van der Velden Alike W, van Triest Mieke I, Schoffelen Annelot F, Verheij Theo J M
Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Universiteitsweg 100, 3584CG Utrecht, The Netherlands.
National Institute for Public Health and the Environment, Antonie van Leeuwenhoeklaan 9, 3721MA Bilthoven, The Netherlands.
Antibiotics (Basel). 2020 Oct 3;9(10):670. doi: 10.3390/antibiotics9100670.
Insight into antibiotic prescribing quality is key to general practitioners (GPs) to improve their prescribing behavior and to national antibiotic surveillance and stewardship programs. Additionally to numbers of prescribed antibiotics, quality indicators (QIs) linked to the clinical indication for prescribing are urgently needed. The aim of this proof of concept study was to define indication-linked QIs which can be easily implemented in Dutch primary care by collaborating with data-extraction/processing companies that routinely process patient data for GP practices. An expert group of academic and practicing GPs defined indication-linked QIs for which outcomes can be derived from routine care data. QI outcomes were calculated and fed back to GPs from 44 practices, associations between QI outcomes were determined, and GPs' opinions and suggestions with respect to the new set were captured using an online questionnaire. The new set comprises: (1) total number of prescribed antibiotics per 1000 registered patients and percentages of generally non-1st choice antibiotics; (2) prescribing percentages for episodes of upper and lower respiratory tract infection; (3) 1st choice prescribing for episodes of tonsillitis, pneumonia and cystitis in women. Large inter-practice variation in QI outcomes was found. The validity of the QI outcomes was confirmed by associations that were expected. The new set was highly appreciated by GPs and additional QIs were suggested. We conclude that it proved feasible to provide GPs with informative, indication-linked feedback of their antibiotic prescribing quality by collaborating with established data extraction/processing companies. Based on GPs' suggestions the set will be refined and extended and used in the near future as yearly feedback with benchmarking for GPs and for national surveillance and stewardship purposes.
深入了解抗生素处方质量是全科医生(GP)改善其处方行为以及国家抗生素监测和管理计划的关键。除了已开具的抗生素数量外,与处方临床指征相关的质量指标(QI)也迫切需要。本概念验证研究的目的是通过与常规为全科医生诊所处理患者数据的数据提取/处理公司合作,定义可在荷兰初级医疗保健中轻松实施的与指征相关的QI。一个由学术和执业全科医生组成的专家小组定义了可从常规护理数据中得出结果的与指征相关的QI。计算了QI结果并反馈给44家诊所的全科医生,确定了QI结果之间的关联,并使用在线问卷收集了全科医生对新指标集的意见和建议。新指标集包括:(1)每1000名注册患者开具的抗生素总数以及一般非首选抗生素的百分比;(2)上呼吸道和下呼吸道感染发作的处方百分比;(3)女性扁桃体炎、肺炎和膀胱炎发作的首选处方。发现不同诊所之间QI结果存在很大差异。预期的关联证实了QI结果的有效性。新指标集受到全科医生的高度赞赏,并有人提出了其他QI。我们得出结论,通过与成熟的数据提取/处理公司合作,向全科医生提供与其抗生素处方质量相关的信息丰富的反馈证明是可行的。根据全科医生的建议,该指标集将得到完善和扩展,并在不久的将来用作每年向全科医生提供的带有基准的反馈,用于国家监测和管理目的。