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. 2009 Sep 24;13(1):24–32. doi: 10.1111/j.1369-7625.2009.00577.x

Table 3.

 Reporting of four types of discrimination across patient subgroups

Discrimination related to
Migration Age or sex Physical/sexual characteristics Social/economicstatus
% (n) P‐value (χ2 test) % (n) P‐value (χ2 test) % (n) P‐value (χ2 test) % (n) P‐value (χ2 test)
Sex
 Men 3.2 (21) 0.013 2.5 (16) 0.20 3.5 (23) 0.24 3.8 (25) 0.33
 Women 6.0 (53) 3.6 (32) 4.8 (42) 2.9 (26)
Age (years)
 18–24 8.9 (7) 0.011 15.2 (12) 0.001 7.6 (6) 0.043 5.1 (4) 0.24
 25–44 7.0 (32) Linear trend: <0.001 2.4 (11) Linear trend: 0.048 6.1 (28) Linear trend: 0.018 3.7 (17) Linear trend: 0.07
 45–64 4.5 (20) 1.6 (7) 3.0 (13) 4.3 (19)
 65–84 2.7 (13) 3.0 (14) 3.0 (14) 1.9 (9)
 ≥85 2.4 (2) 4.8 (4) 4.8 (4) 2.4 (2)
Country of birth
 Switzerland 1.0 (8) <0.001 3.1 (24) 0.60 4.3 (33) 0.77 2.3 (18) 0.025
 Other European 5.1 (25) 2.4 (12) 3.9 (19) 3.5 (17)
 Non‐European 15.1 (36) 3.8 (9) 5.0 (12) 5.9 (14)
Highest education
 Elementary 6.5 (26) 0.18 4.0 (16) 0.52 5.0 (20) 0.64 2.5 (10) 0.78
 Vocational 3.2 (15) Lineartrend: 0.37 2.8 (13) Linear trend: 0.18 4.3 (20) Linear trend: 0.12 3.4 (15) Linear trend: 0.92
 High school 4.1 (5) 2.4 (3) 4.1 (5) 4.1 (5)
 Professional 3.4 (8) 3.4 (8) 3.0 (7) 2.1 (5)
 University 4.9 (12) 1.6 (4) 2.9 (7) 2.9 (7)
Health status
 Excellent 4.5 (5) 0.005 3.6 (4) 0.33 1.8 (2) 0.001 2.7 (3) 0.006
 Very good 5.8 (15) Linear trend: 0.13 2.3 (6) Linear trend: 0.21 0.8 (2) Linear trend: <0.001 2.3 (6) Linear trend: 0.005
 Good 3.0 (21) 2.4 (17) 3.0 (21) 2.0 (14)
 Fair 4.8 (14) 3.5 (10) 6.9 (20) 5.2 (15)
 Poor 10.4 (13) 5.6 (7) 14.4 (18) 7.2 (9)
Type of ward
 Public 5.2 (72) 0.058 3.4 (48) 0.018 4.6 (64) 0.025 3.6 (50) 0.081
 Private 1.5 (2) 0.0 (0) 0.7 (1) 0.7 (1)