Table 3. Predictors of stopping all antidepressant use.

Estimation method: Logistic regression

	Model 1: Pr(stopping)				Model 2: Pr(Stopping without prior medical input)
	Odds ratio	95% confidence interval			Odds ratio	95% confidence interval
Sociodemographic variables
Age group (ref=under 35)
Age 35−54	0.26	0.10	0.67	a	0.33	0.08	1.41
Aged 55 or older	0.13	0.01	1.39	c	0.02	0.00	3.18
Education: more than 12 years (1=yes)	0.66	0.23	1.89		0.60	0.18	2.02
Female (1=yes)	2.63	0.45	15.25		4.71	0.45	48.80
Married (1=yes)	0.24	0.10	0.57	a	0.08	0.03	0.21	a
English proficiency (1= Good/excellent)	0.37	0.13	1.04	c	0.45	0.13	1.51
Economic variables
Health insurance (ref: none)
Private	0.36	0.12	1.10	c	0.06	0.01	0.52	b
Public	0.12	0.03	0.49	a	0.02	0.00	0.13	a
Clinical characteristics
Role functioning problem (1=yes)	0.56	0.18	1.73		0.93	0.32	2.73
Recognizes problem (1=yes)	1.75	0.38	8.01		1.23	0.28	5.39
Number of symptoms of major depression	0.92	0.88	0.97	a	0.90	0.86	0.96	a
Experience with care
Patient took any SSRI (1=yes)	0.35	0.11	1.10	c	0.55	0.18	1.66
Medication prescribed by psychiatrist (1=yes)	0.65	0.18	2.36		1.38	0.47	4.02
Problems with a drug (1=yes)	2.61	0.93	7.30	c	2.92	0.93	9.13	c
Barriers to quality of care (1=yes)	2.69	1.03	7.06	b	8.67	1.45	51.92	b
8+ visits to nonmedical provider (1=yes)	0.37	0.09	1.52		0.06	0.00	0.81	b
N	178				178
Pseudo R-squared	0.2472				0.4036

Note: *** denotes a coefficient significant at p<.01, ** denotes p<.05, * denotes p<.10.

The users who stopped without medical input are a subset of those who stopped.