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Pages 893-904 | Received 30 Nov 2023, Accepted 27 Feb 2024, Published online: 19 Mar 2024

Figures & data

Table 1. Attributes and levels used in the discrete-choice experiment.

Figure 1. Example of a Discrete-Choice Experiment Question. Hib: Haemophilus influenzae type b.

Note: Respondents were presented with either the French- or German-translated version of the survey instrument; the example included here is the original English version used for translation.

Figure 1. Example of a Discrete-Choice Experiment Question. Hib: Haemophilus influenzae type b.Note: Respondents were presented with either the French- or German-translated version of the survey instrument; the example included here is the original English version used for translation.

Table 2. Respondent experience and demographic characteristics and other questions.

Table 3. Random-parameters logit model odds ratios: full sample (N = 190).

Figure 2. Conditional relative importance of attributes: full sample (N = 190). Hib: Haemophilus influenzae type b; vs. = versus.

Note: Conditional relative attribute importance is the proportion of total utility gained by switching from the least-to the most-preferred levels of attributes, rescaled to sum to 100% across all attributes.

a With their respective associated preparation time and risk of errors.

Figure 2. Conditional relative importance of attributes: full sample (N = 190). Hib: Haemophilus influenzae type b; vs. = versus.Note: Conditional relative attribute importance is the proportion of total utility gained by switching from the least-to the most-preferred levels of attributes, rescaled to sum to 100% across all attributes.a With their respective associated preparation time and risk of errors.

Figure 3. Conditional relative importance of attributes: subgroup analyses. A. Type of healthcare provider B. Experience with vaccine in the past year. Hib, Haemophilus influenzae type b; vs., versus.

a With their respective associated preparation time and risk of errors.

Figure 3. Conditional relative importance of attributes: subgroup analyses. A. Type of healthcare provider B. Experience with vaccine in the past year. Hib, Haemophilus influenzae type b; vs., versus.a With their respective associated preparation time and risk of errors.

Table 4. Random-parameters logit model odds ratios, subgroup analysis: type of healthcare provider (N = 190).

Table 5. Random-parameters logit model odds ratios, subgroup analysis: experience with vaccine (N = 190).

Supplemental material

Supplemental Material

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