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Table 3 Logistic regression analysis for predictors of AD prescription

From: Antidepressant prescription practice and related factors in Switzerland: a cross-sectional analysis of health claims data

Variables

AD prescription

OR (95% CI)

P

Age group (yrs.)a

 0–14

0.03 (0.03–0.03)

< 0.001

 15–24

1.0

 

 25–34

1.50 (1.45–1.55)

< 0.001

 35–44

2.03 (1.97–2.10)

< 0.001

 45–54

2.25 (2.18–2.32)

< 0.001

 55–64

1.81 (1.76–1.87)

< 0.001

 65–74

1.34 (1.29–1.38)

< 0.001

 75–84

1.67 (1.61–1.72)

< 0.001

  ≥ 85

2.32 (2.24–2.41)

< 0.001

Sex (female)

1.52 (1.50–1.54)

< 0.001

Insurance plan (managed care)b

0.85 (0.84–0.86)

< 0.001

High deductiblec

0.44 (0.45–0.43)

< 0.001

Area of residence (rural)d

0.94 (0.93–0.96)

< 0.001

Number of Comorbiditiese

 1–2

3.26 (3.20–3.32)

< 0.001

 3–4

6.68 (6.54–6.83)

< 0.001

  ≥ 5

13.79 (13.45–14.14)

< 0.001

  1. OR Odds Ratio, CI Confidence Interval; aage group 15–24 is the reference group; bmanaged care is the reference group; c high deductible is the reference group; drural area is the reference group; eNo comorbidities is the reference group