Validation of a multicenter computer-based surveillance system for hospital-acquired bloodstream infections in neonatal intensive care departments
Automated systems can facilitate surveillance for health care–associated infections. The New York Antimicrobial Resistance Project (NYARP) electronically monitors trends in bloodstream infections from 6 medical centers in New York, NY. To validate NYARP's data, episodes of health care–associate...
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| Veröffentlicht in: | American journal of infection control 2004-06, Vol.32 (4), p.232-234 |
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| container_title | American journal of infection control |
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| creator | Graham, Philip L San Gabriel, Pablo Lutwick, Suzanne Haas, Janet Saiman, Lisa |
| description | Automated systems can facilitate surveillance for health care–associated infections. The New York Antimicrobial Resistance Project (NYARP) electronically monitors trends in bloodstream infections from 6 medical centers in New York, NY. To validate NYARP's data, episodes of health care–associated bloodstream infections detected by this system were compared with those obtained by an infection control practitioner performing an unrelated study in 2 participating neonatal intensive care departments. The sensitivity (84%), specificity (99%), and positive (84%) and negative (99%) predictive values of NYARP were excellent when coagulase-negative staphylococcal bloodstream infections were removed. |
| doi_str_mv | 10.1016/j.ajic.2003.07.008 |
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The New York Antimicrobial Resistance Project (NYARP) electronically monitors trends in bloodstream infections from 6 medical centers in New York, NY. To validate NYARP's data, episodes of health care–associated bloodstream infections detected by this system were compared with those obtained by an infection control practitioner performing an unrelated study in 2 participating neonatal intensive care departments. The sensitivity (84%), specificity (99%), and positive (84%) and negative (99%) predictive values of NYARP were excellent when coagulase-negative staphylococcal bloodstream infections were removed.</description><subject>Bacteremia - epidemiology</subject><subject>Bacteremia - microbiology</subject><subject>Bacterial diseases</subject><subject>Bacterial sepsis</subject><subject>Biological and medical sciences</subject><subject>Blood-Borne Pathogens - isolation & purification</subject><subject>Centers for Disease Control and Prevention (U.S.)</subject><subject>Computer Systems</subject><subject>Cross Infection - epidemiology</subject><subject>Cross Infection - microbiology</subject><subject>Data Collection</subject><subject>Diagnosis, Computer-Assisted</subject><subject>Female</subject><subject>Fundamental and applied biological sciences. Psychology</subject><subject>Gram-Negative Bacterial Infections - diagnosis</subject><subject>Gram-Negative Bacterial Infections - epidemiology</subject><subject>Gram-Positive Bacterial Infections - diagnosis</subject><subject>Gram-Positive Bacterial Infections - epidemiology</subject><subject>Human bacterial diseases</subject><subject>Humans</subject><subject>Incidence</subject><subject>Infectious diseases</subject><subject>Intensive Care Units, Neonatal</subject><subject>Male</subject><subject>Medical sciences</subject><subject>Microbiology</subject><subject>Risk Assessment</subject><subject>Sensitivity and Specificity</subject><subject>Sentinel Surveillance</subject><subject>Survival Analysis</subject><subject>United States</subject><issn>0196-6553</issn><issn>1527-3296</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2004</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp9kTGP1DAQhS0E4paDP0CB3ECXYDuxY0s06AQc0kk0QGt57YnwKon3PM5K9zf4xTjsSlBd5Vd888bzHiGvOWs54-r9oXWH6FvBWNeyoWVMPyE7LsXQdMKop2THuFGNkrK7Ii8QD4wx0yn5nFxxyQepBNuR3z_dFIMrMS00jdTReZ1K9LAUyNSn-bhW0ewdQqC45hPEaXKLB4oPWGCmY8r0V8JjLG5qnL9fY67kfkopYMngZhqXEfzmj1XSBdLiKlt1gQXjCah3GWiAo8tlrnvxJXk2ugnh1eW9Jj8-f_p-c9vcffvy9ebjXeM7LUozqr0SQXS68yNXstd96H2ndADQkknPw6AFM7rvlQElPAxOmNFJkKMAwXR3Td6dfY853a-Axc4RPWz3QVrRDtwYbdhQQXEGfU6IGUZ7zHF2-cFyZrcm7MFuTditCcsGy_66v7m4r_sZwr-RS_QVeHsBHHo3jbnGGvE_TmsjTF-5D2cOahanCNmij1ArCDVqX2xI8bF__AGgaasA</recordid><startdate>20040601</startdate><enddate>20040601</enddate><creator>Graham, Philip L</creator><creator>San Gabriel, Pablo</creator><creator>Lutwick, Suzanne</creator><creator>Haas, Janet</creator><creator>Saiman, Lisa</creator><general>Mosby, Inc</general><general>Mosby</general><scope>IQODW</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope></search><sort><creationdate>20040601</creationdate><title>Validation of a multicenter computer-based surveillance system for hospital-acquired bloodstream infections in neonatal intensive care departments</title><author>Graham, Philip L ; San Gabriel, Pablo ; Lutwick, Suzanne ; Haas, Janet ; Saiman, Lisa</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c382t-f6b62d2383cf165484d4c368dee8505c1d7820984469e62ce7a29fa5e5f2e2083</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2004</creationdate><topic>Bacteremia - epidemiology</topic><topic>Bacteremia - microbiology</topic><topic>Bacterial diseases</topic><topic>Bacterial sepsis</topic><topic>Biological and medical sciences</topic><topic>Blood-Borne Pathogens - isolation & purification</topic><topic>Centers for Disease Control and Prevention (U.S.)</topic><topic>Computer Systems</topic><topic>Cross Infection - epidemiology</topic><topic>Cross Infection - microbiology</topic><topic>Data Collection</topic><topic>Diagnosis, Computer-Assisted</topic><topic>Female</topic><topic>Fundamental and applied biological sciences. Psychology</topic><topic>Gram-Negative Bacterial Infections - diagnosis</topic><topic>Gram-Negative Bacterial Infections - epidemiology</topic><topic>Gram-Positive Bacterial Infections - diagnosis</topic><topic>Gram-Positive Bacterial Infections - epidemiology</topic><topic>Human bacterial diseases</topic><topic>Humans</topic><topic>Incidence</topic><topic>Infectious diseases</topic><topic>Intensive Care Units, Neonatal</topic><topic>Male</topic><topic>Medical sciences</topic><topic>Microbiology</topic><topic>Risk Assessment</topic><topic>Sensitivity and Specificity</topic><topic>Sentinel Surveillance</topic><topic>Survival Analysis</topic><topic>United States</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Graham, Philip L</creatorcontrib><creatorcontrib>San Gabriel, Pablo</creatorcontrib><creatorcontrib>Lutwick, Suzanne</creatorcontrib><creatorcontrib>Haas, Janet</creatorcontrib><creatorcontrib>Saiman, Lisa</creatorcontrib><collection>Pascal-Francis</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>American journal of infection control</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Graham, Philip L</au><au>San Gabriel, Pablo</au><au>Lutwick, Suzanne</au><au>Haas, Janet</au><au>Saiman, Lisa</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Validation of a multicenter computer-based surveillance system for hospital-acquired bloodstream infections in neonatal intensive care departments</atitle><jtitle>American journal of infection control</jtitle><addtitle>Am J Infect Control</addtitle><date>2004-06-01</date><risdate>2004</risdate><volume>32</volume><issue>4</issue><spage>232</spage><epage>234</epage><pages>232-234</pages><issn>0196-6553</issn><eissn>1527-3296</eissn><abstract>Automated systems can facilitate surveillance for health care–associated infections. The New York Antimicrobial Resistance Project (NYARP) electronically monitors trends in bloodstream infections from 6 medical centers in New York, NY. To validate NYARP's data, episodes of health care–associated bloodstream infections detected by this system were compared with those obtained by an infection control practitioner performing an unrelated study in 2 participating neonatal intensive care departments. The sensitivity (84%), specificity (99%), and positive (84%) and negative (99%) predictive values of NYARP were excellent when coagulase-negative staphylococcal bloodstream infections were removed.</abstract><cop>St. Louis, MO</cop><pub>Mosby, Inc</pub><pmid>15175620</pmid><doi>10.1016/j.ajic.2003.07.008</doi><tpages>3</tpages></addata></record> |
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| source | MEDLINE; Elsevier ScienceDirect Journals Complete |
| subjects | Bacteremia - epidemiology Bacteremia - microbiology Bacterial diseases Bacterial sepsis Biological and medical sciences Blood-Borne Pathogens - isolation & purification Centers for Disease Control and Prevention (U.S.) Computer Systems Cross Infection - epidemiology Cross Infection - microbiology Data Collection Diagnosis, Computer-Assisted Female Fundamental and applied biological sciences. Psychology Gram-Negative Bacterial Infections - diagnosis Gram-Negative Bacterial Infections - epidemiology Gram-Positive Bacterial Infections - diagnosis Gram-Positive Bacterial Infections - epidemiology Human bacterial diseases Humans Incidence Infectious diseases Intensive Care Units, Neonatal Male Medical sciences Microbiology Risk Assessment Sensitivity and Specificity Sentinel Surveillance Survival Analysis United States |
| title | Validation of a multicenter computer-based surveillance system for hospital-acquired bloodstream infections in neonatal intensive care departments |
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