Department of General Practice and Health Services Research, Heidelberg University Hospital, Im Neuenheimer Feld 130.3, 69120, Heidelberg, Germany.
Implement Sci. 2021 Aug 28;16(1):84. doi: 10.1186/s13012-021-01150-y.
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.
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.
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.
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.
自 2016 年以来,血管紧张素受体和脑啡肽酶抑制剂(ARNI)的组合沙库巴曲缬沙坦已被推荐用于心力衰竭的治疗指南。新药的采用可能受到医生之间合作和交流的影响。我们旨在确定开处方医生的专业网络特征是否与德国 ARNI 的处方有关。
我们基于德国 2016-2018 年的索赔数据进行了纵向分析。在 2017 年对医生的患者共享网络进行分析时,确定了门诊医生网络的特征。使用二元逻辑回归分析,以“2018 年处方 ARNI”(存在或不存在)作为结果,将网络特征作为预测因素进行分析,调整了医生的专业和社会人口统计学特征。
网络分析包括 8370 名医生,他们有 144636 个联系。与非处方医生相比,处方医生与其他医生的联系更多(中位数 31 对 23)。回归分析表明,与 ARNI 处方医生的联系数量与处方 ARNI 呈正相关。对于 6-10 个联系,平均边际效应(AME)为 0.04(95%置信区间 [CI] 0.01-0.06),对于 >10 个联系,AME 为 0.07(95%CI 0.05-0.10)与 0-5 个与处方医生的联系相比。
与许多其他医生共享患者的医生更有可能开 ARNI,而与医生的专业无关。这表明,基于与其他医生的患者共享进行合作和交流会影响他们的药物处方决策。