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Table 2 Characteristic in 2017 according to 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 = 7927 n = 4965 (62.6) n = 2962 (37.4)
n (%) n (%) n (%)
Specialists     < 0.001a
 Family doctors 2266 (28.6) 1395 (28.1) 871 (29.4)  
 General practitioners 4802 (60.6) 2970 (59.8) 1832 (61.9)  
 Internal medicine 144 (1.8) 118 (2.4) 26 (0.9)  
 Cardiologists 357 (4.5) 147 (3.0) 210 (7.1)  
 Pneumologists 144 (1.8) 142 (2.9) 2 (0.1)  
 Angiologists 34 (0.4) 31 (0.6) 3 (0.1)  
 Nephrologists 180 (2.3) 162 (3.3) 18 (0.6)  
Sex     < 0.001a
 Male 4884 (61.6) 2856 (57.5) 2028 (68.5)  
 Female 3043 (38.4) 2109 (42.5) 934 (31.5)
Age, years (mean, SD) 55.41 (9.0) 55.55 (8.9) 55.39 (9.1) 0.34b
Location (n = 7917)     < 0.001a
 Rural 3501 (44.2) 2052 (41.4) 1449 (48.9)  
 Urban 4416 (55.8) 2904 (58.6) 11512 (51.1)
Family doctor-centred care     < 0.001a
 No 4338 (54.7) 3057 (61.6) 1281 (43.2)  
 Yes 3589 (45.3) 1908 (38.4) 1681 (56.8)
Disease management programme     < 0.001a
 No 1675 (21.1) 1393 (28.1) 282 (9.5)  
 Yes 6252 (78.9) 3572 (71.9) 2680 (90.5)
  1. aChi-squared test; bWilcoxon’s rank-sum test