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Table 3 Results of the multilevel mixed effects logit regression analysis with the preference to seek medical services for the assessed case vignette as the dependent variable (625 subjects, yes = 1)

From: Case vignettes based on EQ-5D to elicit stated preferences for health services utilization from the insurees’ perspective

Independent Variable

Coefficient

SE

p-value

OR

Predisposing factors of participant

    

 Gender (male = 1)

0.3741

0.1269

0.0032

1.454

 Age (metric in years)

−0.0156

0.0077

0.0440

0.985

 Educational level (CASMIN) (high = 1)

0.2872

0.1429

0.0445

1.333

Enabling factors of participant

    

 Employment status (employed/in training/studying = 1)

−0.0187

0.1552

0.9042

0.982

 Regular doctor (yes = 1)

0.8641

0.3260

0.0081

2.373

Need factor of participant

    

 European Index of the EQ-5D (metric in units)

0.0028

0.0042

0.5153

1.003

Attributes of case vignette

    

 Mobility (problems = 1)

0.6794

0.0777

<0.0001

1.973

 Self-Care (problems = 1)

1.0295

0.0981

<0.0001

2.800

 Usual Activities (problems = 1)

1.0326

0.0801

<0.0001

2.808

 Pain/Discomfort (problems = 1)

1.3797

0.0786

<0.0001

3.974

 Anxiety/Depression (problems = 1)

0.5137

0.0832

<0.0001

1.671

Other factors

    

 Version of questionnaire (first questions on own health = 1)

0.1396

0.1256

0.2665

1.150

 Certainty of choice (NRS 9–10 = 1)

−0.6173

0.1019

<0.0001

0.539

Intercept

−2.6877

0.6544

<0.0001

0.068

  1. SE = Standard Error; OR = Odds Ratio; No. observations = 4836; No. individuals = 625; −2 Res Log Pseudo-Likelihood = 22,676.14; Pseudo-AIC = 22,678.14; Pseudo-BIC = 22,682.58. The difference of the study sample (n = 683) to 625 subjects in the regression analysis is due to missing values in the dependent and/or independent variables