ArticlePharmacy (Basel, Switzerland)2020
Implementation of a Urinary Tract Infection Treatment Protocol to Improve Prescribing Practices in the Long-Term Care Facility of a Veteran's Healthcare System.
Article in Pharmacy (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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3 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Urinary tract infections (UTIs) are a commonly diagnosed problem in long-term care facilities (LTCFs), but antimicrobial treatment is often incorrectly prescribed. Although bacterial resistance to antimicrobials commonly used for UTIs, such as trimethoprim/sulfamethoxazole and fluoroquinolones, has been dramatically increasing, they are still commonly prescribed. The purpose of this project was to determine if implementation of a standard treatment protocol for UTIs, which emphasized correct UTI diagnosis and use of nitrofurantoin and cefpodoxime/ceftriaxone as empiric therapy per the institutional antibiogram, changed clinician prescribing practices. This quasi-experimental model utilized two years of pre-intervention and two years of post-intervention data. Three hundred patient encounters were included. Antibiotics prescribed in the pre-intervention period included: trimethoprim/sulfamethoxazole (32%), ciprofloxacin (14%), amoxicillin (13%), levofloxacin (9%), cefpodoxime (9%), ceftriaxone (8%), amoxicillin/clavulanate (5%), nitrofurantoin (4%), and other (6%). By contrast, antibiotics prescribed in the post-intervention period included: cefpodoxime (46%), nitrofurantoin (30%), ceftriaxone (10%), trimethoprim/sulfamethoxazole (8%), amoxicillin/clavulanate (1%), and other (5%). These differences in prescribed drug between the pre-intervention and post-intervention encounters were statistically significant (
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