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Table 3 Comparison of study population with and without a migration background and having no GP with adjusted odds ratios (aOR) and 95% confidence intervals (CI) estimated from logistic regression (DEGS1)

From: Determinants of having no general practitioner in Germany and the influence of a migration background: results of the German health interview and examination survey for adults (DEGS1)

 

study population (no migration background) n = 6552

study population (migration background) n = 1102

Having no GP (migration population only)

n = 1102

na (%)

na (%b)

aOR (95% CI)c

Having a GP

 Yes

6081 (91.9)

970 (85.2)

–

 No

471 (8.1)

132 (14.8)

–

Migration background

 two-sided

–

753 (76.0)

2.02 (0.82–4.97)

 one-sided

–

349 (24.0)

ref.

Migration generation

 First generation

–

653 (66.3)

1.01 (0.45–2.26)

 Second generation

–

449 (33.7)

ref.

Knowledge of the German language (subjectively)

 Average/bad/very bad

–

111 (14.1)

1.64 (0.92–2.92)

 Native speaker/very good/good

–

981 (85.9)

ref.

Gender

*

 Male

3116 (50.0)

518 (49.1)

1.78 (1.11–2.85)

 Female

3436 (50.0)

584 (50.9)

ref.

Age groups (years)

*

 18–44

2220 (41.2)

509 (58.0)

1.67 (1.03–2.71)

 45–79

4332 (58.8)

593 (42.0)

ref.

Residential area (inhabitants)

 Big city (100,000+)

1721 (28.2)

425 (42.0)

1.54 (1.01–2.37)

 Rural/Small town/Medium-sized town (< 100,000)

4831 (71.8)

677 (58.0)

ref.

Marital status

 Single/divorced/widowed

2237 (38.0)

369 (36.7)

1.06 (0.62–1.83)

 Married

4276 (62.0)

724 (63.3)

ref.

SES

 Low

886 (16.0)

253 (29.5)

0.79 (0.39–1.57)

 Medium

4004 (62.3)

606 (54.4)

0.57 (0.28–1.15)

 High

1656 (21.7)

241 (16.2)

ref.

Excess work (≥50 h/week)

 Yes

516 (8.7)

73 (6.7)

0.92 (0.43–1.97)

 No/non-working/65+ years

5946 (91.3)

1012 (93.3)

ref.

General state of health

 Average/bad/very bad

1658 (24.5)

302 (24.9)

0.94 (0.46–1.92)

 Very good/good

4872 (75.5)

796 (75.1)

ref.

Chronic diseases

 Yes

2137 (29.9)

322 (23.2)

0.42 (0.17–1.09)

 Do not know

303 (5.3)

67 (6.5)

1.53 (0.63–3.73)

 No

4112 (64.8)

713 (70.4)

ref.

Health insurance

 Private/others

904 (13.7)

84 (6.0)

2.37 (1.06–5.26)

 Statutory

5640 (86.3)

1016 (94.0)

ref.

  1. aUnweighted n may not add up to total n due to missing responses
  2. bWeighted results to match the German population structure on 31th December 2010
  3. cAdjusted odds ratios estimated from logistic regression, missing responses were allocated to the reference category (n = 1102). P values: *** p < 0.001 ** p < 0.01 * p < 0.05
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BMC Health Services Research

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