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 value^a
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 Race^b			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)

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