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Validating Use of Electronic Health Data to Identify Patients with Urinary Tract Infections in Outpatient Settings.

ABSTRACT: OBJECTIVE:To validate the use of electronic algorithms based on International Classification of Diseases (ICD)-10 codes to identify outpatient visits for urinary tract infections (UTI), one of the most common reasons for antibiotic prescriptions. METHODS:ICD-10 symptom codes (e.g., dysuria) alone or in addition to UTI diagnosis codes plus prescription of a UTI-relevant antibiotic were used to identify outpatient UTI visits. Chart review (gold standard) was performed by two reviewers to confirm diagnosis of UTI. The positive predictive value (PPV) that the visit was for UTI (based on chart review) was calculated for three different ICD-10 code algorithms using (1) symptoms only, (2) diagnosis only, or (3) both. RESULTS:Of the 1087 visits analyzed, symptom codes only had the lowest PPV for UTI (PPV = 55.4%; 95%CI: 49.3-61.5%). Diagnosis codes alone resulted in a PPV of 85% (PPV = 84.9%; 95%CI: 81.1-88.2%). The highest PPV was obtained by using both symptom and diagnosis codes together to identify visits with UTI (PPV = 96.3%; 95%CI: 94.5-97.9%). CONCLUSIONS:ICD-10 diagnosis codes with or without symptom codes reliably identify UTI visits; symptom codes alone are not reliable. ICD-10 based algorithms are a valid method to study UTIs in primary care settings.

SUBMITTER: Germanos G

PROVIDER: S-EPMC7558992 | biostudies-literature | 2020 Aug

REPOSITORIES: biostudies-literature

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Validating Use of Electronic Health Data to Identify Patients with Urinary Tract Infections in Outpatient Settings.

Germanos George G Light Patrick P Zoorob Roger R Salemi Jason J Khan Fareed F Hansen Michael M Gupta Kalpana K Trautner Barbara B Grigoryan Larissa L

Antibiotics (Basel, Switzerland) 20200825 9

<h4>Objective</h4>To validate the use of electronic algorithms based on International Classification of Diseases (ICD)-10 codes to identify outpatient visits for urinary tract infections (UTI), one of the most common reasons for antibiotic prescriptions.<h4>Methods</h4>ICD-10 symptom codes (e.g., dysuria) alone or in addition to UTI diagnosis codes plus prescription of a UTI-relevant antibiotic were used to identify outpatient UTI visits. Chart review (gold standard) was performed by two reviewe ...[more]

PMID: 32854205

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Project description:BackgroundOveruse of fluoroquinolone antibiotics is associated with outbreaks of methicillin-resistant Staphylococcus aureus and of Clostridium difficile-associated diarrhea and increasing resistance in gram-negative organisms. Over the past decade, resistance of Escherichia coli to ciprofloxacin has increased in the Regina Qu'Appelle Health Region. In August 2011, an exploratory audit of the Regina General Hospital (RGH) emergency department showed that 20% of new antibiotic orders were for fluoroquinolones, and 60% of these new fluoroquinolone orders were for ciprofloxacin. It was postulated that ciprofloxacin was predominantly prescribed for outpatients with urinary tract infection.ObjectiveTo develop, implement, and evaluate a best-practice algorithm for the empiric treatment of uncomplicated urinary tract infection in the RGH emergency department, as part of an educational initiative for emergency physicians.MethodsA literature review was conducted and local antibiogram data were analyzed to establish a best-practice algorithm for treatment of uncomplicated urinary tract infection in outpatients seen in the emergency department. A chart review was conducted from January to March 2011 to establish a baseline of empiric antibiotic use. An educational strategy targeting emergency physicians described changes in antibiotic resistance patterns in the health region, principles of antimicrobial stewardship, drivers of resistance, and the results of a literature review of best practice for urinary tract infection in outpatients. A post-intervention audit was conducted from January to March 2012 to determine changes in practice.ResultsComparison of results from the post-intervention audit with baseline data showed that adherence to best practice increased significantly, from 41% (39/96) before the intervention to 66% (50/76) after the intervention (odds ratio [OR] 2.81, 95% confidence interval [CI] 1.51-5.25; p < 0.001). There was also a significant change in overall antibiotic selection (OR 0.25, 95% CI 0.11-0.58; p < 0.001). Further analysis suggested that this significant change was driven by a decrease in use of ciprofloxacin, from 32% (31/96) to 11% (8/76).ConclusionCreation of a best-practice algorithm and education focused on emergency physicians significantly increased adherence to best practice and optimized antibiotic prescribing for outpatients with uncomplicated urinary tract infection by limiting overuse of fluoroquinolones, primarily ciprofloxacin.

Dataset Information

Validating Use of Electronic Health Data to Identify Patients with Urinary Tract Infections in Outpatient Settings.

Publications

Validating Use of Electronic Health Data to Identify Patients with Urinary Tract Infections in Outpatient Settings.

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