Piet Emilie, N'Diaye Youssoupha, Marzani Johann, Pires Lucas, Petitprez Hélène, Delory Tristan
Department of Infectious Diseases, Centre Hospitalier Annecy Genevois, 74370 Epagny Metz-Tessy, France.
Clinical Research Department, Centre Hospitalier Annecy Genevois, 74370 Epagny Metz-Tessy, France.
Antibiotics (Basel). 2023 Aug 2;12(8):1272. doi: 10.3390/antibiotics12081272.
In primary care, urinary tract infections (UTIs) account for the majority of antibiotic prescriptions. Comments from microbiologists on interpreting the antimicrobial susceptibility testing (AST) profile for urinalysis were made to improve the prescription of antibiotics. We aimed to explore the added value of these comments on the quality of antibiotic prescribing by a superior double-blind digital randomized case-vignette trial among French general practitioners (GPs). One case vignette with (intervention) or without (control) a 'comment' after AST was randomly assigned to GPs. Among 815 participating GPs, 64.7% were women, at an average age of 37 years. Most (90.1%) used a computerized decision support system for prescribing antibiotics. Empirical antibiotic therapy was appropriate in 71.9% (95% CI, 68.8-75.0) of the cases, without differences between arms. The overall appropriateness of targeted antibiotic therapy (primary outcome) was not significantly increased when providing 'comments': 83.4% vs. 79.9% (OR = 1.26, 95% CI, 0.86-1.85). With the multivariate analysis, the appropriateness was improved by 2-folds (OR = 2.38, 95% CI, 1.02-6.16) among physicians working in healthcare facilities. Among digital-affine young general practitioners, the adjunction of a 'comment' by a microbiologist to interpret urinalysis in community-acquired UTIs did not improve the overall level of appropriateness of the targeted antibiotic.
在初级医疗保健中,尿路感染(UTIs)占抗生素处方的大多数。微生物学家就解读尿液分析的抗菌药物敏感性测试(AST)结果发表了评论,以改进抗生素的处方。我们旨在通过一项针对法国全科医生(GPs)的卓越双盲数字随机病例 vignette 试验,探讨这些评论对抗生素处方质量的附加价值。一个在 AST 后带有(干预组)或不带有(对照组)“评论”的病例 vignette 被随机分配给全科医生。在 815 名参与的全科医生中,64.7%为女性,平均年龄 37 岁。大多数(90.1%)使用计算机化决策支持系统来开具抗生素处方。经验性抗生素治疗在 71.9%(95%可信区间,68.8 - 75.0)的病例中是合适的,两组之间无差异。提供“评论”时,针对性抗生素治疗的总体适宜性(主要结局)并未显著提高:83.4%对 79.9%(比值比 = 1.26,95%可信区间,0.86 - 1.85)。通过多变量分析,在医疗机构工作的医生中,适宜性提高了 2 倍(比值比 = 2.38,95%可信区间,1.02 - 6.16)。在热衷于使用数字技术的年轻全科医生中,微生物学家附加“评论”以解读社区获得性尿路感染的尿液分析,并未提高针对性抗生素的总体适宜水平。