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Table 3 Patient characteristics and their relationship with receiving mammography screening in the 12 months after visiting a study physician

From: Do physician communication skills influence screening mammography utilization?

 

Mammography screening

  

Patient Characteristics

Yes

No

Odds Ratioa(95% CI)

P- Value

N=32 689

N=64 019

Demographic

mean (SD)

mean (SD)

  

Age, per 10 year increase

56.9 (5.6)

57.4 (5.9)

0.99 (0.98-0.99)

<0.001

Percent high school drop-outs, per 20% increase

31.3 (12.9)

32.1 (13.1)

0.94 (0.90-0.98)

0.001

Family income, in dollars, per $25,000 increaseb

52,302 (23,302)

50,431 (22,754)

1.08 (1.06-1.11)

<0.001

Patient region

No. (%)

No. (%)

  

 Urban

28 263 (86.5)

57 035 (89.1)

reference

 

 Rural region

4 426 (13.5)

6 984 (10.9)

1.44 (1.23-1.69)

<0.001

Health Status

No. (%)

No. (%)

  

Charlson Comorbidity Index

    

 0

25 595 (78.3)

47 912 (74.8)

reference

 

 1-2

6 448 (19.7)

14 448 (22.6)

0.88 (0.84-0.91)

<0.001

 3-4

416 (1.3)

1 114 (1.7)

0.71 (0.63-0.82)

<0.001

 >=5

230 (0.7)

545 (0.9)

0.84 (0.72-0.98)

0.02

Hospitalization in past year

    

 No hospitalization

27 642 (84.6)

52 237 (81.6)

reference

 

 ≥ 1 hospitalization

5 047 (15.4)

11 782 (18.4)

0.97 (0.93-1.02)

0.21

Breast Related Health Care

No. (%)

No. (%)

  

Breast biopsy in past year

    

 No biopsy

32 404 (99.1)

63 514 (99.2)

reference

 

 Biopsy

285 (0.9)

505 (0.8)

1.38 (1.15-1.65)

<0.001

Mammogram in past year

    

 Yes

4 329 (13.2)

22 290 (34.8)

reference

 

 No (due for mammogram)

28 360 (86.8)

41 729 (65.2)

3.94 (3.47-4.48)

<0.001

Self-referral screening available

    

 No

17 945 (54.9)

31 922 (49.9)

reference

 

 Yes

14 744 (45.1)

32 097 (50.1)

0.86 (0.82-0.89)

<0.001

  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.
  2. bin Canadian Dollars.