» Articles » PMID: 17998492

Validation of a Decision Aid to Assist Physicians in Reducing Unnecessary Antibiotic Drug Use for Acute Cystitis

Overview
Journal Arch Intern Med
Specialty General Medicine
Date 2007 Nov 14
PMID 17998492
Citations 26
Authors
Affiliations
Soon will be listed here.
Abstract

Background: In a previous study, use of a decision aid based on 4 clinical items would have reduced unnecessary antibiotic prescriptions for acute cystitis by 30% compared with usual physician care.

Methods: We assessed the decision aid in a different population of females seen in community-based practice. Between April 7, 2002, and March 20, 2003, 225 Canadian family physicians recorded clinical findings, urine dip test results, and treatment decisions for 331 females with suspected cystitis. The number of decision aid items present was determined for each patient, and the sensitivity and specificity of decision aid recommendations for empirical antibiotics were determined using the gold standard of a positive urine culture result (> or =10(2) colony-forming units per milliliter). Total antibiotic prescriptions, unnecessary prescriptions (for negative culture results), and recommendations for urine cultures were determined and compared with physician management.

Results: Three of the original decision aid variables (dysuria, the presence of leukocytes [greater than a trace amount], and the presence of nitrites [any positive]) were associated with having a positive urine culture result (P < or = .001), but 1 variable (symptoms for 1 day) was not (P = .96). A simplified decision aid incorporating the 3 significant variables (empirical antibiotics without culture if > or =2 variables present; otherwise obtain a culture and wait for results) had a sensitivity of 80.3% (167/208) and a specificity of 53.7% (66/123). Following decision aid recommendations would have reduced antibiotic prescriptions by 23.5%, unnecessary prescriptions by 40.2%, and urine cultures by 59.0% compared with physician care (P < .001 for all).

Conclusion: A simple 3-item decision aid could significantly reduce unnecessary antibiotic drug prescriptions and urine culture testing in females with symptoms of acute cystitis.

Citing Articles

Knowledge, attitudes and practices around urinary tract infections of general practitioners in the Netherlands: a cross-sectional internet survey.

Cox S, Giorgi W, Platteel T, Cals J, de Bont E BMJ Open. 2024; 14(10):e083263.

PMID: 39461852 PMC: 11529613. DOI: 10.1136/bmjopen-2023-083263.


Comparing visual and automated urine dipstick analysis in a general practice population.

Cox S, Hoitinga P, Oudhuis G, Hopstaken R, Savelkoul P, Cals J Scand J Prim Health Care. 2024; 43(1):59-65.

PMID: 39164976 PMC: 11834816. DOI: 10.1080/02813432.2024.2392776.


Digital remote monitoring for screening and early detection of urinary tract infections.

Capstick A, Palermo F, Zakka K, Fletcher-Lloyd N, Walsh C, Cui T NPJ Digit Med. 2024; 7(1):11.

PMID: 38218738 PMC: 10787784. DOI: 10.1038/s41746-023-00995-5.


GPs' Perspective on a Multimodal Intervention to Enhance Guideline-Adherence in Uncomplicated Urinary Tract Infections: A Qualitative Process Evaluation of the Multicentric RedAres Cluster-Randomised Controlled Trial.

Schuster A, Tigges P, Grune J, Kraft J, Greser A, Gagyor I Antibiotics (Basel). 2023; 12(12).

PMID: 38136690 PMC: 10740691. DOI: 10.3390/antibiotics12121657.


Adaptation and External Validation of Pathogenic Urine Culture Prediction in Primary Care Using Machine Learning.

Dhanda G, Asham M, Shanks D, OMalley N, Hake J, Satyan M Ann Fam Med. 2023; 21(1):11-18.

PMID: 36690486 PMC: 9870630. DOI: 10.1370/afm.2902.