Table 3.
Descriptive statistics of the respondents
| Number of respondents (n) | Percentage (%) or mean (SD) | |
|---|---|---|
| Gender | 885 | |
| Male | 429 | 48% |
| Female | 456 | 52% |
| Age | 885 | 54 (16.53) |
| 18–39 years | 238 | 27% |
| 40–64 years | 418 | 47% |
| 65 years and older | 229 | 26% |
| Education | 873 | |
| Low (none, primary school or pre-vocational education) | 93 | 11% |
| Middle (secondary or vocational education) | 367 | 42% |
| High (professional higher education or university) | 413 | 47% |
| Health (self-reported) | 829 | |
| Bad/fair | 144 | 17% |
| Good | 384 | 46% |
| Very good/excellent | 301 | 36% |
| Health Insurer Trust Scale (range 11–55) | 805 | 37 (5.78) (range: 13–54) |
| Suppose you need one of the above-mentioned types of advice1. Would you approach your health insurer about this? | 745 | |
| Definitely/probably not | 304 | 41% |
| Definitely/probably yes | 441 | 59% |
| What would you think if your health insurer actively approached you with advice1, for example about the quality of a specific care provider? | 685 | |
| (Very) unpleasant | 368 | 54% |
| I would like that/ really appreciate that | 317 | 46% |
1 advice on what the most suitable care provider, waiting list mediation, guidance in arranging care or assistance in preparing a meeting with a doctor