Skip to main content

Table 4 Odds ratios for the variable recognition (primary outcome), prescribing antidepressants, referral to specialist mental health services and number of consultations after recognition (secondary outcomes), using mixed effects (logistic or Poisson) regression models on multiple imputed data

From: Effectiveness of a tailored implementation programme to improve recognition, diagnosis and treatment of anxiety and depression in general practice: a cluster randomised controlled trial

Outcome variable

Odds ratio

95% confidence interval

Test statistics andpvalue

Estimated proportion in control group

Estimated proportion in intervention group

Recognition (primary outcome)

1.60*

(1.01, 2.53)

z = 1.99, p = 0.047

0.31

0.42

Number of consultations

1.78*

(1.14, 2.78)

z = 2.52, p = 0.012

0.57a

1.01a

Prescribing antidepressants

1.07

(0.52, 2.19)

z = 0.19, p = 0.849

0.12

0.13

Referral to specialist mental health services

1.62

(0.72, 3.64)

z = 1.16, p = 0.247

0.05

0.08

  1. All mixed effects models were estimated on multiple imputed data (20 datasets) having a multilevel data structure of 444 patients (lowest level) of 40 general practitioners (second level) of 23 practices (highest level).
  2. *p value <0.05.
  3. aFor ā€˜number of consultationsā€™, the incidence rate ratio (IRR) and incidence rates from the Poisson regression are displayed instead of an odds ratio (OR) and probabilities.