A fast and frugal algorithm to strengthen diagnosis and treatment decisions for catheter-associated bacteriuria

Aanand D Naik1,2, Felicia Skelton1,2, Amber B Amspoker1,2

  • 1Houston Center of Innovations in Quality, Effectiveness, and Safety, Michael E DeBakey Veterans Affairs Medical Center, Houston, Texas, United States of America.

Plos One
|March 29, 2017
PubMed

Insights

A fast and frugal algorithm significantly improved diagnosis and treatment accuracy for catheter-associated urinary tract infections (CAUTI) and reduced inappropriate treatment of asymptomatic bacteriuria (ASB). This approach enhances evidence-based practice translation.

Area of Science:

  • Infectious Diseases
  • Clinical Decision Support
  • Healthcare Quality Improvement

Background:

  • Guidelines for managing catheter-associated urinary tract infection (CAUTI) and asymptomatic bacteriuria (ASB) are often not implemented effectively in routine care.
  • Cognitive diagnostic errors contribute to the gap between guidelines and clinical practice.

Purpose of the Study:

  • To determine if a fast and frugal algorithm improves the accuracy of CAUTI and ASB diagnosis and treatment compared to traditional education.
  • To assess the impact of a novel decision support tool on clinical practice.

Main Methods:

  • A pre- and post-intervention study with a contemporaneous comparison site was conducted at two Veterans Affairs Systems.
  • Internal medicine residents and primary care clinicians received either a fast and frugal algorithm training or traditional guidelines education.
  • Diagnosis and treatment accuracy were compared against a criterion standard using sensitivity, specificity, and likelihood ratios.

Main Results:

  • The fast and frugal algorithm group showed significantly higher accuracy in bacteriuria management post-implementation (LR+ = 8.5, specificity = 0.89) compared to the control group (LR+ = 4.62, specificity = 0.79).
  • Statistically significant improvements in accuracy were observed at the intervention site from pre- to post-implementation (LR+ from 2.1 to 8.5).
  • Inappropriate management of asymptomatic bacteriuria decreased from 40% to 11% at the intervention site.

Conclusions:

  • A fast and frugal algorithm effectively enhances the accuracy of CAUTI diagnosis and treatment.
  • This approach significantly reduces the inappropriate management of asymptomatic bacteriuria.
  • Fast and frugal algorithms can improve the translation of evidence-based guidelines into clinical practice by realigning diagnostic and treatment norms.
Abstract

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