Table 2.
End-user participant characteristics.
| Characteristics and survey responses | End-users who prioritised intervention ideas Total Sample n = 15 |
End-users who tested the intervention Total Sample n = 6 |
|---|---|---|
| Frequency (%) | ||
| Gender | ||
| Females | 5 (33.3) | 3 (50.0) |
| Males | 10 (66.7) | 3 (50.0) |
| English preferred language at home | 15 (100.0) | 6 (100.0) |
| Highest level of education | ||
| Primary school or less | 2 (13.3) | 0 (0.0) |
| Some high school | 8 (53.3) | 1 (16.7) |
| High school graduate | 0 (0.0) | 1 (16.7) |
| Some college or university | 3 (20.0) | 3 (50.0) |
| University degree | 2 (13.3) | 0 (0.0) |
| Postgraduate university | 0 (0.0) | 1 (16.7) |
| What role do you like in discussing your medicines with healthcare professionals (i.e. doctors, pharmacists, nurses)? | ||
|
9 (60.0) | 5 (83.3) |
|
6 (40.0) | 1 (16.7) |
| In general, you would rate your health as | ||
| Excellent | 2 (13.3) | 0 (0.0) |
| Very good | 5 (33.3) | 3 (50.0) |
| Good | 4 (26.7) | 0 (0.0) |
| Fair | 2 (13.3) | 3 (50.0) |
| Poor | 2 (13.3) | 0 (0.0) |
| Median (IQR) | ||
| Age (years) | 65 (56.0, 75.0) | 65 (51.5, 74.0) |
| Length of hospital stay (days) | 5.0 (3.9, 15.3) | 2.5 (1.0, 10.0) |
| Total number of discharge medications prescribed per patient | 5.0 (1.0, 7.0) | 6.5 (1.8, 12.3) |