Literature DB >> 22346512

Reduction in surgical wound infection rates associated with reporting data to surgeons.

G Taylor1, M Buchanan-Chell, T Kirkland, M McKenzie, B Sutherland, R Wiens.   

Abstract

Several studies have shown that wound infection (surgical site infection [ ssi ]) rates fall when surgeons are provided with data on their performance. Since 1987, the authors have been performing concurrent surveillance of surgical patients and confidentially reporting surgeon-specific ssi rates to individual surgeons and their clinical directors, and providing surgeons with the mean rates of their peers. The program has been gradually refined and expanded. Data are now collected on wound infection risk and report risk adjusted rates compared with the mean for hospitals in the United States National Nosocomial Infections Surveillance (nnis) data bank. Since inception through to December 1993, ssi rates have fallen 68% in clean contaminated general surgery cases (relative risk [rr] 0.36, 95% ci 0.2 to 0.6, P=0.0001), 64% in clean plastic surgery cases (rr 0.35, 95% ci 0.06 to 1.8), 72% in caesarean section cases (rr 0.23, 95% ci 0.03 to 1.96) and 42% in clean cardiovascular surgery cases (rr 0.59, 95% ci 0.34 to 1.0). In clean orthopedic surgery the ssi rate remained stable from 1987 through 1992. In 1993 a marked increase was experienced. Reasons for this are being explored. Overall there was a 32% decrease in ssi rate between the index year and 1993 or, in percentage terms, 2.8% to 1.9% (rr 0.65, 95% ci 0.51 to 0.86, P=0.002). ssi surveillance should become standard in Canadian hospitals interested in improving the quality of surgical care and reducing the clinical impact and cost associated with nosocomial infection.

Entities:  

Keywords:  Data reporting; Surgical site infection; Surgical wound infection rates

Year:  1994        PMID: 22346512      PMCID: PMC3250865          DOI: 10.1155/1994/536567

Source DB:  PubMed          Journal:  Can J Infect Dis        ISSN: 1180-2332


  19 in total

1.  CDC definitions of nosocomial surgical site infections, 1992: a modification of CDC definitions of surgical wound infections.

Authors:  T C Horan; R P Gaynes; W J Martone; W R Jarvis; T G Emori
Journal:  Am J Infect Control       Date:  1992-10       Impact factor: 2.918

2.  Surveillance of the surgical wound.

Authors:  R L Nichols
Journal:  Infect Control Hosp Epidemiol       Date:  1990-10       Impact factor: 3.254

3.  Nosocomial infection rates for interhospital comparison: limitations and possible solutions. A Report from the National Nosocomial Infections Surveillance (NNIS) System.

Authors: 
Journal:  Infect Control Hosp Epidemiol       Date:  1991-10       Impact factor: 3.254

4.  Continuous, 10-year wound infection surveillance. Results, advantages, and unanswered questions.

Authors:  M M Olson; J T Lee
Journal:  Arch Surg       Date:  1990-06

5.  Effectiveness of a surgical wound surveillance program.

Authors:  R E Condon; W J Schulte; M A Malangoni; M J Anderson-Teschendorf
Journal:  Arch Surg       Date:  1983-03

6.  The efficacy of infection surveillance and control programs in preventing nosocomial infections in US hospitals.

Authors:  R W Haley; D H Culver; J W White; W M Morgan; T G Emori; V P Munn; T M Hooton
Journal:  Am J Epidemiol       Date:  1985-02       Impact factor: 4.897

7.  CDC definitions for nosocomial infections, 1988.

Authors:  J S Garner; W R Jarvis; T G Emori; T C Horan; J M Hughes
Journal:  Am J Infect Control       Date:  1988-06       Impact factor: 2.918

8.  Extra charges and prolongation of stay attributable to nosocomial infections: a prospective interhospital comparison.

Authors:  R W Haley; D R Schaberg; K B Crossley; S D Von Allmen; J E McGowan
Journal:  Am J Med       Date:  1981-01       Impact factor: 4.965

9.  Prophylactic and preventive antibiotic therapy: timing, duration and economics.

Authors:  H H Stone; B B Haney; L D Kolb; C E Geheber; C A Hooper
Journal:  Ann Surg       Date:  1979-06       Impact factor: 12.969

10.  Estimating the effects of nosocomial infections on the length of hospitalization.

Authors:  M S Green; E Rubinstein; P Amit
Journal:  J Infect Dis       Date:  1982-05       Impact factor: 5.226

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  1 in total

1.  Blood utilization after primary total joint arthroplasty in a large hospital network.

Authors:  Antonia F Chen; Brian A Klatt; Mark H Yazer; Jonathan H Waters
Journal:  HSS J       Date:  2013-06-21
  1 in total

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