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How infection present at time of surgery (PATOS) data impacts your surgical site infection (SSI) standardized infection ratios (SIR), with focus on the complex 30-day SSI SIR model - 22/10/21

Doi : 10.1016/j.ajic.2021.05.002 
Rebecca Konnor, MPH a, , Victoria Russo, MPH, CIC a, Denise Leaptrot, MSA, SM/BSMT(ASCP), CIC a, Katherine Allen-Bridson, RN, BSN, MScPH, CIC b, Margaret A. Dudeck, MPH, CPH b, Joan N Hebden, RN, MS, CIC c, Marc-Oliver Wright, MT(ASCP), MS, CIC d
a CACI, Subcontractor to Leidos | Contractor for the National Healthcare Safety Network (NHSN), NCEZID, Division of Healthcare Quality Promotion (DHQP), Centers for Disease Control and Prevention, Atlanta, GA 
b Surveillance Branch, NCEZID, Division of Healthcare Quality Promotion (DHQP), Centers for Disease Control and Prevention, Atlanta, GA 
c Independent Infection Prevention Consultant, Baltimore, MD 
d Clinical Science Liaison, Central Region, IL 

Address correspondence to Rebecca Konnor, MPH, 1600 Clifton Road, Atlanta, GA 303331600 Clifton RoadAtlantaGA30333

Abstract

This case study is part of a series centered on the Centers for Disease Control and Prevention's National Healthcare Safety Network's (NHSN) health care-associated infection (HAI) surveillance definitions. This is the first analytic case study published in AJIC since the CDC/ NHSN updated its HAI risk adjustment models and rebaselined the standardized infection ratios (SIRs) in 2015. This case describes a scenario that Infection Preventionists (IPs) have encountered during their analysis of surgical site infection (SSI) surveillance data. The case study is intended to illustrate how specific models can impact the SIR results by highlighting differences in the criteria for NHSN's older and newer risk models: the original versions and the updated models introduced in 2015. Understanding these differences provides insight into how SSI SIR calculations differ between the older and newer NHSN baseline models. NHSN plans to produce another set of HAI risk adjustment models in the future, using newer HAI incidence and risk factor data. While the timetable for these changes remains to be determined, the statistical methods used to produce future models and SIR calculations will continue the precedents that NHSN has established.

An online survey link is provided where participants may confidentially answer questions related to the case study and receive immediate feedback in the form of correct answers, explanations, rationales, and summary of teaching points.

Details of the case study, answers, and explanations have been reviewed and approved by NHSN staff. We hope that participants take advantage of this educational offering and thereby gain a greater understanding of the NHSN's HAI data analysis.

There are 2 baselines available for SSI standardized infection ration (SIRs) in the National Healthcare Safety Network (NHSN); one based on the 2006-2008 national aggregate data and another based on the 2015 data. Each of the 2 baselines has a different set of inclusion criteria for the SSI data, which impact the calculation of the SIR. In this case study, we focused on the impact of the inclusion of PATOS in the calculation of the 2006-2008 baseline SSI SIR and the exclusion of PATOS from the calculation of the 2015 baseline SSI SIR. In the 2006-2008 baseline SSI SIRs, PATOS events and the procedures to which they are linked are included in the calculation of the SSI SIR whereas in the 2015 baseline SSI SIRs, PATOS events and the procedures to which they are linked are excluded from the calculation of the SSI SIR. Meaning, if we control for all other inclusion criteria other than PATOS data for both baselines, we will notice differences in the number of observed events as well as the number of predicted infections for the 2 baselines. For details of the 2015 baseline and risk adjustment calculation, please review the NHSN Guide to the SIR referenced below. For details of the 2006-2008 baseline4 and risk adjustment, please see the SHEA paper “Improving Risk-Adjusted Measures of Surgical Site Infection for the National Healthcare Safety Network” by author Yi Mu.

Le texte complet de cet article est disponible en PDF.

Key Words : Baseline Set 1(BS-1), Baseline Set 2 (BS-2)


Plan


 Conflicts of interest: Marc-Oliver Wright: PDI, Inc; although a commercial entity serves as my employment, the aforementioned company has no relation to the content of this manuscript, did not financially support or influence in any way, is unrelated to the content and arguably unaware of its existence. All other authors: None to report.


© 2021  Association for Professionals in Infection Control and Epidemiology, Inc. Tous droits réservés.
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Vol 49 - N° 11

P. 1423-1426 - novembre 2021 Retour au numéro
Article précédent Article précédent
  • Build upon basics: An intervention utilizing safety huddles to achieve near-zero incidence of catheter associated urinary tract infection at a department of Veterans Affairs long-term care facility
  • Jeanette M. Fiveash, Morgan L. Smith, Ashley K. Moore, Roman Jandarov, Madhuri M. Sopirala
| Article suivant Article suivant
  • Roadmap for onboarding a new infection preventionist: One health care system's approach
  • Miki Gould, Sharon Dietzler, Brenda Ehlert, Katharine Hale, Jean Hall, Cheryl Harvey, Deanne Richards

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