Bornemann Reinhard, Heidenreich Andreas, Hoyer Annika, Mohsenpour Amir, Tillmann Roland
AG 2 Bevölkerungsmedizin und Versorgungsforschung, Fakultät für Gesundheitswissenschaften, Universität Bielefeld, Universitätsstraße 25, 33615, Bielefeld, Deutschland.
Institut für Sozialmedizin und Epidemiologie, Universität zu Lübeck, Lübeck, Deutschland.
Bundesgesundheitsblatt Gesundheitsforschung Gesundheitsschutz. 2024 Sep;67(9):1010-1020. doi: 10.1007/s00103-024-03891-9. Epub 2024 Jun 5.
There are significant regional differences in antibiotic prescribing behaviour. The reasons for this are still largely unknown. Beneath demographic and morbidity-related factors, doctor-specific or "cultural" factors may also play a role. A differentiated analysis including diagnostic data is needed to put these data into context.
A data analysis with secondary data available via the Westphalia-Lippe Association of Statutory Health Insurance Physicians (KVWL) was conducted on infection diagnoses and antibiotic prescriptions of outpatient paediatricians in the KV district of Bielefeld from 2015 to 2018. In addition, algorithmized 1:1 connections between diagnoses and prescriptions were performed.
For 262,969 "medication patients" (AMP), 28,248 antibiotic prescriptions and 90,044 infection diagnoses were evaluated, from which 11,131 1:1 connections could be generated. Concerning the prescribing behaviour of individual paediatric GP offices, after adjusting for the denominator AMP and despite a comparable age and gender structure, there were some significant differences. This affected both the frequency of prescriptions and the qualitative composition of the substance groups prescribed.
The differences in antibiotic prescribing behaviour, even at GP office level, cannot be adequately explained by the demographic composition or different morbidities of the respective clientele. Individual attitudes and local prescribing cultures are likely to play a relevant role. To address these offers an important approach for antibiotic stewardship (ABS). In addition to the area of outpatient paediatrics presented here, the methodology described can also be used as a model for more detailed analysis in other outpatient speciality groups.
抗生素处方行为存在显著的地区差异。其原因在很大程度上仍不为人知。除了人口统计学和发病率相关因素外,医生特定或“文化”因素可能也起作用。需要进行包括诊断数据在内的差异化分析,以便将这些数据置于具体情境中。
利用通过威斯特法伦 - 利珀法定医疗保险医生协会(KVWL)获取的二手数据,对2015年至2018年比勒费尔德KV地区门诊儿科医生的感染诊断和抗生素处方进行了数据分析。此外,还对诊断和处方进行了算法化的一对一关联。
对262,969名“用药患者”(AMP)、28,248份抗生素处方和90,044例感染诊断进行了评估,从中生成了11,131个一对一关联。关于个别儿科全科医生诊所的处方行为,在对分母AMP进行调整后,尽管年龄和性别结构具有可比性,但仍存在一些显著差异。这既影响了处方频率,也影响了所开药物组的质量构成。
抗生素处方行为的差异,即使在全科医生诊所层面,也无法通过各自患者群体的人口统计学构成或不同发病率得到充分解释。个人态度和当地处方文化可能起着相关作用。解决这些问题为抗生素管理(ABS)提供了一个重要方法。除了本文介绍的门诊儿科领域外,所描述的方法也可作为其他门诊专科群体更详细分析的模型。