Literature DB >> 16874638

Highly sensitive and efficient computer-assisted system for routine surveillance for surgical site infection.

Annie Chalfine1, Daniel Cauet, Wei Chi Lin, Jacqueline Gonot, Nadine Calvo-Verjat, François-Emile Dazza, Olivier Billuart, Marie Dominique Kitzis, Jean Pierre Blériot, Marie Laure Pibarot, Jean Carlet.   

Abstract

OBJECTIVES: Surveillance of surgical site infections (SSIs) is effective in reducing the rates of these complications, but it is extremely time-consuming and, consequently, underused. We determined the sensitivity and specificity of a computer-assisted surveillance system, compared with a conventional method involving review of medical records, and the time saved with the computer-assisted system.
METHOD: A prospective study was conducted from January 1 to December 31, 2001. With the computer-assisted method, screening for SSIs relied on identification in the laboratory database of positive results of microbiological tests of surgical-site specimens; confirmation was obtained via computer-generated questionnaires completed by the surgeon in charge of the patient. In the conventional method, SSIs were identified by exhaustive chart review. The time spent on surveillance was recorded for both methods.
SETTING: A 25-bed gastrointestinal surgery unit in a tertiary care hospital. PATIENTS: A total of 766 consecutive patients who underwent gastrointestinal surgery.
RESULTS: The sensitivity of the computer-assisted method was 84.3% (95% confidence interval, 0.66-0.94); the specificity was 99.9%. For the 807 surgical procedures in the study, 197 had an SSI identified by culture of a surgical-site specimen. After elimination of 63 duplicate cultures with positive results, 134 questionnaires were sent to the surgeons, who confirmed 27 SSIs. The conventional method identified 32 SSIs. The computer-assisted method required 60% less time than the conventional method (90 hours vs 223 hours).
CONCLUSION: Surveillance for SSIs using computer-assisted, laboratory-based screening and case confirmation by surgeons is as efficient as and far less time-consuming than the conventional method of chart review. This method permits routine surveillance for SSIs with reliable accuracy.

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Year:  2006        PMID: 16874638     DOI: 10.1086/506393

Source DB:  PubMed          Journal:  Infect Control Hosp Epidemiol        ISSN: 0899-823X            Impact factor:   3.254


  8 in total

Review 1.  Economics of infection control surveillance technology: cost-effective or just cost?

Authors:  Jon P Furuno; Marin L Schweizer; Jessina C McGregor; Eli N Perencevich
Journal:  Am J Infect Control       Date:  2008-04       Impact factor: 2.918

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

3.  Strategies to prevent surgical site infections in acute care hospitals: 2014 update.

Authors:  Deverick J Anderson; Kelly Podgorny; Sandra I Berríos-Torres; Dale W Bratzler; E Patchen Dellinger; Linda Greene; Ann-Christine Nyquist; Lisa Saiman; Deborah S Yokoe; Lisa L Maragakis; Keith S Kaye
Journal:  Infect Control Hosp Epidemiol       Date:  2014-06       Impact factor: 3.254

4.  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

5.  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

6.  A Web-Based, Hospital-Wide Health Care-Associated Bloodstream Infection Surveillance and Classification System: Development and Evaluation.

Authors:  Yi-Ju Tseng; Jung-Hsuan Wu; Hui-Chi Lin; Ming-Yuan Chen; Xiao-Ou Ping; Chun-Chuan Sun; Rung-Ji Shang; Wang-Huei Sheng; Yee-Chun Chen; Feipei Lai; Shan-Chwen Chang
Journal:  JMIR Med Inform       Date:  2015-09-21

7.  How well do discharge diagnoses identify hospitalised patients with community-acquired infections?--a validation study.

Authors:  Daniel Pilsgaard Henriksen; Stig Lønberg Nielsen; Christian Borbjerg Laursen; Jesper Hallas; Court Pedersen; Annmarie Touborg Lassen
Journal:  PLoS One       Date:  2014-03-24       Impact factor: 3.240

8.  Electronically assisted surveillance systems of healthcare-associated infections: a systematic review.

Authors:  H Roel A Streefkerk; Roel Paj Verkooijen; Wichor M Bramer; Henri A Verbrugh
Journal:  Euro Surveill       Date:  2020-01
  8 in total

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