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. 2018 Mar 20;18:191. doi: 10.1186/s12913-018-3000-6

Table 3.

Assessment of waiting times depending on health insurance

Satisfied (%) Acceptable (%) Too long (%)
Health insurance fund
SHI (N = 4805) 64.5 27.5 8.0
 AOK (N = 1081) 64.6 27.3 8.1
 BKK (N = 1054) 62.6 28.8 8.7
 BARMER GEK (N = 720) 63.6 28.4 8.1
 TK (N = 704) 64.8 27.4 7.8
 DAK (N = 539) 69.4 24.3 6.4
 IKK (N = 293) 65.6 25.1 9.3
 Others (N = 414) 63.5 29.4 7.1
Private (N = 813) 77.5 19.1 3.4
Sex
 Male (N = 2746) 67.3 26.4 6.3
 Female (N = 2872) 65.6 26.2 8.2
Age groups
 18–29 (N = 699) 63.3 26.8 9.9
 30–39 (N = 675) 64.7 24.7 10.6
 40–49 (N = 1152) 65.4 26.4 8.2
 50–59 (N = 1076) 66.7 26.8 6.5
 60–69 (N = 1005) 68.1 26.3 5.6
 70–79 (N = 1011) 69.0 26.4 4.6
Region of Residence
 West Germany (N = 4413) 66.9 26.6 6.5
 East Germany (N = 1205) 64.5 25.4 10.1
Town size
 Up to 10,000 (N = 1459) 66.7 26.6 6.7
 10,001–100,000 (N = 2475) 65.3 27.0 7.7
 100,001–500,00 (N = 822) 66.8 25.4 7.8
 From 500,000 (N = 862) 68.9 24.5 6.6
Socioeconomic status
 Lower class (N = 1012) 64.3 27.0 8.7
 Middle class (N = 3231) 66.6 26.2 7.2
 Upper class (N = 1042) 69.5 25.7 4.9
Waiting time in days
 0–1 (N = 2764) 82.1 15.1 2.8
 2–5 (N = 1778) 57.9 35.7 6.4
 6–10 (N = 614) 41.2 44.0 14.8
 > 10 (N = 387) 33.3 35.7 31.0
Health status (%)
 Excellent, very good (N = 1561) 67.8 25.4 6.9
 Good (N = 2889) 66.6 26.1 7.3
 Less good, poor (N = 1115) 63.7 28.2 8.1
All (N = 5618) 66.4 26.3 7.3