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Table 1 Demographic and clinical characteristics of patients with and without smoking status recorded in their EMR

From: Methods to improve the quality of smoking records in a primary care EMR database: exploring multiple imputation and pattern-matching algorithms

Variable

Smoking status recorded

(N = 28,634)

Missing smoking status (N = 19,743)

p-value

Female, n (%)

14,547 (50.8)

10,342 (52.4)

0.001

 Missing sex, n (%)

1 (0.0)

1 (0.0)

Age in years, mean (SD)

64.9 (13.4)

65.3 (14.7)

0.001

BMI in kg/m2, mean (SD)

30.9 (6.8)

30.7 (6.8)

0.001

 Missing BMI, n (%)

1660 (5.8)

3334 (16.9)

Systolic BP, mean (SD)

132.3 (16.2)

133.4 (16.5)

< 0.001

Diastolic BP, mean (SD)

78.9 (10.8)

79.2 (10.7)

0.027

 Missing BP, n (%)

84 (0.3)

406 (2.0)

COPD, n (%)

3078 (10.7)

1645 (8.3)

< 0.001

Diabetes, n (%)

8040 (28.1)

4920 (24.9)

< 0.001

Type of EMR system, n (%)

  

< 0.001

 Wolf

20,471 (71.5)

5872 (29.7)

 

 Med Access

7481 (26.1)

13,110 (66.4)

 

 Practice Solutions Suite

448 (1.6)

14 (0.1)

 

 Telin

86 (0.3)

251 (1.3)

 

 Healthquest

148 (0.5)

496 (2.5)

 

Urban residence, n (%)

20,373 (72.6)

15,728 (81.1)

< 0.001

 Missing postal code, n (%)

558 (1.9)

344 (1.7)

Number of total clinical encounters, median (lower quartile, upper quartile)

37.0 (20, 63)

24.0 (12, 44)

< 0.001

  1. Abbreviations: BMI body mass index, BP blood pressure, COPD chronic obstructive pulmonary disease, EMR electronic medical record, SD standard deviation