Hostname: page-component-f554764f5-c4bhq Total loading time: 0 Render date: 2025-04-10T17:38:36.654Z Has data issue: false hasContentIssue false
  • English
  • Français

Changes in the accuracy of administrative data for the detection of surgical site infections

Published online by Cambridge University Press:  17 December 2020

Brian T. Bucher Open the ORCID record for Brian T. Bucher [Opens in a new window] ,
Meng Yang ,
Julie Arndorfer ,
Cherie Frame ,
Jan Orton ,
Matthew H. Samore  and
Kristin K. Dascomb
Brian T. Bucher*
Affiliation:
Department of Surgery, University of Utah Schools of Medicine, Salt Lake City, Utah
Meng Yang
Affiliation:
Department of Surgery, University of Utah Schools of Medicine, Salt Lake City, Utah
Julie Arndorfer
Affiliation:
Division of Infectious Diseases, Office of Patient Experience, Intermountain Healthcare, Salt Lake City, Utah
Cherie Frame
Affiliation:
Division of Infectious Diseases, Office of Patient Experience, Intermountain Healthcare, Salt Lake City, Utah
Jan Orton
Affiliation:
Clinical Data Management, Intermountain Healthcare, Salt Lake City, Utah
Matthew H. Samore
Affiliation:
Department of Medicine, University of Utah Schools of Medicine, Salt Lake City, Utah VA Salt Lake City Healthcare System, IDEAS Center 2.0, Salt Lake City, Utah
Kristin K. Dascomb
Affiliation:
Division of Infectious Diseases, Office of Patient Experience, Intermountain Healthcare, Salt Lake City, Utah
*
Author for correspondence: Brian T. Bucher, E-mail: brian.bucher@utah.edu
Get access Rights & Permissions [Opens in a new window]

Abstract

We performed a retrospective analysis of the changes in accuracy of International Classification of Diseases, Clinical Modification (ICD-CM) diagnosis codes for colectomy and hysterectomy surgical site infection surveillance. After the transition from ICD-CM ninth edition to tenth edition codes, there was no significant change in the accuracy of these codes for SSI surveillance.

Type
Concise Communication
Information
Infection Control & Hospital Epidemiology , Volume 42 , Issue 9 , September 2021 , pp. 1128 - 1130
Check for updates
Copyright
© The Author(s), 2020. Published by Cambridge University Press on behalf of The Society for Healthcare Epidemiology of America

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

Article purchase

Temporarily unavailable

References

Weber, WP, Zwahlen, M, Reck, S, et al. Economic burden of surgical site infections at a European university hospital. Infect Control Hosp Epidemiol 2008;29:623–629.CrossRefGoogle Scholar
Kanerva, M, Ollgren, J, Virtanen, MJ, Lyytikäinen, O. Estimating the annual burden of healthcare-associated infections in Finnish adult acute-care hospitals. Am J Infect Control 2009;37:227–230.CrossRefGoogle ScholarPubMed
West, N, Eng, T. Monitoring and reporting hospital-acquired conditions: a federalist approach. Medicare Medicaid Res Rev 2014;4:E1–E16.CrossRefGoogle ScholarPubMed
van Mourik, MSM, van Duijn, PJ, Moons, KGM, Bonten, MJM, Lee, GM. Accuracy of administrative data for surveillance of healthcare-associated infections: a systematic review. BMJ Open 2015;5:e008424.CrossRefGoogle ScholarPubMed
Khera, R, Dorsey, KB, Krumholz, HM. Transition to the ICD-10 in the United States: an emerging data chasm. JAMA 2018;320:133–134.CrossRefGoogle Scholar
Mainor, AJ, Morden, NE, Smith, J, Tomlin, S, Skinner, J. ICD-10 coding will challenge researchers: caution and collaboration may reduce measurement error and improve comparability over time. Med Care 2019;57:e42–e46.CrossRefGoogle ScholarPubMed
Berrios-Torres, SI, Umscheid, CA, Bratzler, DW, et al. Centers for Disease Control and Prevention guideline for the prevention of surgical site infection, 2017. JAMA Surg 2017;152:784–791.CrossRefGoogle Scholar
Julian, KG, Brumbach, AM, Chicora, MK, et al. First year of mandatory reporting of healthcare-associated infections, Pennsylvania: an infection control-chart abstractor collaboration. Infect Control Hosp Epidemiol 2006;27:926–930.CrossRefGoogle ScholarPubMed
Stevenson, KB, Khan, Y, Dickman, J, et al. Administrative coding data, compared with CDC/NHSN criteria, are poor indicators of healthcare-associated infections. Am J Infect Control 2008;36:155–164.CrossRefGoogle Scholar
Supplementary material: File

Bucher et al. supplementary material

Table S1

Download Bucher et al. supplementary material(File)
File 12.5 KB