. Author manuscript; available in PMC: 2022 Feb 14.

Published in final edited form as: Psychiatr Serv. 2020 Apr 2;71(7):663–669. doi: 10.1176/appi.ps.201900407

Table 2:_.

Association between Race/Ethnicity and Treatment for Depression (Yes/No) among 2008–2009 Medicaid Beneficiaries with Depression in 28 States and District of Columbia Using Binomial Logistic Regression

Race/Ethnicity	Model #	OR	95% CI
African American	Unadjusted	0.55	0.54–0.56^*
	Model 1	0.54	0.53–0.55^*
	Model 2	0.49	0.48–0.50^*
	Model 3	0.52	0.51–0.53^*

Hispanic	Unadjusted	0.75	0.73–0.77^*
	Model 1	0.75	0.73–0.77^*
	Model 2	0.77	0.75–0.79^*
	Model 3	0.71	0.69–0.73^*

Other	Unadjusted	0.87	0.86–0.89^*
	Model 1	0.80	0.78–0.82^*
	Model 2	0.86	0.84–0.88^*
	Model 3	0.84	0.82–0.86^*

OR: Odds ratio; CI: confidence Interval.

Denotes significant results (P-value <0.05).

White people were the reference group in logistic regression models.

Model 1: sex and age group were adjusted. Model 2: sex, age group, and Elixhauser comorbidity were adjusted. Model 3: sex, age group, Elixhauser comorbidity, and zip code level variables (median personal income, proportion of black residents, proportion of Hispanic residents, proportion with less than high school diploma, and Gini coefficient) were adjusted.