Table 1.

Latent Growth Curve Models Predicting Outcomes

Outcome	Identification/Treatment				Competency
	Estimate	(SE)	95% CI		Estimate	(SE)	95% CI
			Lower	Upper			Lower	Upper
Fixed Effects
Intercept	1.99	.73**	.54	3.43	2.63	.85*	.94	4.32
Time	.28	.23	−.18	.73	.03	.27	−.48	.53
Condition (0 = control, 1 = DOCC)	1.62	.51**	.60	2.64	−.49	1.07	−2.63	1.64
Age	.02	.01+	−.001	.04	−.003	.02	−.04	.03
Gender (0 = male, 1 = female)	.04	.21	−.37	.46	.15	.22	−.29	.58
Negative Beliefs	.10	.04*	−.18	−.02	−.03	.04	−.10	.05
Perceived Burden	−.01	.02	−.05	.04	−.04	.02+	−.09	.002
Competency	.35	.11**	.14	.57	-	-	-	-
Time x Condition	.16	.07*	.03	.30	−.45	.34	−1.13	.22
Time x Age	.01	.004*	.001	.01	−.006	.005	−.02	.005
Time x Gender	−.12	.07+	−.26	.02	.13	.07+	−.01	.27
Time x Negative Beliefs	−.04	.01**	−.06	−.02
Time x Competency	−.12	04**	−.19	−.04
Condition x Perceived Burden	−.06	.03+	−.12	.002
Time x Condition x Age					.01	.001*	.003	.03
Random Effects
Intercept variance	.61		.45	.82	.62		.50	.78
Slope variance	.10		.03	.33	.01		<.001	<.001
Covariance	.90		−.87	1.00	.01		<.001	.65
Residual	.51		.45	.58	.56		.50	.62
Model Fit
AIC	536.49				580.42
BIC	597.49				634.79
Log Likelihood	−250.24				−274.21
Conditional R2	.71				.62

Note.

⁺p <.10;

^*p < .05;

^**p < .01;

DOCC = Doctor-Office Collaborative Care (collaborative care intervention)