surveillance evaluation; and
- describe the need for continuous improvement of surveillance systems.
Certificates:
A Record of Achievement will be issued to participants who receive at least 70% on the post-test. You have an unlimited number of attempts to meet the threshold. Participants who receive a Record of Achievement can also download an Open Badge for this course. Click here to learn how.
Course duration: Approximately 3.5 hours.
Published in GI-Mail 03/2023 (English edition).
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