Literature DB >> 1850582

National nosocomial infections surveillance system (NNIS): description of surveillance methods.

T G Emori1, D H Culver, T C Horan, W R Jarvis, J W White, D R Olson, S Banerjee, J R Edwards, W J Martone, R P Gaynes.   

Abstract

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.

Entities:  

Mesh:

Year:  1991        PMID: 1850582     DOI: 10.1016/0196-6553(91)90157-8

Source DB:  PubMed          Journal:  Am J Infect Control        ISSN: 0196-6553            Impact factor:   2.918


  105 in total

1.  Role of global surveillance in combating bacterial resistance.

Authors:  A Marchese; G C Schito
Journal:  Drugs       Date:  2001       Impact factor: 9.546

2.  Surveillance of hospital acquired infections: presentation of a computerised system.

Authors:  D Cauët; J L Quenon; G Desvé
Journal:  Eur J Epidemiol       Date:  1999-02       Impact factor: 8.082

3.  Impact of Antibiotic Resistance on the Treatment of Gram-negative Sepsis.

Authors: 
Journal:  Curr Infect Dis Rep       Date:  2000-10       Impact factor: 3.725

Review 4.  Hunting health care-associated infections from the clinical microbiology laboratory: passive, active, and virtual surveillance.

Authors:  Lance R Peterson; Stephen E Brossette
Journal:  J Clin Microbiol       Date:  2002-01       Impact factor: 5.948

5.  Does using a laparoscopic approach to cholecystectomy decrease the risk of surgical site infection?

Authors:  Chesley Richards; Jonathan Edwards; David Culver; T Grace Emori; James Tolson; Robert Gaynes
Journal:  Ann Surg       Date:  2003-03       Impact factor: 12.969

6.  Randomized study of the benefits of preoperative corticosteroid administration on the postoperative morbidity and cytokine response in patients undergoing surgery for esophageal cancer.

Authors:  Nobuhiro Sato; Keisuke Koeda; Kenichiro Ikeda; Yusuke Kimura; Kiichi Aoki; Takeshi Iwaya; Yuji Akiyama; Kaoru Ishida; Kazuyoshi Saito; Shigeatsu Endo
Journal:  Ann Surg       Date:  2002-08       Impact factor: 12.969

7.  [AMBU-KISS: quality control in outpatient surgery].

Authors:  D Mlangeni; R Babikir; P Gastmeier; F Daschner
Journal:  Chirurg       Date:  2004-03       Impact factor: 0.955

8.  Computer-assisted surveillance for detecting clonal outbreaks of nosocomial infection.

Authors:  Donna M Hacek; Ralph L Cordell; Gary A Noskin; Lance R Peterson
Journal:  J Clin Microbiol       Date:  2004-03       Impact factor: 5.948

9.  Impact of a multidimensional infection control strategy on central line-associated bloodstream infection rates in pediatric intensive care units of five developing countries: findings of the International Nosocomial Infection Control Consortium (INICC).

Authors:  V D Rosenthal; B Ramachandran; W Villamil-Gómez; A Armas-Ruiz; J A Navoa-Ng; L Matta-Cortés; M Pawar; A Nevzat-Yalcin; M Rodríguez-Ferrer; R D Yıldızdaş; A Menco; R Campuzano; V D Villanueva; L F Rendon-Campo; A Gupta; O Turhan; N Barahona-Guzmán; O O Horoz; P Arrieta; J M Brito; M C V Tolentino; Y Astudillo; N Saini; N Gunay; G Sarmiento-Villa; E Gumus; A Lagares-Guzmán; O Dursun
Journal:  Infection       Date:  2012-02-28       Impact factor: 3.553

10.  Measures to prevent surgical site infections: what surgeons (should) do.

Authors:  Michele Diana; Martin Hübner; Marie-Christine Eisenring; Giorgio Zanetti; Nicolas Troillet; Nicolas Demartines
Journal:  World J Surg       Date:  2011-02       Impact factor: 3.352

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.