Table 3.
Relationship between change in IEQ total score, baseline characteristics (categorical variables) and improvement in employment status
| Baseline characteristics | N | Change in IEQ total score Mean (SD) | p valuea |
|---|---|---|---|
| Region | 0.0156 | ||
| Asia | 171 | −6.8 (18.48) | |
| Australia | 3 | −7.7 (13.43) | |
| Europe (non-EU) | 298 | −10.9 (12.86) | |
| European Union | 135 | −7.7 (11.93) | |
| North America | 49 | −4.5 (11.94) | |
| South America | 100 | −10.2 (16.52) | |
| Patient Raceb | 0.0156 | ||
| Asian | 173 | −6.9 (18.42) | |
| Black or African American | 33 | −5.8 (13.64) | |
| Other | 34 | −16.4 (19.30) | |
| White | 515 | −9.3 (12.81) | |
| Prior LAI use at study entry | 0.3947 | ||
| No | 663 | −8.7 (14.52) | |
| Yes | 93 | −10.3 (16.17) | |
| Improvement in employment status | 0.0516 | ||
| No | 688 | −8.6 (14.86) | |
| Yes | 68 | −12.1 (13.08) |
EU European Union, LAI long acting injectable, SD standard deviation
a An ANOVA model was fitted with IEQ total score change at end point (DB) from baseline (OL) as the outcome variable, and Study ID as a factor. In addition, variables for baseline characteristics (i.e., region, patient race, prior LAI use) and improvement in employment status were included in the model as a factor one at a time
b Mean (SD) results for Race of “not reported” was not listed due to small sample (n = 1)