Literature DB >> 8099097

An evaluation of surveillance methods for detecting infections in hospital inpatients.

H M Glenister1, L J Taylor, C L Bartlett, E M Cooke, J A Sedgwick, C A Mackintosh.   

Abstract

Eight selective surveillance methods were compared with a reference method for their ability to detect hospital infections in patients was also assessed. In the reference method, case records were reviewed three times a week, and during the 11-month period of study, 668 infections were identified amongst 3326 patients. Three hundred and thirty-eight were community acquired infections (CAI) and 330 were hospital acquired infections (HAI). The time for data collection was 18.1 h per 100 beds per week. Of the selective surveillance methods, those based on the review of treatment and temperature charts detected the highest proportion (70%) of CAI; and the review of microbiology reports with regular ward liaison identified the highest proportion (71%) of HAI. The time for data collection in the eight methods ranged from 1.2 h per 100 beds per week to 6.5 h per 100 beds per week. After considering the sensitivity for identifying patients with HAI and time for data collection, the review of microbiology reports with regular ward liaison was judged to be an effective and efficient method of surveillance.

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Year:  1993        PMID: 8099097     DOI: 10.1016/0195-6701(93)90028-x

Source DB:  PubMed          Journal:  J Hosp Infect        ISSN: 0195-6701            Impact factor:   3.926


  10 in total

1.  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

Review 2.  Data use and effectiveness in electronic surveillance of healthcare associated infections in the 21st century: a systematic review.

Authors:  Jeroen S de Bruin; Walter Seeling; Christian Schuh
Journal:  J Am Med Inform Assoc       Date:  2014-01-13       Impact factor: 4.497

Review 3.  Epidemiology, therapy and costs of nosocomial infection.

Authors:  R Gálvez-Vargas; A Bueno-Cavanillas; M García-Martín
Journal:  Pharmacoeconomics       Date:  1995-02       Impact factor: 4.981

4.  Effectiveness of an automated surveillance system for intensive care unit-acquired infections.

Authors:  Jeroen S de Bruin; Klaus-Peter Adlassnig; Alexander Blacky; Harald Mandl; Karsten Fehre; Walter Koller
Journal:  J Am Med Inform Assoc       Date:  2012-08-07       Impact factor: 4.497

5.  Utilization of electronic medical records to build a detection model for surveillance of healthcare-associated urinary tract infections.

Authors:  Yu-Sheng Lo; Wen-Sen Lee; Chien-Tsai Liu
Journal:  J Med Syst       Date:  2013-01-17       Impact factor: 4.460

6.  Comparison of three methods for estimating rates of adverse events and rates of preventable adverse events in acute care hospitals.

Authors:  Philippe Michel; Jean Luc Quenon; Anne Marie de Sarasqueta; Olivier Scemama
Journal:  BMJ       Date:  2004-01-24

7.  Agreement among health care professionals in diagnosing case Vignette-based surgical site infections.

Authors:  Didier Lepelletier; Philippe Ravaud; Gabriel Baron; Jean-Christophe Lucet
Journal:  PLoS One       Date:  2012-04-17       Impact factor: 3.240

8.  Prediction of risk of acquiring urinary tract infection during hospital stay based on machine-learning: A retrospective cohort study.

Authors:  Jens Kjølseth Møller; Martin Sørensen; Christian Hardahl
Journal:  PLoS One       Date:  2021-03-31       Impact factor: 3.240

9.  Annual surveys for point-prevalence of healthcare-associated infection in a tertiary hospital in Beijing, China, 2012-2014.

Authors:  Yaowen Zhang; Jing Zhang; Dong Wei; Zhirong Yang; Yanyan Wang; Zhiyuan Yao
Journal:  BMC Infect Dis       Date:  2016-04-18       Impact factor: 3.090

10.  Opportunities and challenges in utilizing electronic health records for infection surveillance, prevention, and control.

Authors:  Ashish Atreja; Steven M Gordon; Daniel A Pollock; Russell N Olmsted; Patrick J Brennan
Journal:  Am J Infect Control       Date:  2008-04       Impact factor: 2.918

  10 in total

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