Quantifying and interpreting inequality of surgical site infections among operating rooms

Franklin Dexter1, Richard H Epstein2, Randy W Loftus3

  • 1Division of Management Consulting, Department of Anesthesia, University of Iowa, 200 Hawkins Drive, 6-JCP, Iowa City, IA, 52242, USA. Franklin-Dexter@UIowa.edu.

Abstract

Insights

Surgical site infection rates vary significantly across operating rooms (ORs). This inequality, measured by the Gini index, is substantial and linked to case duration and OR specialty, impacting cost-effectiveness of interventions.

Area of Science:

  • Healthcare Management
  • Infection Control
  • Health Services Research

Background:

  • Surgical site infections (SSIs) represent a significant healthcare burden, with incidence varying across different operating room (OR) environments.
  • Understanding the distribution of SSIs is crucial for developing targeted and cost-effective infection control strategies.
  • Previous research has highlighted variations in SSIs, but quantification of inequality among ORs is less explored.

Purpose of the Study:

  • To quantify the inequality of surgical site infection counts among individual operating rooms.
  • To assess the impact of case duration and OR specialty on infection inequality.

Main Methods:

  • A single-center historical cohort study analyzed elective surgical cases over 160 weeks (May 2017-May 2020).
  • Surgical site infections were identified using International Classification of Diseases, Tenth Revision, Clinical Modification codes within 90 days post-surgery.
  • The Gini index was employed to measure the inequality of infection counts among ORs and OR-specialty combinations.

Main Results:

  • Out of 85,744 cases, 3,148 (3.67%) resulted in SSIs.
  • The Gini index for infection inequality among ORs was 0.40, comparable to US income inequality.
  • Infections correlated positively with OR case minutes (Spearman ρ = 0.68) and were higher in moderately long cases (3.3-4.8 hours).
  • Inequality was substantially greater for OR-specialty combinations (Gini index 0.85).

Conclusions:

  • Significant inequality in surgical site infection counts exists among operating rooms.
  • This inequality is driven by variations in infection incidence and total case minutes.
  • Inequality is particularly pronounced in OR-specialty combinations, primarily due to unequal case minutes.

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