Arias Pauline, Matta Matta, Strazzulla Alessio, Le Mener Christine, Gallien Sébastien, Diamantis Sylvain
Infectious Diseases Department, Groupe Hospitalier Sud Ile-de-France, Melun, France.
Infectious Diseases Department, Centre hospitalier intercommunal de Villeneuve Saint Georges, Villeneuve Saint Georges, France.
Open Forum Infect Dis. 2024 Mar 21;11(4):ofae172. doi: 10.1093/ofid/ofae172. eCollection 2024 Apr.
Antibiotic selection pressure in human medicine is a significant driver of antibiotic resistance in humans. The primary aspect of antibiotic consumption is associated with general practitioner (GP) prescriptions. We aimed to identify prescriber profiles for targeted antimicrobial stewardship programs using novel indicators.
A cross-sectional study was conducted in 2018 investigating GPs' antibiotic prescriptions in a French department, utilizing the reimbursement database of the national health service. Three antibiotic prescribing indicators were used. Specific targets were established for each indicator to identify the antibiotic prescribers most likely contributing to the emergence of resistance.
Over 2018, we had 2,908,977 visits to 784 GPs, leading to 431,549 antibiotic prescriptions. Variations between GPs were shown by the 3 indicators. The median antibiotic prescription rate per visit was 13.6% (interquartile range [IQR], 9.8%-17.7%). Median ratios of the prescriptions of low-impact antibiotics to the prescriptions of high-impact antibiotics and of amoxicillin prescriptions to amoxicillin-clavulanic acid prescriptions were 2.5 (IQR, 1.7-3.7) and 2.94 (IQR, 1.7-5), respectively. We found 163 (21%) high prescribers of antibiotics with 3 distinct patterns: The first group overuses broad-spectrum antibiotics but without an overprescription rate per visit, the second group displays an overprescription rate but no excessive use of broad-spectrum antibiotics, and the third group shows both an overprescription rate and excessive use of broad-spectrum antibiotics.
Prescription-based indicators enable the identification of distinct profiles of antibiotic prescribers. This identification may allow for targeted implementation of stewardship programs focused on the specific prescribing patterns of each profile.
人类医学中的抗生素选择压力是导致人类抗生素耐药性的一个重要因素。抗生素使用的主要方面与全科医生(GP)的处方有关。我们旨在使用新的指标来确定针对性抗菌药物管理计划的处方者特征。
2018年进行了一项横断面研究,利用国家卫生服务的报销数据库调查了法国一个部门全科医生的抗生素处方情况。使用了三种抗生素处方指标。为每个指标设定了具体目标,以确定最有可能导致耐药性出现的抗生素处方者。
在2018年期间,我们对784名全科医生进行了2,908,977次就诊,开出了431,549份抗生素处方。这三种指标显示了全科医生之间的差异。每次就诊的抗生素处方率中位数为13.6%(四分位间距[IQR],9.8%-17.7%)。低影响抗生素处方与高影响抗生素处方的中位数比例以及阿莫西林处方与阿莫西林-克拉维酸处方的中位数比例分别为2.5(IQR,1.7-3.7)和2.94(IQR,1.7-5)。我们发现163名(21%)抗生素高处方者有三种不同模式:第一组过度使用广谱抗生素,但每次就诊的处方率不过高;第二组显示出过高的处方率,但不过度使用广谱抗生素;第三组既显示出过高的处方率,又过度使用广谱抗生素。
基于处方的指标能够识别抗生素处方者的不同特征。这种识别可能有助于针对性地实施管理计划,重点关注每种特征的特定处方模式。