TABLE 1.
Covariates | Inappropriate (n = 95) n (%) | Appropriate (n = 740) n (%) | P valuea |
---|---|---|---|
Sex | |||
Male | 53 (55.8) | 345 (46.6) | 0.233 |
Female | 42 (44.2) | 395 (53.4) | |
Ethnicity | |||
Hispanic/Latinx | 51 (53.7) | 307 (41.5) | 0.009 |
Non-Hispanic/Latinx | 44 (46.3) | 433 (58.5) | |
Race | |||
White | 67 (70.5) | 549 (74.2) | 0.391 |
Other | 28 (29.5) | 191 (25.8) | |
Total annual household income | |||
< $75,000 | 53 (55.8) | 311 (42.0) | < 0.001 |
≥ $75,000 | 42 (44.2) | 429 (58.0) | |
Highest education level | |||
< Associate degree | 57 (60.0) | 307 (41.5) | 0.001 |
≥ Associate degree | 38 (40.0) | 433 (58.5) | |
Incentive type preference | |||
Financial | 69 (72.6) | 707 (95.5) | < 0.001 |
Social | 26 (27.4) | 33 (4.5) | |
Age (years), mean (SD) | 43 (16.03) | 45 (15.08) | 0.137 |
Adherence, mean (SD) | 82 (29.36) | 91 (21.15) | < 0.001 |
Number of medications, mean (SD) | 2.80 (2.28) | 3.45 (3.15) | 0.263 |
Number of chronic conditions, mean (SD) | 1.76 (1.21) | 1.84 (1.03) | 0.026 |
Note: Bold indicates P < 0.05.
a Independent t-tests for continuous variables and chi-square test for categorical variables.