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      Agreement among Healthcare Professionals in Ten European Countries in Diagnosing Case-Vignettes of Surgical-Site Infections

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          Abstract

          Objective

          Although surgical-site infection (SSI) rates are advocated as a major evaluation criterion, the reproducibility of SSI diagnosis is unknown. We assessed agreement in diagnosing SSI among specialists involved in SSI surveillance in Europe.

          Methods

          Twelve case-vignettes based on suspected SSI were submitted to 100 infection-control physicians (ICPs) and 86 surgeons in 10 European countries. Each participant scored eight randomly-assigned case-vignettes on a secure online relational database. The intra-class correlation coefficient (ICC) was used to assess agreement for SSI diagnosis on a 7-point Likert scale and the kappa coefficient to assess agreement for SSI depth on a three-point scale.

          Results

          Intra-specialty agreement for SSI diagnosis ranged across countries and specialties from 0.00 (95%CI, 0.00–0.35) to 0.65 (0.45–0.82). Inter-specialty agreement varied from 0.04 (0.00–0.62) in to 0.55 (0.37–0.74) in Germany. For all countries pooled, intra-specialty agreement was poor for surgeons (0.24, 0.14–0.42) and good for ICPs (0.41, 0.28–0.61). Reading SSI definitions improved agreement among ICPs (0.57) but not surgeons (0.09). Intra-specialty agreement for SSI depth ranged across countries and specialties from 0.05 (0.00–0.10) to 0.50 (0.45–0.55) and was not improved by reading SSI definition.

          Conclusion

          Among ICPs and surgeons evaluating case-vignettes of suspected SSI, considerable disagreement occurred regarding the diagnosis, with variations across specialties and countries.

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          Most cited references19

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          Sample size requirements for estimating intraclass correlations with desired precision.

          A method is developed to calculate the approximate number of subjects required to obtain an exact confidence interval of desired width for certain types of intraclass correlations in one-way and two-way ANOVA models. The sample size approximation is shown to be very accurate. Copyright 2002 John Wiley & Sons, Ltd.
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            The efficacy of infection surveillance and control programs in preventing nosocomial infections in US hospitals.

            In a representative sample of US general hospitals, the authors found that the establishment of intensive infection surveillance and control programs was strongly associated with reductions in rates of nosocomial urinary tract infection, surgical wound infection, pneumonia, and bacteremia between 1970 and 1975-1976, after controlling for other characteristics of the hospitals and their patients. Essential components of effective programs included conducting organized surveillance and control activities and having a trained, effectual infection control physician, an infection control nurse per 250 beds, and a system for reporting infection rates to practicing surgeons. Programs with these components reduced their hospitals' infection rates by 32%. Since relatively few hospitals had very effective programs, however, only 6% of the nation's approximately 2 million nosocomial infections were being prevented in the mid-1970s, leaving another 26% to be prevented by universal adoption of these programs. Among hospitals without effective programs, the overall infection rate increased by 18% from 1970 to 1976.
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              The Second National Prevalence Survey of infection in hospitals--overview of the results.

              This study was designed to assess the overall prevalence of infection among the patients in hospitals in the UK and the Republic of Ireland. Patient data were collected and entered directly into a portable Olivetti (A12 notebook) computer with a custom-designed program (Epi-Info version 5.01). The statistical analysis was performed using the Statistical Package for Social Sciences software (SPSS). In all, 37,111 patients from 157 centers were studied, and a mean hospital acquired infection (HAI) prevalence rate of 9.0% (range 2-29%) was calculated. HAI rates were higher in teaching hospitals (11.2%) than in non-teaching hospitals (8.4%) P < 0.001. Four major sites of infections--infections of the urinary tract (23.2%), surgical-wound infections (10.7%), lower-respiratory tract (22.9%) and skin infections (9.6%)--accounted for 66.5% (2559 of 3848) of the total infections identified.
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                Author and article information

                Contributors
                Role: Editor
                Journal
                PLoS One
                PLoS ONE
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, USA )
                1932-6203
                2013
                9 July 2013
                : 8
                : 7
                : e68618
                Affiliations
                [1 ]Infection control unit, Bichat-Claude Bernard Hospital, Paris, France
                [2 ]Bacteriology and Hygiene Department, Nantes University Hospital, Nantes, France
                [3 ]Centre d’Épidémiologie Clinique, Hôpital Hôtel Dieu, Paris, France
                [4 ]Medical microbiology and infection control, Southend University Hospital NHS Foundation Trust, Essex, United Kingdom
                [5 ]Institute of Hygiene and Environmental Medicine, Charité, University Medicine Berlin, Berlin, Germany
                [6 ]Department of Infectious Diseases and Clinical Microbiology, Ege University Medical Faculty, Bornova, Izmir, Turkey
                [7 ]Institute of Epidemiology School of Medicine, Belgrade, Serbia
                [8 ]Amphia Hospital Breda, Laboratory for Microbiology and Infection Control, Breda, the Netherlands
                [9 ]Department of Infectious Disease, Epidemiology, National Public Health Institute, Helsinki, Finland
                [10 ]Department of Healthcare-Associated Infection and Antimicrobial Resistance, HPA Centre for Infections, Colindale, London, United Kingdom
                [11 ]Department of Epidemiology, Office of the Chief Medical Officer, Gyali, Hungary
                [12 ]Department of Infectious Diseases, Università Cattolica del Sacro Cuore, Rome, Italy
                [13 ]Division of Infectious Diseases, Central Institute of the Valais Hospitals, Sion, Switzerland
                Universidad Nacional de La Plata., Argentina
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                Conceived and designed the experiments: G. Birgand DL G. Baron PR JCL. Performed the experiments: SP ACB CB LMD PG JK OL E. Sheridan E. Szilagyi ET NT. Analyzed the data: G. Birgand G. Baron. Wrote the paper: G. Birgand DL G. Baron PR JCL SB ACB CB LMD PG JK OL E. Szilagyi E. Sheridan ET NT.

                Article
                PONE-D-13-05070
                10.1371/journal.pone.0068618
                3706413
                23874690
                e3584cb1-9acf-4322-8d23-41efa9699472
                Copyright @ 2013

                This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 3 February 2013
                : 30 May 2013
                Page count
                Pages: 9
                Funding
                This study was supported by the French Ministry of Health (national grant PREQHOS 0901). This grant was used to finance a part of the salary of the first author. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Research Article
                Medicine
                Diagnostic Medicine
                Pathology
                Anatomical Pathology
                Surgical Pathology
                Infectious Diseases
                Bacterial Diseases
                Infectious Disease Control
                Non-Clinical Medicine
                Health Care Policy
                Health Risk Analysis
                Health Statistics
                Health Systems Strengthening
                Health Care Quality
                Health Informatics
                Surgery

                Uncategorized
                Uncategorized

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