Table 5 Association between baseline patient characteristics, symptom scores, complexity scores, and clinician’s assessment^{(a, b)}, and treatment response, defined as achievement of a 5 point reduction in PHQ-9 score at last attended visit up to the 5th treatment visit, and drop out form the service, defined as failure to return for treatment after the initial assessment visit. Data analysed using univariate and multivariable logistic regression models. Results presented as odds ratios, with 95% confidence intervals and p-values. Best-fitting multivariable models found by backward selection from all predictors

Age

per 10 years

1.03 (0.85, 1.26), p = 0.756

0.72 (0.54, 0.94), p = 0.017

Gender

Female vs. Male

0.62 (0.37, 1.03), p = 0.066

0.81 (0.41, 1.6), p = 0.555

Current Smoker

Yes vs. No

2.34 (1.31, 4.22), p = 0.004

2.65 (1.06, 7.6), p = 0.048

Current AD Use

Yes vs. No

1.09 (0.66, 1.81), p = 0.742

1.47 (0.77, 2.81), p = 0.239

Prev Prob Count

per problem

1.02 (0.92, 1.14), p = 0.701

1.13 (0.97, 1.32), p = 0.131

Curr Prob Count

per problem

0.94 (0.82, 1.06), p = 0.299

1.02 (0.87, 1.2), p = 0.82

MECAM

per point

0.97 (0.93, 1.02), p = 0.275

1.03 (0.97, 1.1), p = 0.333

PHQ-9

per point

1 (0.95, 1.04), p = 0.953

1.13 (1.07, 1.21), p < 0.001

GAD

per point

0.96 (0.91, 1.01), p = 0.131

1.17 (1.09, 1.27), p < 0.001

CORE-10

per point

0.98 (0.94, 1.02), p = 0.416

1.09 (1.04, 1.16), p = 0.002

Clinician assessment^(a)

No vs. Yes

7.8 (3.03, 24.13), p < 0.001

–

Clinician assessment^(b)

Yes vs. No

–

1.09 (0.47, 2.43), p = 0.838