医生网络对心衰新成分组合处方的影响:一项基于纵向索赔数据的研究。

Christine Arnold, Jan Koetsenruijter, Johanna Forstner, Frank Peters-Klimm, Michel Wensing
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引用次数: 3

摘要

背景:自2016年以来,联合血管紧张素受体和neprilysin抑制剂(ARNI)的苏比里尔/缬沙坦已被推荐用于心力衰竭的治疗指南。医生之间的合作和交流可能会影响新药的采用。我们的目的是确定德国处方医师的专业网络特征是否与ARNI处方相关。方法:基于德国2016-2018年的理赔数据进行纵向分析。通过对2017年门诊医师患者共享网络的分析,确定门诊医师网络的特征。使用网络特征作为预测因子,并根据医生的专业和社会人口学特征进行调整,以“2018年处方ARNI”(存在或不存在)为结果进行二元逻辑回归分析。结果:网络分析包括8370名医生,他们有144,636个联系。开处方者与非开处方者相比,与其他医生有更多的联系(中位数31比23)。回归分析显示,与ARNI处方者的联系数与ARNI处方呈正相关。对于6-10个连接,平均边际效应(AME)为0.04(置信区间[CI] 95% 0.01-0.06),与0-5个连接相比,> 10个连接的AME为0.07 (CI 95% 0.05-0.10)。结论:与许多其他医生共享患者的医生更有可能开ARNI,独立于医生的专业。这表明,在病人共享的基础上与其他医生的合作和交流影响了他们的药物处方决定。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Influence of physician networks on prescribing a new ingredient combination in heart failure: a longitudinal claim data-based study.

Background: Since 2016, the combination of sacubitril/valsartan, which combines an angiotensin receptor and neprilysin inhibitor (ARNI), has been recommended in the guidelines for the treatment of heart failure. The adoption of new drugs may be influenced by collaboration and exchange between physicians. We aimed to determine whether characteristics of the professional networks of prescribing physicians were associated with the prescribing of ARNI in Germany.

Methods: We conducted a longitudinal analysis based on claims data in 2016-2018 in Germany. The characteristics of ambulatory care physicians' networks were determined in the analysis of the patient-sharing networks of physicians in 2017. Binary logistic regression analysis with the outcome 'prescribes ARNI in 2018' (present or absent) was carried out, using network characteristics as predictors, adjusted for specialty and sociodemographic characteristics of physicians.

Results: The network analysis included 8370 physicians, who had 144,636 connections. Prescribers had more connections to other physicians compared to non-prescribers (median 31 vs. 23). Regression analysis showed that the numbers of linkages to prescribers of ARNI were positively associated with prescribing ARNI. For 6-10 connections, the average marginal effect (AME) was 0.04 (confidence interval [CI] 95% 0.01-0.06) and for > 10 links the AME 0.07 (CI 95% 0.05-0.10) compared to 0-5 connections to prescriber.

Conclusion: Physicians who shared patients with many other physicians were more likely to prescribe ARNI, independent of physicians' specialty. This suggested that collaboration and exchange on the basis of patient-sharing with other physicians influenced their medication prescribing decisions.

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