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Table 2 Representativeness of participant sample (Tailoring study)

From: Practical application of opt-out recruitment methods in two health services research studies

 

Veterans eligible to receive opt-out letter

Veterans mailed opt-out letter

Veterans who received opt-out letter

Veterans who participated

p-value (eligible vs. participated)*

p-value (mailed opt-out vs. participated)

p-value (received opt-out vs. participated)

N

70119

3703

3533

762

   
  

Mean (SD)

Mean (SD)

Mean (SD)

Mean (SD)

p

p

p

Age

(Years)

51.6 (13.8)

50.8 (13.8)

51.0 (13.8)

51.6 (12.5)

.35

.48

.70

  

N (%)

N (%)

N (%)

N (%)

p

p

p

Gender

Male

62280 (88.8)

2947 (79.6)

2806 (79.4)

574 (75.3)

<.0001

<.01

.01

Female

7839 (11.2)

756 (20.4)

727 (20.6)

188 (24.7)

   

Race

Native American

1488 (2.1)

66 (1.8)

64 (1.8)

13 (1.7)

.08

.82

.86

Asian/Pacific Islander

833 (1.2)

42 (1.1)

40 (1.1)

8 (1.1)

   

Black

12170 (17.4)

474 (12.8)

451 (12.8)

105 (13.8)

   

White

50271 (71.7)

2811 (75.9)

2688 (76.1)

582 (76.4)

   

Unknown

5357 (7.6)

310 (8.4)

290 (8.2)

54 (7.1)

   

Ethnicity

Hispanic

n/a

n/a

n/a

46 (6.0)

n/a

n/a

n/a

Not Hispanic

n/a

n/a

n/a

712 (93.4)

   

Unknown

n/a

n/a

n/a

4 (0.5)

   

MH Use

MH Use

46672 (66.6)

2498 (67.5)

2375 (67.2)

532 (69.8)

.06

.20

.17

No MH Use

23447 (33.4)

1205 (32.5)

1158 (32.8)

230 (30.2)

   

Rural/Urban

Rural

20426 (29.1)

1070 (28.9)

1023 (29.0)

230 (30.2)

.39

.45

.46

Urban

49279 (70.3)

2611 (70.5)

2489 (70.5)

525 (68.9)

   

Missing

414 (0.6)

22 (0.6)

21 (0.6)

7 (0.9)

   
  1. *Note that p-values are calculated from independent samples t-tests for continuous variables and chi squared tests for categorical variables