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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