Table 3. Predictors of stopping all antidepressant use.
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.