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Table 4 Multivariable logistic regression dependent variable: ARNI prescription in 2018 (N = 7821)

From: Influence of physician networks on prescribing a new ingredient combination in heart failure: a longitudinal claim data-based study

Variable AME 95% CI p-value
Link to ARNI prescriber (ref. few 0–5 links)
 Medium (6–10 links) 0.04 0.01–0.06 < 0.01
 Many (> 10 links) 0.07 0.05–0.10 < 0.001
Prescription ARNI 2017 (ref. no) 0.39 0.37–0.40 < 0.001
Constraint (multiplied by 10) − 0.05 − 0.07 to − 0.03 < 0.001
Betweenness centrality (multiplied by 1000) − 0.001 − 0.004 to 0.002 0.46
Specialists (ref. family doctors)
 General practitioners − 0.005 − 0.02 to 0.02 0.63
 Internal medicine − 0.14 − 0.23 to − 0.05 0.001
 Cardiologists 0.04 − 0.007 to 0.09 0.09
 Pneumologists − 0.46 − 0.68 to − 0.23 < 0.001
 Angiologists − 0.33 − 0.55 to − 0.10 < 0.01
 Nephrologists − 0.17 − 0.26 to − 0.08 < 0.001
Sex (ref. female) 0.03 0.01–0.05 < 0.01
Urban-rural (ref. rural) − 0.04 − 0.06 to − 0.02 < 0.001
Family-doctors centred care (ref. no) 0.04 0.02–0.06 < 0.001
Disease management programme (ref. no) 0.08 0.05–0.11 < 0.001
Number of patients with heart failure 0.001 0.00–0.001 < 0.001
Total variance explained by the model (R2) 0.41 Cohen’s effect 0.84
  1. AME average marginal effect, CI confidence interval