TABLE 1.
Demographics by Site: Patient Participants
| Site I1 n = 63 n (%) | Site I2 n = 42 n (%) | Site I3 n = 16 n (%) | Site C1 n = 248 n (%) | Site C2 n = 148 n (%) | Total n = 517 n (%) | |
|---|---|---|---|---|---|---|
| Gender | ||||||
| Male | 24 (38.1) | 19 (45.2) | 6 (37.5) | 94 (37.9) | 39 (26.4)a | 182 (35.2) |
| Female | 39 (61.9) | 23 (54.8) | 10 (62.5) | 154 (62.1) | 109 (73.6) | 335 (64.8) |
| Ethnicity | ||||||
| Hispanic | 4 (6.3) | 7 (16.7) | 1 (6.3) | 50 (20.2)b | 142 (95.9)b | 204 (39.5) |
| Non-Hispanic | 50 (79.4) | 27 (64.3) | 3 (18.8) | 181 (73.0) | 0 (0.0) | 261 (50.5) |
| Did not disclose | 9 (14.3) | 8 (19.0) | 12 (75.0) | 17 (6.9) | 6 (4.1) | 52 (10.0) |
| Race | ||||||
| White | 43 (68.3) | 33 (78.6) | 11 (68.8) | 165 (66.5) | 111 (75.0)c | 363 (70.2) |
| African American | 0 (0.0) | 0 (0.0) | 0 (0.0) | 4 (1.6) | 0 (0.0) | 4 (0.8) |
| American Indian/Alaska Native | 0 (0.0) | 0 (0.0) | 0 (0.0) | 3 (1.2) | 0 (0.0) | 3 (0.6) |
| Asian | 0 (0.0) | 0 (0.0) | 0 (0.0) | 0 (0.0) | 0 (0.0) | 0 (0.0) |
| Pacific Islander | 0 (0.0) | 0 (0.0) | 0 (0.0) | 0 (0.0) | 0 (0.0) | 0 (0.0) |
| Other | 1 (1.6) | 2 (4.8) | 0 (0.0) | 41 (16.5) | 0 (0.0) | 44 (8.5) |
| Did not disclose | 19 (30.2) | 7 (16.7) | 5 (31.3) | 35 (14.1) | 37 (25.0) | 103 (19.9) |
| Age range in years | ||||||
| 18-29 | 0 (0.0) | 0 (0.0) | 0 (0.0) | 0 (0.0) | 1 (0.7) | 1 (0.2) |
| 30-39 | 3 (4.8) | 1 (2.4) | 0 (0.0) | 4 (1.6) | 3 (2.0) | 11 (2.1) |
| 40-49 | 3 (4.8) | 6 (14.3) | 0 (0.0) | 20 (8.1) | 17 (11.5) | 46 (8.9) |
| 50-59 | 12 (19.0) | 6 (14.3) | 1 (6.3) | 56 (22.6) | 44 (29.7) | 119 (23.0) |
| 60-64 | 10 (15.9) | 7 (16.7) | 2 (12.5) | 56 (22.6) | 23 (15.5) | 98 (19.0) |
| 65-74 | 20 (31.7) | 16 (38.1) | 7 (43.8) | 73 (29.4) | 43 (29.1) | 159 (30.8) |
| ≥75 | 15 (23.8) | 6 (14.3) | 6 (37.5)d | 39 (15.7) | 17 (11.5) | 83 (16.1) |
| Median age group | 65-74 | 65-74 | 65-74 | 65-74 | 65-74 | 65-74 |
Notes: Sites I1, I2, and I3 = independent community pharmacies; sites C1 and C2 = community health center pharmacies. Percentages may not equal 100% due to rounding.
aC2 had a different gender distribution than C1 and I2 (P = 0.003).
bI1 had a different ethnicity composition than C1. C2 had a difference in ethnicity than the other sites (P < 0.05).
cC1 had a different race distribution than C2 and I1 (P = 0.003).
dI3 had an older patient sample than C1 (P = 0.003).