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Published on: June 24, 2025
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.
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.
Objectives:
Guidelines for managing catheter-associated urinary tract infection (CAUTI) and asymptomatic bacteria (ASB) are poorly translated into routine care due in part to cognitive diagnostic errors. This study determines if the accuracy for CAUTI and ASB diagnosis and treatment improves after implementation of a fast and frugal algorithm compared with traditional education methods.
Materials And Methods:
A pre and post-intervention with contemporaneous comparison site involving inpatient and long term care wards at two regional Veterans Affairs Systems in United States. Participants included 216 internal medicine residents and 16 primary care clinicians. Intervention clinicians received training with a fast and frugal algorithm. Comparison site clinicians received guidelines education. Diagnosis and treatment accuracy compared with a criterion standard was assessed during similar three-month, pre- and post-intervention periods. Sensitivity, specificity, and likelihood ratios were compared for both periods at each site.
Results:
Bacteriuria management was evaluated against criterion standard in 196 cases pre-implementation and 117 cases post-implementation. Accuracy of bacteriuria management among intervention participants was significantly higher, post-implementation, than those at the comparison site (Intervention: positive likelihood ratio (LR+) = 8.5, specificity = 0.89, 95% confidence interval (CI) = 0.78-1.00; comparison: LR+ = 4.62, specificity (95%CI) = 0.79 (0.63-0.95). Further, improvements at the intervention site were statistically significant (pre-implementation: LR+ = 2.1, specificity (95%CI) = 0.60 (0.50-0.71); post-implementation: LR+ = 8.5, specificity (95%CI) = 0.89 (0.78-1.00). At both sites, there were similar improvements in negative LR from pre- to post-implementation: [Intervention site = 0.28 to 0.08; comparison site = 0.13 to 0.04]. Inappropriate management of ASB declined markedly from 32 (40%) to 3 (11%) cases at the intervention site.
Conclusions:
A fast and frugal algorithm improves diagnosis and treatment accuracy for CAUTI and reduces inappropriate treatment of ASB. Fast and frugal algorithms that realign diagnostic intuitions and treatment norms can enhance translation of evidence into practice.
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