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Table 4 Physician characteristics and their relationship to providing mammography screening in the 12 months following a patient’s visit

From: Do physician communication skills influence screening mammography utilization?

 

Mammography screening

  

Physician Characteristics

Yes

No

Odds Ratioa(95% CI)

P- Value

N=32 689

N=64 019

Demographics

No. (%)

No. (%)

  

Sex

    

 Male

11 107 (34.0)

25 366 (39.6)

reference

 

 Female

21 582 (66.0)

38 653 (60.4)

1.20 (1.07-1.35)

0.002

Medical School

    

 Canadian

29 297 (89.6)

56 626 (88.4)

reference

 

 International graduate

3 392 (10.4)

7393 (11.6)

1.12 (0.91-1.38)

0.30

Specialty

    

 Family medicine/general practice

29 640 (90.7)

59 54 (93.0)

reference

 

 Medical specialty

259 (0.8)

515 (0.8)

0.79 (0.53-1.18)

0.26

 Surgical specialty

2 780 (8.5)

3 938 (6.2)

1.59 (1.22-2.06)

0.001

Practice Experience

mean (SD)

mean (SD)

  

Number of years of practice, per year increase

3.4 (2.6)

3.7 (2.7)

0.96 (0.95-0.97)

<0.001

Medical Knowledge & Clinical Decision Making Ability

mean (SD)

mean (SD)

  

MCCQE1 score, per 2 SD increase

512.3 (76.6)

510.7 (76.0)

1.05 (0.97-1.12)

0.22

Communication Ability

mean (SD)

mean (SD)

  

MCCQE2 Communication sub-score, per 2 SD increase

516.4 (93.9)

507.6 (98.4)

1.24 (1.11-1.38)

<0.001

MCCQE2 Data acquisition sub-score, per 2 SD increase

531.0 (95.0)

531.1 (91.2)

0.98 (0.92-1.05)

0.58

  1. aEstimated using the generalized estimating equation (GEE) extension of multivariate logistic regression, adjusting for physician sex, specialty, medical school within Canada, years of practice, MCCQE1 exam score, MCCQE2 communication sub-score, MCCQE2 data acquisition sub-score, patient age, patient percent with high school diploma, patient income, patient region urban versus rural, patient comorbidity, patient prior hospitalization, patient breast biopsy or mammogram in previous year, and self referral for screening available. 499 patients had missing values for percent with a high school diploma and family income, and were not included in the regression model.