Infection rate

An infection rate or incident rate is the probability or risk of an infection in a population. It is used to measure the frequency of occurrence of new instances of infection within a population during a specific time period.

${\text{Rate of infection}}=K\times {\frac {\text{the number of infections}}{\text{the number of those at risk of infection}}}$

The number of infections equals the cases identified in the study or observed. An example would be HIV infection during a specific time period in the defined population. The population at risk are the cases appearing in the population during the same time period. An example would be all the people in a city during a specific time period. The constant K is assigned a value of 100 to represent a percentage. An example would be to find the percentage of people in a city who are infected with HIV: 6,000 cases in March divided by the population of a city (one million) multiplied by the constant (K) would give an infection rate of 0.6%. ^{[citation needed]}

Calculating the infection rate is used to analyze trends for the purpose of infection and disease control.^[1] An online infection rate calculator has been developed by the Centers for Disease Control and Prevention that allows the determination of the streptococcal A infection rate in a population.^[2]

Clinical applications

Health care facilities routinely track their infection rates according to the guidelines issued by the Joint Commission.^[3] The healthcare-associated infection (HAI) rates measure infection of patients in a particular hospital. This allows rates to compared with other hospitals. These infections can often be prevented when healthcare facilities follow guidelines for safe care. To get payment from Medicare, hospitals are required to report data about some infections to the Centers for Disease Control and Prevention's (CDC's) National Healthcare Safety Network (NHSN). Hospitals currently submit information on central line-associated bloodstream infections (CLABSIs), catheter-associated urinary tract infections (CAUTIs), surgical site infections (SSIs), MRSA Bacteremia, and C. difficile laboratory-identified events. The public reporting of these data is an effort by the Department of Health and Human Services.^[4]

For meaningful comparisons of infection rates, populations must be very similar between the two or more assessments. However, a problem with mean rates is that they cannot reflect differences in risk between populations,^[5]

References

^ "Calculation of Infection Rates" (PDF). Utah Department of Health. 2017. Retrieved 2017-01-09.
^ "Group A Streptococcus Calculator". Centers for Disease Control and Prevention. 4 July 2008. Archived from the original on 2018-07-23. Retrieved 2017-01-09.
^ "Basic Statistical Data Used in Acute Care Facilities" (PDF). JB Learning. Retrieved 2017-01-09.
^ "Healthcare-Associated Infections (HAI) data". Medicare.gov. Retrieved 2017-01-09. This article incorporates text from this source, which is in the public domain.
^ "NHSN Standardized Infection Ratio" (PDF). December 2016. Retrieved 2017-01-09. This article incorporates text from this source, which is in the public domain.

External links

The Society for Healthcare Epidemiology of America epidemiologists or physicians in infection control.
Association for Professionals in Infection Control and Epidemiology infection prevention and control professionals.
The Certification Board of Infection Control and Epidemiology, Inc.

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[1] "Calculation of Infection Rates" (PDF). Utah Department of Health. 2017. Retrieved 2017-01-09.

[2] "Group A Streptococcus Calculator". Centers for Disease Control and Prevention. 4 July 2008. Archived from the original on 2018-07-23. Retrieved 2017-01-09.

[3] "Basic Statistical Data Used in Acute Care Facilities" (PDF). JB Learning. Retrieved 2017-01-09.

[4] "Healthcare-Associated Infections (HAI) data". Medicare.gov. Retrieved 2017-01-09. This article incorporates text from this source, which is in the public domain.

[5] "NHSN Standardized Infection Ratio" (PDF). December 2016. Retrieved 2017-01-09. This article incorporates text from this source, which is in the public domain.

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