From: Development of the SPUR tool: a profiling instrument for patient treatment behavior
US (n = 15) | France (n = 15) | China (n = 30) | UK (n = 15) | |
---|---|---|---|---|
Condition (n) | ||||
Type 2 diabetes | 5 | 4 | 10 | 15 |
COPD | 0 | 0 | 10 | 0 |
Multiple sclerosis | 5 | 6 | 0 | 0 |
Breast cancer with hormone therapy | 5 | 5 | 10 | 0 |
Gender (n) | ||||
Male/female | 5/10 | 4/11 | 15/15 | 5/10 |
Age (years) | ||||
Median (min–max) | 51 (35–71) | 58 (38–77) | 54 (32–63) | 55 (30–80) |
Educational level (n) | ||||
Some high school | 0 | 1 | 1 | 2 |
High school | 4 | 3 | 13 | 3 |
Bachelor’s degree | 2 | 3 | 12 | 6 |
Post-graduate degree | 6 | 8 | 3 | 4 |
Other | 3 | 0 | 0 | 0 |
Employment status (n) | ||||
Full-time | 2 | 5 | 7 | 5 |
Part-time | 3 | 1 | 7 | 1 |
Retired | 2 | 7 | 13 | 8 |
Unemployed | 7 | 2 | 3 | 1 |