Ahlam Alghamdi, Afrah Alkazemi, Alnada Ibrahim, Mohammed Alraey, Mohammed Alaboud, Isra Farooqi, Mohammad Aatif Khan, Asem Allam, Mohammed Alwadai, Renad Alyahya, Ohoud Alzahrani, Hajar Y AlQahtani, Amir Mohareb, Muneerah Aleissa
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引用次数: 0
Abstract
Background: Inappropriate testing of urine cultures can lead to overuse of antibiotics, antimicrobial resistance, Clostridioides difficile infections, and increased cost. In Saudi Arabia, antimicrobial stewardship programs have improved antibiotic use but lack focus on asymptomatic bacteriuria. Targeted interventions are needed to address this gap.
Objective: We assessed the implementation of a clinical decision support (CDS) tool in diagnostic stewardship, focusing on the appropriateness of urine culture orders and antibiotic use.
Methods: We examined differences in urine culture testing and antibiotic use before and after implementation of a CDS tool in a 400-bed hospital in Riyadh, Saudi Arabia, from August 2021 to July 2022. We included adult patients with urine culture orders. Our outcomes were the percentage of urine cultures ordered that were inappropriate and antibiotic use after the implementation of the CDS intervention. We used a multivariable logistic regression model to determine factors associated with inappropriate urine culture testing and antibiotic use.
Results: The percentage of inappropriate urine culture orders were significantly lower in the postintervention period compared to the preintervention period (821/2254, 36.4% vs 754/1814, 41.6%; P=.001). The CDS intervention was associated with 16.7% lower odds of inappropriate urine culture ordering (adjusted odds ratio [aOR] 0.83, 95% CI 0.73-0.95; P=.008). Unnecessary antibiotics were significantly lower in the postintervention period (310/2254, 72.9% vs 288/1814, 85.7%; P<.001). The CDS intervention was associated with a 52% reduction in unnecessary antibiotic use (aOR 0.487, 95% CL 0.332-0.713; P<.001).
Conclusions: A CDS initiative can reduce unnecessary urine culture testing and antibiotic overuse.
背景:尿液培养检测不当可导致抗生素过度使用、耐药性、艰难梭菌感染和费用增加。在沙特阿拉伯,抗菌药物管理项目改善了抗生素的使用,但缺乏对无症状细菌的关注。需要有针对性的干预措施来解决这一差距。目的:我们评估临床决策支持(CDS)工具在诊断管理中的实施情况,重点关注尿培养命令和抗生素使用的适当性。方法:从2021年8月至2022年7月,我们在沙特阿拉伯利雅得一家拥有400个床位的医院检查了实施CDS工具前后尿液培养检测和抗生素使用的差异。我们纳入了有尿培养指令的成年患者。我们的结果是实施CDS干预后不适当的尿培养和抗生素使用的百分比。我们使用多变量逻辑回归模型来确定与不适当的尿培养检测和抗生素使用相关的因素。结果:干预后尿培养顺序不当比例显著低于干预前(821/2254,36.4% vs 754/1814, 41.6%;P =措施)。CDS干预与尿培养顺序不当的几率降低16.7%相关(调整优势比[aOR] 0.83, 95% CI 0.73-0.95;P = .008)。干预后非必要抗生素明显减少(310/2254,72.9% vs 288/1814, 85.7%;结论:CDS倡议可以减少不必要的尿培养检测和抗生素的过度使用。
期刊介绍:
JMIR Medical Informatics (JMI, ISSN 2291-9694) is a top-rated, tier A journal which focuses on clinical informatics, big data in health and health care, decision support for health professionals, electronic health records, ehealth infrastructures and implementation. It has a focus on applied, translational research, with a broad readership including clinicians, CIOs, engineers, industry and health informatics professionals.
Published by JMIR Publications, publisher of the Journal of Medical Internet Research (JMIR), the leading eHealth/mHealth journal (Impact Factor 2016: 5.175), JMIR Med Inform has a slightly different scope (emphasizing more on applications for clinicians and health professionals rather than consumers/citizens, which is the focus of JMIR), publishes even faster, and also allows papers which are more technical or more formative than what would be published in the Journal of Medical Internet Research.