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Table 2 Assessment of statin prescribing for CVD risk management in accordance with national care guidelines

From: A cross-sectional study evaluating cardiovascular risk and statin prescribing in the Canadian Primary Care Sentinel Surveillance Network database

Characteristic

Statin prescription

Unadjusteda

Adjustedb

 

Deviates from guidelines

Adheres with guidelines

OR

p-value

OR

p-value

 

N (%)

N (%)

(95% CI)

 

(95% CI)

 

Age group (years)

  35–44

5,157 (10.75)

42,832 (89.25)

reference

 

referencec

 

  45–54

14,595 (19.42)

60,548 (80.58)

2.00

 < 0.001

1.73

 < 0.001

(1.94–2.07)

(1.65–1.82)

  55–64

24,799 (32.06)

52,549 (67.94)

3.92

 < 0.001

3.01

 < 0.001

(3.79–4.05)

(2.87–3.15)

  65–75

25,823 (41.01)

37,146 (58.99)

5.77

 < 0.001

3.84

 < 0.001

(5.59–5.97)

(3.66–4.02)

Sex

  Male

38,648 (34.28)

74,097 (65.72)

1.96

 < 0.001

1.74

 < 0.001

(1.92–1.99)

(1.70–1.79)

  Female

31,726 (21.05)

118,978 (78.95)

reference

–

reference

–

Socioeconomic deprivation quintiles

  Q1 (least)

7,560 (23.43)

24,709 (76.57)

reference

–

reference

–

  Q2

8,436 (23.19)

27,946 (76.81)

0.99

0.456

1.01

0.684

(0.95–1.02)

(0.97–1.05)

  Q3

7,130 (23.59)

23,089 (76.41)

1.01

0.624

1.01

0.543

(0.97–1.05)

(0.97–1.05)

  Q4

6,131 (25.91)

17,531 (74.09)

1.14

 < 0.001

1.10

 < 0.001

(1.10–1.19)

(1.05–1.14)

  Q5 (most)

6,183 (28.43)

15,563 (71.57)

1.30

 < 0.001

1.21

 < 0.001

(1.25–1.35)

(1.16–1.26)

Diabetes

  Yes

14,383 (43.10)

18,989 (56.90)

3.23

 < 0.001

2.25

 < 0.001

(3.15–3.32)

(2.19–2.31)

  No

21,057 (18.99)

89,849 (81.01)

reference

–

reference

–

Hypertension

  Yes

15,335 (35.08)

28,382 (64.92)

2.16

 < 0.001

1.27

 < 0.001

(2.11–2.22)

(1.24–1.31)

  No

20,105 (19.99)

80,456 (80.01)

reference

–

reference

–

  1. aBased on simple logistic regression models investigating the univariate effects of independent variables on the outcome (deviation from guidelines)
  2. bBased on simple logistic regression models investigating the multivariate effects of independent variables on the outcome (deviation from guidelines)
  3. cLevel of independent variable used as reference against which the odds of the other levels occurring are determined. For example, in this instance, the odds of prescribing outside of guidelines (versus adhering to guidelines) are almost 4 times greater among those aged 65–75 years compared to the 35–44 years group
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BMC Primary Care

ISSN: 2731-4553

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