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Table 4 Description of the study cohort living in the CMA of Montreal (n = 111,556): outcomes and health care utilizations by immigration quintiles

From: Neighbourhood immigration, health care utilization and outcomes in patients with diabetes living in the Montreal metropolitan area (Canada): a population health perspective

    

Immigration

  

Trend test **

Dependent variables

TOTAL

Q1 - Low

Q2

Q3

Q4

Q5 - High

β (p - value)

TOTAL study cohort, n (%)

111,556 (100)

19,833 (17.8)

20,838 (18.7)

22,240 (19.9)

23,318 (20.9)

25,327 (22.7)

−

All-cause death, n (%)

6,453 (5.8)

1,172 (5.9)

1,205 (5.8)

1,364 (6.1)

1,352 (5.8)

1,360 (5.4)

−0.021 (0.0203)

All-cause hospitalization, n (%)

35,928 (32.2)

6,370 (32.1)

6,711 (32.2)

7,304 (32.8)

7,605 (32.6)

7,938 (31.3)

−0.006 (0.1635)

CVD event, n (%)

6,064 (5.4)

1,109 (5.6)

1,216 (5.8)

1,201 (5.4)

1,299 (5,6)

1,239 (4.9)

−0.034 (0.0003)

ED frequent users (≥4), n (%)

29,247 (26.2)

4,617 (23.3)

5,049 (24.2)

5,844 (26.6)

6,443 (27.6)

7,294 (28.8)

0.075 (<.0001)

GP frequent users (≥20), n (%)

29,568 (26.5)

5,669 (28.6)

5,572 (26.7)

5,894 (26.5)

6,139 (26.3)

6,294 (24.8)

−0.040 (<.0001)

MD specialists frequent users (≥5), n (%)

29,975 (26.9)

4,238 (21.4)

5,306 (25.5)

6,333 (28.5)

6,771 (29.0)

7,327 (28.9)

0.092 (<.0001)

Sub-cohort admissible to public drug plan, n (%)

71,620 (100)

11,169 (15.6)

12,058 (16.8)

13,894 (19.4)

15,669 (21.9)

18,830 (26.3)

−

Antidiabetic drugs, n (%)

61,395 (85.7)

9,462 (84.7)

10,247 (85.0)

11,749 (84.6)

13,429 (85.7)

16,508 (87.7)

0.059 (<.0001)

  1. **Logistic regression (binary variables) were used to model trends (+: increasing, −: decreasing) for each dependent variable (first column) over the quintiles of immigration.