Literature DB >> 11461126

A comparison of two methods for identifying surgical site infections following orthopaedic surgery.

H L Cadwallader1, M Toohey, S Linton, A Dyson, T V Riley.   

Abstract

Many infection control practitioners (ICPs) dedicate a significant amount of time and resources to surveillance of surgical site infections (SSIs). Alternative surveillance methods need to be explored to reflect the changes to the healthcare system and the increasing economic constraints placed on infection control units. This study was undertaken to compare two methods of identifying SSIs in orthopaedic surgery. Surveillance data collected routinely by ICPs was compared with data obtained from the International Classification of Disease, 9th Revision, Clinical Modification (ICD-9-CM) coding in the medical record. Concordant results between the two methods were obtained. The use of ICD-9-CM coding, as stored in hospital patient administration system databases, has the ability to enhance routine surgical site surveillance programmes. These systems can be used as the basis for screening large data sets for SSIs and identifying where SSIs resulted in patient re-admission. A reduction in the duplication of data and time spent by the ICP on the collection of information for surveillance purposes can be achieved. Copyright 2001 The Hospital Infection Society.

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Year:  2001        PMID: 11461126     DOI: 10.1053/jhin.2001.1012

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


  4 in total

1.  Use of diagnosis codes and/or wound culture results for surveillance of surgical site infection after mastectomy and breast reconstruction.

Authors:  Margaret A Olsen; Victoria J Fraser
Journal:  Infect Control Hosp Epidemiol       Date:  2010-05       Impact factor: 3.254

2.  Validity and Reliability of Administrative Coded Data for the Identification of Hospital-Acquired Infections: An Updated Systematic Review with Meta-Analysis and Meta-Regression Analysis.

Authors:  Olga Redondo-González; José María Tenías; Ángel Arias; Alfredo J Lucendo
Journal:  Health Serv Res       Date:  2017-04-11       Impact factor: 3.402

Review 3.  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 4.  Accuracy of administrative data for surveillance of healthcare-associated infections: a systematic review.

Authors:  Maaike S M van Mourik; Pleun Joppe van Duijn; Karel G M Moons; Marc J M Bonten; Grace M Lee
Journal:  BMJ Open       Date:  2015-08-27       Impact factor: 2.692

  4 in total

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