Improving hospital-acquired infection rates: the CDC experience.
BACKGROUND
The National Nosocomial Infections Surveillance (NNIS) System, begun in 1970 by the Centers for Disease Control to collect data on hospital-acquired infections, is one of the oldest continuously operating clinical performance indicator systems in the United States. Growth of the system, from 19 to 230 hospitals, has been accompanied by developments such as the evolution from hospitalwide to targeted surveillance, improved data processing and telecommunications for data collection and reporting, and risk adjustment.
The NNIS System provides specific, standardized methods for data collection and uses device-associated, device-day rates to risk adjust the data and make it meaningful for interhospital comparison. The system has been used as a tool for improving quality of care through prevention of nosocomial infections. For example, an 800-bed teaching hospital's rate of ventilator-associated nosocomial pneumonia in the surgical intensive care unit-49.5 infections per 1,000 ventilator days-was in excess of the 90th percentile. Improvements in care, including changing tubing and cascades every 48 hours and Ambu bags every 24 hours, as well as increased clinical evaluation of patients, was followed 12 months later by a decrease to 25.8 infections, well below the 90th percentile.
Since 1992, staff from NNIS hospitals have met in a biennial conference to learn about advances in nosocomial infection surveillance and to share information with one another on infection control and quality improvement programs.


CONCLUSIONS
The NNIS experience can be used as a source of guidance for assessing the effectiveness and utility of other indicator systems.
Gaynes
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RP
Hospital Infections Program, Centers for Disease Control and Prevention, Atlanta, GA 30333, USA.
Solomon
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S
D000328:Adult; D002487:Centers for Disease Control and Prevention, U.S.; D003428:Cross Infection / Q000517:prevention & control*; D003625:Data Collection / Q000592:standards; D003627:Data Interpretation, Statistical; D006761:Hospitals / Q000592:standards*; D006801:Humans; D007223:Infant; D007231:Infant, Newborn; D007255:Information Services; D017063:Outcome Assessment, Health Care; D011159:Population Surveillance; D011787:Quality of Health Care; D018570:Risk Assessment; D012720:Severity of Illness Index; D017749:Total Quality Management; D014481:United States