RESUMEN
The National Nosocomial Infections Surveillance (NNIS) system is the oldest and largest monitoring system for health care-acquired infections in the United States. This report describes both the characteristics of NNIS hospitals compared with those of US hospitals with 100 beds or more and their infection control programs. Overall, NNIS hospitals tend to have more hospital beds than the average for-comparable US hospitals. The majority of NNIS hospitals have affiliations with academic medical centers, and most have substantial intensive care units. Even though infection control professionals in NNIS hospitals spend most of their time in inpatient settings, 40% of their time is also spent in a variety of other settings, including home health, outpatient surgery or clinics, extended care facilities, employee health and quality management, and other clinical or administrative activities. As described in this report, the infrastructure of the NNIS system offers a national resource on which to build improved voluntary patient safety monitoring efforts, as outlined in the recent Institute of Medicine report on medical errors.
Asunto(s)
Infección Hospitalaria/prevención & control , Hospitales , Control de Infecciones/estadística & datos numéricos , Humanos , Profesionales para Control de Infecciones/organización & administración , Encuestas y Cuestionarios , Estados UnidosRESUMEN
Successful efforts to prevent health-care acquired infections occur daily in U.S. hospitals. However, few of these "success stories" are presented in the medical literature or discussed at professional meetings. Key components of successful prevention efforts include multidisciplinary teams, appropriate educational interventions, and data dissemination to clinical staff.
Asunto(s)
Infección Hospitalaria/prevención & control , Programas Nacionales de Salud/tendencias , Garantía de la Calidad de Atención de Salud/tendencias , Centers for Disease Control and Prevention, U.S. , Estados UnidosRESUMEN
We describe the Centers for Disease Control and Prevention's National Nosocomial Infections Surveillance system. Elements of the system critical for successful reduction of nosocomial infection rates include voluntary participation and confidentiality; standard definitions and protocols; identification of populations at high risk; site-specific, risk- adjusted infection rates comparable across institutions; adequate numbers of trained infection control professionals; dissemination of data to health-care providers; and a link between monitored rates and prevention efforts.
Asunto(s)
Infección Hospitalaria/prevención & control , Bases de Datos Factuales , Notificación de Enfermedades/estadística & datos numéricos , Programas Nacionales de Salud/tendencias , Vigilancia de la Población , Centers for Disease Control and Prevention, U.S. , Infección Hospitalaria/epidemiología , Recolección de Datos , Humanos , Programas Nacionales de Salud/estadística & datos numéricos , Estados Unidos/epidemiologíaRESUMEN
OBJECTIVE: To help define the scope of nosocomial legionnaire's disease (LD) and to assess use of recommended diagnostic methods and transmission control practices. METHODS: We surveyed 253 hospitals participating in the National Nosocomial Infections Surveillance (NNIS) System. The anonymous survey included questions about episodes of nosocomial LD, environmental sampling practices, maintenance of hospital water systems, and diagnostic techniques. RESULTS: Of 192 hospitals that responded, 29% reported at least one episode of nosocomial LD from 1990 through 1996, and 61% of these reported at least two episodes. Of 79 hospitals with transplant programs, 42% reported nosocomial LD, compared with 20% of hospitals without transplant programs. Environmental sampling had been conducted by 55% of hospitals, including 79% of those reporting nosocomial LD. Legionella were isolated in 34% that sampled potable water and 19% that sampled cooling system reservoirs. Supplemental potable-water decontamination systems were installed in 20% of hospitals. Only 19% routinely performed testing for legionellosis among patients at high risk for nosocomial LD. CONCLUSIONS: Nosocomial LD is relatively common among NNIS hospitals, especially those performing organ transplants. Environmental sampling for Legionella is a common practice among NNIS hospitals, and Legionella often are isolated from sampled hospital cooling towers and hospital potable-water systems. Hospitals have responded to suspected nosocomial LD infection with a variety of water sampling and control strategies; some have not attempted to sample or decontaminate water systems despite identified transmission.
Asunto(s)
Técnicas Bacteriológicas , Infección Hospitalaria/diagnóstico , Técnicas y Procedimientos Diagnósticos , Encuestas Epidemiológicas , Legionelosis/diagnóstico , Adulto , Preescolar , Infección Hospitalaria/epidemiología , Descontaminación/métodos , Humanos , Legionella/aislamiento & purificación , Legionelosis/epidemiología , Encuestas y Cuestionarios , Estados Unidos/epidemiología , Microbiología del AguaRESUMEN
OBJECTIVE: To assess the accuracy of nosocomial infections data reported on patients in the intensive-care unit by nine hospitals participating in the National Nosocomial Infections Surveillance (NNIS) System. DESIGN: A pilot study was done in two phases to review the charts of selected intensive-care-unit patients who had nosocomial infections reported to the NNIS System. The charts of selected high- and low-risk patients in the same cohort who had no infections reported to the NNIS System also were included. In phase I, trained data collectors reviewed a sample of charts for nosocomial infections. Retrospectively detected infections that matched with previously reported infections were deemed to be true infections. In phase II, two Centers for Disease Control and Prevention (CDC) epidemiologists reexamined a sample of charts for which a discrepancy existed. Each sampled infection either was confirmed or disallowed by the epidemiologists. Confirmed infections also were deemed to be true infections. True infections from both phases were used to estimate the accuracy of reported NNIS data by calculating the predictive value positive, sensitivity, and specificity at each major infection site and the "other sites." RESULTS: The data collectors examined a total of 1,136 patients' charts in phase I. Among these charts were 611 infections that the study hospitals had reported to the CDC. The data collectors retrospectively matched 474 (78%) of the prospectively identified infections, but also detected 790 infections that were not reported prospectively. Phase II focused on the discrepant infections: the 137 infections that were identified prospectively and reported but not detected retrospectively, and the 790 infections that were detected retrospectively but not reported previously. The CDC epidemiologists examined a sample of 113 of the discrepant reported infections and 369 of the discrepant detected infections, and estimated that 37% of all discrepant reported infections and 43% of all discrepant detected infections were true infections. The predictive value positive for reported bloodstream infections, pneumonia, surgical-site infection, urinary tract infection, and other sites was 87%, 89%, 72%, 92%, and 80%, respectively; the sensitivity was 85%, 68%, 67%, 59%, and 30%, respectively; and the specificity was 98.3%, 97.8%, 97.7%, 98.7%, and 98.6%, respectively. CONCLUSIONS: When the NNIS hospitals in the study reported a nosocomial infection, the infection most likely was a true infection, and they infrequently reported conditions that were not infections. The hospitals also identified and reported most of the nosocomial infections that occurred in the patients they monitored, but accuracy varied by infection site. Primary bloodstream infection was the most accurately identified and reported site. Measures that will be taken to improve the quality of the infection data reported to the NNIS System include reviewing the criteria for definitions of infections and other data fields, enhancing communication between the CDC and NNIS hospitals, and improving the training of surveillance personnel in NNIS hospitals.
Asunto(s)
Infección Hospitalaria/epidemiología , Notificación de Enfermedades/normas , Unidades de Cuidados Intensivos/estadística & datos numéricos , Vigilancia de la Población , Recolección de Datos , Humanos , Proyectos Piloto , Estados UnidosRESUMEN
For valid comparisons with the published NNIS nosocomial infection rates, hospitals must define data elements in the same way. Definitions for infections, risk factors, and populations monitored are specified in the NNIS System, but thus far only infection definitions and the list of NNIS operative procedure categories have been published. This article defines other key terms used in the NNIS System.
Asunto(s)
Centers for Disease Control and Prevention, U.S. , Infección Hospitalaria/prevención & control , Sistemas de Registros Médicos Computarizados/organización & administración , Vocabulario Controlado , Infección Hospitalaria/clasificación , Infección Hospitalaria/epidemiología , Hospitales , Humanos , Factores de Riesgo , Terminología como Asunto , Estados UnidosAsunto(s)
Infección Hospitalaria/epidemiología , Vigilancia de la Población , Adulto , Niño , Preescolar , Recolección de Datos/estadística & datos numéricos , Humanos , Profesionales para Control de Infecciones , Unidades de Cuidados Intensivos/estadística & datos numéricos , Factores de Riesgo , Infección de la Herida Quirúrgica/epidemiología , Estados Unidos/epidemiología , Ventiladores Mecánicos/estadística & datos numéricosRESUMEN
An estimated 2 million patients develop nosocomial infections in the United States annually. The increasing number of antimicrobial agent-resistant pathogens and high-risk patients in hospitals are challenges to progress in preventing and controlling these infections. While Escherichia coli and Staphylococcus aureus remain the most common pathogens isolated overall from nosocomial infections, coagulase-negative staphylococci (CoNS), organisms previously considered contaminants in most cultures, are now the predominant pathogens in bloodstream infections. The growing number of antimicrobial agent-resistant organisms is troublesome, particularly vancomycin-resistant CoNS and Enterococcus spp. and Pseudomonas aeruginosa resistant to imipenem. The active involvement and cooperation of the microbiology laboratory are important to the infection control program, particularly in surveillance and the use of laboratory services for epidemiologic purposes. Surveillance is used to identify possible infection problems, monitor infection trends, and assess the quality of care in the hospital. It requires high-quality laboratory data that are timely and easily accessible.
Asunto(s)
Infección Hospitalaria/prevención & control , Control de Infecciones/métodos , Laboratorios de Hospital , Microbiología , Infecciones Bacterianas/tratamiento farmacológico , Infecciones Bacterianas/epidemiología , Infecciones Bacterianas/prevención & control , Infecciones Bacterianas/transmisión , Infección Hospitalaria/epidemiología , Infección Hospitalaria/microbiología , Farmacorresistencia Microbiana , Humanos , Estados Unidos/epidemiologíaRESUMEN
The National Nosocomial Infections Surveillance (NNIS) System is an ongoing collaborative surveillance system among the Centers for Disease Control (CDC) and United States hospitals to obtain national data on nosocomial infections. This system provides comparative data for hospitals and can be used to identify changes in infection sites, risk factors, and pathogens, and develop efficient surveillance methods. Data are collected prospectively using four surveillance components: hospital-wide, intensive care unit, high-risk nursery, and surgical patient. The limitations of NNIS data include the variability in case-finding methods, infrequency or unavailability of culturing, and lack of consistent methods for post-discharge surveillance. Future plans include more routine feedback of data, studies on the validity of NNIS data, new components, a NNIS consultant group, and more rapid data exchange with NNIS hospitals. Increasing the number of NNIS hospitals and cooperating with other agencies to exchange data may allow NNIS data to be used better for generating benchmark nosocomial infection rates. The NNIS system will continue to evolve as it seeks to find more effective and efficient ways to measure the nosocomial infection experience and assess the influence of patient risk, changes in the delivery of hospital care, and changes in infection control practices on these measures.
Asunto(s)
Centers for Disease Control and Prevention, U.S. , Infección Hospitalaria/epidemiología , Recolección de Datos , Humanos , Estados UnidosRESUMEN
To perform a valid comparison of rates among surgeons, among hospitals, or across time, surgical wound infection (SWI) rates must account for the variation in patients' underlying severity of illness and other important risk factors. From January 1987 through December 1990, 44 National Nosocomial Infections Surveillance System hospitals reported data collected under the detailed option of the surgical patient surveillance component protocol, which includes definitions of eligible patients, operations, and nosocomial infections. Pooled mean SWI rates (number of infections per 100 operations) within each of the categories of the traditional wound classification system were 2.1, 3.3, 6.4, and 7.1, respectively. A risk index was developed to predict a surgical patient's risk of acquiring an SWI. The risk index score, ranging from 0 to 3, is the number of risk factors present among the following: (1) a patient with an American Society of Anesthesiologists preoperative assessment score of 3, 4, or 5, (2) an operation classified as contaminated or dirty-infected, and (3) an operation lasting over T hours, where T depends upon the operative procedure being performed. The SWI rates for patients with scores of 0, 1, 2, and 3 were 1.5, 2.9, 6.8, and 13.0, respectively. The risk index is a significantly better predictor of SWI risk than the traditional wound classification system and performs well across a broad range of operative procedures.
Asunto(s)
Procedimientos Quirúrgicos Operativos , Infección de la Herida Quirúrgica/epidemiología , Centers for Disease Control and Prevention, U.S. , Humanos , Procedimientos Quirúrgicos Operativos/estadística & datos numéricos , Infección de la Herida Quirúrgica/clasificación , Estados UnidosRESUMEN
To determine which intensive care unit (ICU) infection rate may be best for interhospital and intrahospital comparisons and to assess the influence of invasive devices and type of ICU on infection rates, we analyzed data from the National Nosocomial Infections Surveillance System. From October 1986 to December 1990, 79 hospitals reported 2,334 hospital-months of data from 196 hospital units. The median overall infection rate was 9.2 infections per 100 patients. However, this infection rate had a strong positive correlation with average length of ICU stay (r = 0.60, p less than 0.0001). When patient-days was used in the denominator, the median overall nosocomial infection rate was 23.7 infections per 1,000 patient-days. Although there was a marked reduction in the correlation with average length of stay, this rate had a strong positive correlation with device utilization (r = 0.59, p less than 0.0001). To attempt to control for average length of stay and device utilization, we examined device-associated nosocomial infection rates. Central line-associated bloodstream infection rates, catheter-associated urinary tract infection rates, and ventilator-associated pneumonia rates varied by ICU type. The distributions of device-associated infection rates were different between some ICU types and were not different between others (coronary and medical ICUs or medical-surgical and surgical ICUs). Comparison of device-associated infection rates and overall device utilization identified hospital units with outlier infection rates or device utilization. These data show that: (1) choice of denominator is critical when calculating ICU infection rates; (2) device-associated infection rates vary by ICU type; and (3) intrahospital and interhospital comparison of ICU infection rates may best be made by comparing ICU-type specific, device-associated infection rates.
Asunto(s)
Infección Hospitalaria/epidemiología , Unidades de Cuidados Intensivos , Adulto , Bacteriemia/epidemiología , Bacteriemia/etiología , Cateterismo/efectos adversos , Niño , Humanos , Unidades de Cuidado Intensivo Pediátrico , Tiempo de Internación , Respiración Artificial/efectos adversos , Estados Unidos/epidemiología , Infecciones Urinarias/epidemiología , Infecciones Urinarias/etiologíaRESUMEN
To determine nosocomial infection (NI) rates among neonatal intensive care units (NICUs) that are useful for interhospital comparison, we analyzed data reported in 1986-1990 from 35 hospitals that have level III NICUs and used standard National Nosocomial Infections Surveillance protocols and NI site definitions. Overall rates of NI were calculated as the number of NI per 100 patients (overall NI patient rates) or the number of NI per 1,000 NICU patient-days (overall NI patient-day rates). A strong positive association was found between overall NI patient rates and the neonates' average length of stay, a marker for duration of exposure to important risk factors. No correlation was found between overall NI patient-day rates and average length of stay. However, a strong positive correlation between overall NI patient-day rates and a measure of device utilization (total device-days/total patient-days x 100) was found. Additionally, a positive correlation between overall NI patient rates and device utilization was found. Stratification among the three birthweight groups (less than 1,500 g, 1,500-2,500 g, greater than 2,500 g) did not eliminate the need to control for variations in these factors among NICUs. Device-associated, device-day infection rates, calculated as the number of umbilical or central line-associated blood-stream infections per 1,000 umbilical or central line-days and the number of ventilator-associated pneumonias per 1,000 ventilator days, were not correlated with a unit's site-specific device utilization. These data suggest that calculation of device-associated NI rates in NICUs using device-days as the denominator helps to control for the duration of exposure to the primary risk factor and will be more meaningful for purposes of interhospital comparison.
Asunto(s)
Infección Hospitalaria/epidemiología , Unidades de Cuidado Intensivo Neonatal , Peso al Nacer , Cateterismo/efectos adversos , Humanos , Recién Nacido , Tiempo de Internación , Respiración Artificial/efectos adversos , Factores de Riesgo , Sepsis/epidemiología , Sepsis/etiología , Estados Unidos/epidemiologíaRESUMEN
We analyzed 101,479 nosocomial infections in 75,398 adult patients (greater than 15 years) that were reported to the National Nosocomial Infections Surveillance (NNIS) system between 1986 and 1990 by 89 hospitals using the NNIS hospital-wide surveillance component. Overall, 54% of the infections occurred in elderly patients (greater than or equal to 65 years). In the elderly, 44% of the infections were urinary tract infections (UTIs), 18% were pneumonias, 11% were surgical wound infections (SWIs), 8% were bloodstream infections (BSIs), and the remainder were infections at other sites. When we compared the infections in elderly patients with those in younger adult patients, ages 15 to 64 years, a far greater percentage of the infections in elderly patients were UTIs, and there were more pneumonias than SWIs. Elderly and younger patients with ventilator-associated pneumonia were about 1.5 times more likely to develop a secondary BSI than those with pneumonia not associated with ventilator use. When the pathogens isolated from the infections were compared to those reported to the NNIS system in 1984, the percentage that were coagulase-negative staphylococci had increased in both elderly and younger patients. The patient died in 12% of all of the infections. Surveillance personnel reported that 54% of the infections in elderly infected patients who died were related to death compared with 59% in younger infected patients who died. When the infection was related to the patient's death, it was most often pneumonia or a BSI. The risk of an infection-related death was significantly higher when the infected patient developed a secondary BSI. Infection prevention efforts should target infections that occur frequently, are amenable to intervention, and have an adverse outcome.
Asunto(s)
Infección Hospitalaria/epidemiología , Factores de Edad , Anciano , Infección Hospitalaria/microbiología , Infección Hospitalaria/mortalidad , Recolección de Datos , Humanos , Neumonía/epidemiología , Neumonía/etiología , Neumonía/microbiología , Respiración Artificial/efectos adversos , Factores de Riesgo , Sepsis/epidemiología , Sepsis/etiología , Sepsis/microbiología , Estados Unidos/epidemiología , Cateterismo Urinario/efectos adversos , Infecciones Urinarias/epidemiología , Infecciones Urinarias/etiología , Infecciones Urinarias/microbiologíaRESUMEN
More than 25,000 primary bloodstream infections (BSIs) were identified by 124 National Nosocomial Infections Surveillance System hospitals performing hospital-wide surveillance during the 10-year period 1980-1989. These hospitals reported 6,729 hospital-months of data, during which time approximately 9 million patients were discharged. BSI rates by hospital stratum (based on bed size and teaching affiliation) and pathogen groups were calculated. In 1989, the overall BSI rates for small (less than 200 beds) nonteaching, large nonteaching, small (less than 500 beds) teaching, and large teaching hospitals were 1.3, 2.5, 3.8, and 6.5 BSIs per 1,000 discharges, respectively. Over the period 1980-1989, significant increases (p less than 0.0001) were observed within each hospital stratum, in the overall BSI rate and the BSI rate due to each of the following pathogen groups: coagulase-negative staphylococci, Staphylococcus aureus, enterococci, and Candida species. In contrast, the BSI rate due to gram-negative bacilli remained stable over the decade, in all strata. Except for small nonteaching hospitals, the greatest increase in BSI rates was observed in coagulase-negative staphylococci (the percentage increase ranged between 424% and 754%), followed by Candida species (219-487%). In small nonteaching hospitals, the greatest increase was for S. aureus (283%), followed by enterococci (169%) and coagulase-negative staphylococci (161%). Our analysis documents the emergence over the last decade of coagulase-negative staphylococci as one of the most frequently occurring pathogens in BSI.
Asunto(s)
Bacteriemia/epidemiología , Infección Hospitalaria/epidemiología , Bacteriemia/microbiología , Infección Hospitalaria/microbiología , Capacidad de Camas en Hospitales , Hospitales de Enseñanza , Humanos , Estados Unidos/epidemiologíaRESUMEN
The National Nosocomial Infections Surveillance System (NNIS) is an ongoing collaborative surveillance system sponsored by the Centers for Disease Control (CDC) to obtain national data on nosocomial infections. The CDC uses the data that are reported voluntarily by participating hospitals to estimate the magnitude of the nosocomial infection problem in the United States and to monitor trends in infections and risk factors. Hospitals collect data by prospectively monitoring specific groups of patients for infections with the use of protocols called surveillance components. The surveillance components used by the NNIS are hospitalwide, intensive care unit, high-risk nursery, and surgical patient. Detailed information including demographic characteristics, infections and related risk factors, pathogens and their antimicrobial susceptibilities, and outcome, is collected on each infected patient. Data on risk factors in the population of patients being monitored are also collected; these permit the calculation of risk-specific rates. An infection risk index, which includes the traditional wound class, is being evaluated as a predictor of the likelihood that an infection will develop after an operation. A major goal of the NNIS is to use surveillance data to develop and evaluate strategies to prevent and control nosocomial infections. The data collected with the use of the surveillance components permit the calculation of risk-specific infection rates, which can be used by individual hospitals as well as national health-care planners to set priorities for their infection control programs and to evaluate the effectiveness of their efforts. The NNIS will continue to evolve in finding more effective and efficient ways to assess the influence of patient risk and changes in the financing of health care on the infection rate.
Asunto(s)
Infección Hospitalaria/epidemiología , Sistemas de Información , Unidades de Cuidados Intensivos/normas , Vigilancia de la Población , Centers for Disease Control and Prevention, U.S. , Infección Hospitalaria/prevención & control , Recolección de Datos , Control de Formularios y Registros , Humanos , Unidades de Cuidado Intensivo Pediátrico/normas , Salas Cuna en Hospital/normas , Servicio de Cirugía en Hospital/normas , Estados Unidos/epidemiologíaAsunto(s)
Infección Hospitalaria/diagnóstico , Infecciones/diagnóstico , Instituciones de Cuidados Especializados de Enfermería/normas , Infección Hospitalaria/prevención & control , Técnica Delphi , Enfermedades Gastrointestinales/diagnóstico , Humanos , Control de Infecciones , Infecciones del Sistema Respiratorio/diagnóstico , Infecciones del Sistema Respiratorio/prevención & control , Enfermedades Cutáneas Infecciosas/diagnóstico , Terminología como Asunto , Infecciones Urinarias/diagnósticoRESUMEN
The Centers for Disease Control (CDC) has developed a new set of definitions for surveillance of nosocomial infections. The new definitions combine specific clinical findings with results of laboratory and other tests that include recent advances in diagnostic technology; they are formulated as algorithms. For certain infections in which the clinical or laboratory manifestations are different in neonates and infants than in older persons, specific criteria are included. The definitions include criteria for common nosocomial infections as well as infections that occur infrequently but have serious consequences. The definitions were introduced into hospitals participating in the CDC National Nosocomial Infections Surveillance System (NNIS) in 1987 and were modified based on comments from infection control personnel in NNIS hospitals and others involved in surveillance, prevention, and control of nosocomial infections. The definitions were implemented for surveillance of nosocomial infections in NNIS hospitals in January 1988 and are the current CDC definitions for nosocomial infections. Other hospitals may wish to adopt or modify them for use in their nosocomial infections surveillance programs.