Miyawaki Atsushi, Ladines-Lim Joseph B, Sato Daichi, Kitajima Kei, Linder Jeffrey A, Fischer Michael A, Chua Kao-Ping, Tsugawa Yusuke
Public Health Research Group, Institute of Medicine, University of Tsukuba, Tsukuba, Japan.
Department of Health Services Research, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
BMJ Public Health. 2025 Aug 18;3(2):e002364. doi: 10.1136/bmjph-2024-002364. eCollection 2025.
To assess the prevalence and associated factors of inappropriate antibiotic prescribing in Japanese primary care.
This cross-sectional study analysed all antibiotic prescriptions written between 1 October 2022 and 30 September 2023, using an electronic health record database of primary care clinics across Japan. Using a previously developed classification algorithm, we determined whether diagnosis codes occurring on or during the 3 days before the antibiotic prescribing date 'always', 'sometimes' or 'never' justified antibiotic use. We classified antibiotic prescriptions into one of four mutually exclusive categories: 'appropriate' (associated with ≥1 'always' code), 'potentially appropriate' (associated with ≥1 'sometimes' code but no 'always' codes), 'inappropriate' (associated only with 'never' codes) and 'not associated with a recent diagnosis'. A linear probability model examined patient, physician and visit characteristics associated with inappropriate antibiotic prescribing among solo practice clinics.
Analyses included 2 058 021 outpatient antibiotic prescriptions to 1 267 708 patients at 2809 clinics. Among these prescriptions, 176 181 (8.6%) were appropriate, 1 238 549 (60.2%) were potentially appropriate, 348 949 (17.0%) were inappropriate and 294 342 (14.3%) were not associated with a recent diagnosis. Among solo practice clinics, inappropriate prescribing was more likely to patients aged <18 versus ≥65 years (+2.6%; 95% CI +0.3% to +4.9%) or with Charlson Comorbidity Index score ≥2 vs 0 (+2.0%; 95% CI +0.6% to +3.4%), for physicians aged ≥65 versus <45 years (+7.3%; 95% CI +3.6% to +11.0%), for physicians in the highest tertile of antibiotic prescribing volume (+4.9%; 95% CI +3.0% to +6.8%), during telehealth visits (+3.9% vs office visits; 95% CI +0.02% to +7.7%) and during regular hours care versus after hours care (+2.1%; 95% CI +0.7% to +3.5%). These findings were qualitatively unchanged when including both solo and group practice clinics.
Targeting younger patients, patients with comorbidities, older physicians, physicians with high antibiotic prescribing, telehealth visits and regular hours care may further increase stewardship effectiveness.
评估日本初级医疗中不恰当抗生素处方的患病率及相关因素。
这项横断面研究分析了2022年10月1日至2023年9月30日期间开具的所有抗生素处方,使用了日本各地初级保健诊所的电子健康记录数据库。我们使用先前开发的分类算法,确定在抗生素处方日期前3天或当天出现的诊断代码是否“总是”“有时”或“从不”证明使用抗生素是合理的。我们将抗生素处方分为四个相互排斥的类别之一:“恰当”(与≥1个“总是”代码相关)、“潜在恰当”(与≥1个“有时”代码相关但无“总是”代码)、“不恰当”(仅与“从不”代码相关)和“与近期诊断无关”。线性概率模型研究了个体诊所中与不恰当抗生素处方相关的患者、医生和就诊特征。
分析包括了2809家诊所对1267708名患者开具的2058021份门诊抗生素处方。在这些处方中,176181份(8.6%)是恰当的,1238549份(60.2%)是潜在恰当的,348949份(17.0%)是不恰当的,294342份(14.3%)与近期诊断无关。在个体诊所中,与≥65岁患者相比,<18岁患者的不恰当处方更有可能出现(增加2.6%;95%置信区间为+0.3%至+4.9%),与Charlson合并症指数评分为0相比,评分≥2的患者也是如此(增加2.0%;95%置信区间为+0.6%至+3.4%);与<45岁的医生相比,≥65岁医生的不恰当处方更有可能出现(增加7.3%;95%置信区间为+3.6%至+11.0%);抗生素处方量处于最高三分位数的医生的不恰当处方更有可能出现(增加4.9%;95%置信区间为+3.0%至+6.8%);远程医疗就诊时的不恰当处方更有可能出现(与门诊就诊相比增加3.9%;95%置信区间为+0.02%至+7.7%);常规时间护理时的不恰当处方比非工作时间护理时更有可能出现(增加2.1%;95%置信区间为+0.7%至+3.5%)。当纳入个体诊所和团体诊所时,这些结果在性质上没有变化。
针对年轻患者、合并症患者、年长医生、抗生素处方量大的医生、远程医疗就诊和常规时间护理可能会进一步提高管理效果。