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Table 1 Demographics of patients

From: Psychometric evaluation of a decision quality instrument for medication decisions for treatment of depression symptoms

 

Total

N = 405

DA

(n = 191)

No DA (n = 214)

p-value

Gender (female)

266 (66%)

122 (64%)

144 (67%)

0.537

Age mean (SD)

40 (13)

39 (12.8)

41 (13.3)

0.218

Hispanic (Yes)

32 (8%)

17 (9%)

15 (8%)

0.76

Race

    

 White

238 (61%)

119 (63%)

119 (60%)

0.592

 Black

103 (27%)

50 (26%)

53 (27%)

 

 Asian

13 (3%)

5 (3%)

8 (4%)

 

 Native Hawaiian/Pacific Islander

0 (0%)

0 (0%)

0 (0%)

 

 American Indian/Alaska Native

5 (1%)

1 (1%)

4 (2%)

 

 Other

4 (1%)

2 (1%)

2 (1%)

 

 Multiple

19 (5%)

9 (5%)

10 (5%)

 

 Not answered

23 (6%)

5 (3%)

18 (8%)

 

Education

    

 College graduate or more

146 (36%)

72 (38%)

74 (35%)

0.84

 Some college

162 (40%)

76 (40%)

86 (40%)

 

 High school or less

85 (21%)

43 (23%)

42 (20%)

 

 Not answered

12 (3%)

0 (0%)

12 (6%)

 

Income

    

  < $30,000

218 (54%)

110 (58%)

108 (50%)

0.74

 $30,001–60,000

89 (22%)

39 (20%)

50 (23%)

 

 $60,001–100,000

52 (13%)

26 (14%)

26 (12%)

 

  > $100,000

23 (6%)

12 (6%)

11 (5%)

 

 Not answered

23 (6%)

4 (2%)

19 (9%)

 

Treatments in past 12 months

    

 Medicine

262 (70%)

123 (69%)

139 (71%)

0.787

 Counseling or therapy

222 (59%)

106 (60%)

116 (59%)

0.979

 Other

158 (40%)

78 (42%)

80 (38%)

0.527

Subjective numeracy scale

33 (9.5%)

33 (9%)

33 (10%)

0.763

Mental health composite score mean (SD)

34 (12)

33 (12)

35 (12)

0.056

Physical composite score mean (SD)

47 (13)

47 (12)

47 (13)

0.662