Inconsistency severity measured by three criteria.

<p>Inconsistency severity measured by three criteria.</p

Interviewer effect on inconsistency: Multinomial logistic model in full dataset, N = 1,296.

<p>Interviewer effect on inconsistency: Multinomial logistic model in full dataset, N = 1,296.</p

Demographic information of interviewees and the summarized information of interview process.

<p>Demographic information of interviewees and the summarized information of interview process.</p

Inconsistency: Multi-level multinomial logistic model in full dataset, N = 1,296.

<p>Inconsistency: Multi-level multinomial logistic model in full dataset, N = 1,296.</p

Observed means of SF-6D and NEI-VFQ and numbers per health state.

<p>Observed means of SF-6D and NEI-VFQ and numbers per health state.</p

Patients' sociodemographic characteristics.

<p>Patients' sociodemographic characteristics.</p

The cognitive-behavioral techniques used in each session.

<p>The cognitive-behavioral techniques used in each session.</p

<i>Tailored</i> consequences model.

<p><i>Tailored</i> consequences model.</p

Estimates for training and waiting group.

<p>Note: Insignificant effects are not presented in this table.</p>1)<p>Role functioning at baseline was different between training and waiting group.</p

Estimates at each time point.

<p>Note: Insignificant effects are not presented in this table.</p>1)<p>d = Cohen's d compared to baseline.</p