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Table 2 Adjusted Odds Ratios (95% CI) for healthcare utilization in a foreign country in 2007 by country of origin

From: Use of cross-border healthcare services among ethnic Danes, Turkish immigrants and Turkish descendants in Denmark: a combined survey and registry study

Country of Origin

Doctor

 

Model I

Model II

Model III

Model IV

Modul V

 

OR (95% CI)

P

OR (95% CI)

P

OR (95% CI)

P

OR (95% CI)

P

OR (95% CI)

P

General practitioner

Denmark

1.00

 

1.00

 

1.00

 

1.00

 

1.00

 

Turkey

3.91 (2.61-5.86)

<.000

3.86 (2.54-5.87)

<.000

4.56 (2.91-7.13)

<.000

4.25 (2.38-7.60)

<.000

4.49 (1.92-6.32)

<.000

Turkey Descendants

2.37 (1.57-3.58)

<.000

1.72 (1.02-2.90)

.041

1.91 (1.13-3.26)

.017

1.30 (0.69-2.42)

.416

1.19 (0.64-2.23)

.579

Specialist doctor

Denmark

1.00

 

1.00

 

1.00

 

1.00

 

1.00

 

Turkey

8.73 (4.99-15.26)

<.000

10.17 (5.65-18.30)

<.000

12.29 (6.53-23.14)

<.000

9.31 (4.02-21.58)

<.000

6.74 (2.84-16.01)

<.000

Turkey Descendants

2.73 (1.44-5.18)

.002

6.10 (2.51-14.19)

<.000

7.31 (2.91-18.36)

<.000

5.92 (2.06-16.96)

.001

4.97 (1.72-14.41)

.003

Hospital

Denmark

1.00

 

1.00

 

1.00

 

1.00

 

1.00

 

Turkey

7.24 (3.96-13.24)

<.000

8.28 (4.39-15.62)

<.000

9.22 (4.71-18.01)

<.000

7.95 (3.33-18.99)

<.000

5.70 (2.33-13.93)

<.000

Turkey Descendants

4.33 (2.33-8.04)

<.000

4.07 (1.84-9.03)

.001

4.41 (1.95-9.94)

<.000

3.12 (1.19-8.18)

.021

2.48 (0.95-6.48)

.063

Dentist

Denmark

1.00

 

1.00

 

1.00

 

1.00

 

1.00

 

Turkey

3,15 (1.94-5.13)

<.000

3.13 (1.89-5.18)

<.000

3.34 (1.96-5.68)

<.000

5.72 (2.85-11.45)

<.000

5.20 (2.57-10.54)

<.000

Turkey Descendants

1.95 (1.18-3.22)

.010

1.58 (0.82-3.02)

.170

1.72 (0.89-3.33)

.109

2.28 (1.04-4.97)

.039

2.17 (0.996-4.74)

.051

  1. 95% CI indicates 95% confidence interval.
  2. Statistically significant variables (P <.05) are depicted in bold type.
  3. Model I: Using binary logistic regression to adjust for country of origin.
  4. Model II: Using binary logistic regression to adjust for country of origin, sex, age.
  5. Model III: Using binary logistic regression to adjust for country of origin, sex, age, and marital status.
  6. Model IV: Using binary logistic regression to adjust for country of origin, sex, age, marital status, education, employment status, and household income.
  7. Model V: Using binary logistic regression to adjust for country of origin, sex, age, marital status, education, employment status, household income, physical health symptoms, and mental health symptoms.
  8. All estimates are adjusted for all covariates, even though some of the covariates are statistically non-significant.