Table 1.
Online survey (n = 237) | Intercept survey (n = 148) | |||
---|---|---|---|---|
Characteristic | n | % | n | % |
Gender | ||||
Female | 117 | 49.4 | 99 | 66.9 |
Male | 120 | 50.6 | 48 | 32.4 |
No answer | 0 | 0.0 | 1 | 0.7 |
Age | ||||
18-29 | 37 | 15.6 | 16 | 10.8 |
30-39 | 33 | 13.9 | 14 | 9.5 |
40-49 | 49 | 20.7 | 33 | 22.3 |
50-64 | 68 | 28.7 | 59 | 39.9 |
≥65 | 50 | 21.1 | 26 | 17.6 |
Education level | ||||
Less than high school | 12 | 5.1 | 9 | 6.1 |
High school diploma | 57 | 24.1 | 38 | 25.7 |
Some college/university | 51 | 21.5 | 29 | 19.6 |
College/university degree | 103 | 43.5 | 55 | 37.2 |
Postgraduate degree | 14 | 5.9 | 16 | 10.8 |
No answer | 0 | 0.0 | 1 | 0.7 |
Household income | ||||
<$10,000 | 5 | 2.1 | 5 | 3.4 |
$10,000-$29,999 | 42 | 17.7 | 12 | 8.1 |
$30,000-$49,999 | 66 | 27.8 | 24 | 16.2 |
$50,000-$99,999 | 70 | 29.5 | 41 | 27.7 |
≥$100,000 | 27 | 11.4 | 31 | 20.9 |
Prefer not to answer | 27 | 11.4 | 32 | 21.6 |
No answer | 0 | 0.0 | 3 | 2.0 |
Health status | ||||
Excellent | 26 | 11.0 | 21 | 14.2 |
Very good | 88 | 37.1 | 57 | 38.5 |
Good | 71 | 30.0 | 58 | 39.2 |
Fair | 39 | 16.5 | 8 | 5.4 |
Poor | 13 | 5.5 | 3 | 2.0 |
No answer | 0 | 0.0 | 1 | 0.7 |
No. of prescriptions filled in the last month | ||||
0 | 30 | 12.7 | 12 | 8.1 |
1-3 | 88 | 37.1 | 49 | 33.1 |
4-6 | 40 | 16.9 | 47 | 31.8 |
7-9 | 24 | 10.1 | 16 | 10.8 |
≥10 | 55 | 23.2 | 23 | 15.5 |
No answer | 0 | 0.0 | 1 | 0.7 |