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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