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Table 3 Network characteristics in 2017 from prescriber versus non-prescriber in 2018

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

  Total Non-prescriber Prescriber p-value
N = 7831 (100%) (median, IQR) n = 4873 (62.2%) (median, IQR) n = 2958 (37.8%) (median, IQR)
Link to ARNI, n (%)     < 0.001a
 Few (0–5 links) 3212 (41.0) 2342 (48.1) 870 (29.4)  
 Medium (6–10 links) 2521 (32.2) 1431 (29.4) 1090 (36.9)
 Many (> 10 links) 2098 (26.8) 1100 (22.6) 998 (33.7)
Degree centrality 27 (25) 23 (24) 31 (25) < 0.001b
Constraint 0.07 (0.05) 0.08 (0.06) 0.06 (0.03) < 0.001b
Betweenness centrality 0.02 (0.10) 0.01 (0.08) 0.03 (0.14) < 0.001b
  1. aChi-squared test,bWilcoxon’s test
  2. ARNI angiotensin receptor and neprilysin inhibitor
  3. Degree measures the number of connections an actor has in the network (values 0 to 7.830)
  4. Constraint measures the extent to which time and energy is concentrated within a single cluster of connections (values 0 to 1)
  5. Betweenness centrality measures the proportion of pathways in the whole network for which the physician of interest is on the shortest path (values 0 to 1)