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[4-year experiences with computer-assisted registration of postoperative wound infections and identification of risk factors].

https://arctichealth.org/en/permalink/ahliterature226352
Source
Ugeskr Laeger. 1991 May 13;153(20):1416-9
Publication Type
Article
Date
May-13-1991
Author
A. Bremmelgaard
A M Sørensen
E. Brems-Dalgaard
D. Raahave
J V Pedersen
Author Affiliation
Frederiksberg Hospital, klinisk mikrobiologisk afdeling.
Source
Ugeskr Laeger. 1991 May 13;153(20):1416-9
Date
May-13-1991
Language
Danish
Publication Type
Article
Keywords
Automatic Data Processing
Denmark - epidemiology
Female
Humans
Male
Registries - statistics & numerical data
Regression Analysis
Risk factors
Surgical Wound Infection - epidemiology - etiology
Abstract
A continuous record of postoperative surgical infections was carried out by electronic data processing of 9,181 orthopaedic and general operations. The overall infection rate was 5.7%, ranging from 2.0% (clean wounds) to 22.1% (dirty wounds). The corresponding deep infection rates were 1.7%, 0.4% and 5.4%, respectively. Employing a multiple logistic regression analysis, ten risk factors were evaluated. Factors found to be significant for both departments were: wound contamination, duration of operation and age. In addition, in the department of orthopaedic surgery: date of operation and surgeon, and in the department of general surgery: planning of operation, length of preoperative stay and anatomic groups. Sex had no influence on postoperative infection. Significant factors altered during the four years. Postoperative stay was, on an average, 13.9 days longer in infected patients.
PubMed ID
2028549 View in PubMed
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[Automatic data processing registration of postoperative wound infections. A prevalence study].

https://arctichealth.org/en/permalink/ahliterature233324
Source
Ugeskr Laeger. 1988 Mar 14;150(11):649-55
Publication Type
Article
Date
Mar-14-1988

Computer-aided surveillance of surgical infections and identification of risk factors.

https://arctichealth.org/en/permalink/ahliterature231793
Source
J Hosp Infect. 1989 Jan;13(1):1-18
Publication Type
Article
Date
Jan-1989
Author
A. Bremmelgaard
D. Raahave
R. Beier-Holgersen
J V Pedersen
S. Andersen
A I Sørensen
Author Affiliation
Department of Clinical Microbiology, Frederiksberg Hospital, Denmark.
Source
J Hosp Infect. 1989 Jan;13(1):1-18
Date
Jan-1989
Language
English
Publication Type
Article
Keywords
Automatic Data Processing
Denmark
Hospital Departments
Humans
Models, Statistical
Orthopedics
Risk factors
Surgery Department, Hospital
Surgical Wound Infection - epidemiology - etiology - prevention & control
Abstract
A continuous record of postoperative surgical infections was carried out by electronic data processing (EDP) of 4340 orthopaedic and general operations. The overall infection rate was 6.3%, ranging from 2.3% (clean wounds) to 27.1% (dirty wounds). The corresponding deep infection rates were 1.6%, 0.4% and 4.6%. Employing a multiple logistic regression analysis, 10 risk factors were evaluated. Factors found to be significant were: wound contamination, department, duration of operation, date of operation and age, and in addition for the department of general surgery: surgeon, planning of operation, length of preoperative stay and anatomic groups. A statistical model for identification of risk patients is described. Postoperative stay was on average 20.5 days longer in infected patients. We find that EDP-recording may result in an annual cost reduction of at least 175,000 pounds for our hospital.
PubMed ID
2564012 View in PubMed
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