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Clinical focus: Cardiovascular disease- Original research

Patient preferences for mitral valve regurgitation treatment: a discrete choice experiment

ORCID Icon, ORCID Icon, ORCID Icon, ORCID Icon & ORCID Icon
Pages 125-142 | Received 19 Nov 2021, Accepted 16 Dec 2021, Published online: 11 Jan 2022

Figures & data

Table 1. Final DCE Attributes and Levels

Table 2. Treatment Profiles

Table 3. Error component logit model results (main effects, n = 118)

Table 4. Relative attribute importance (RAI) for differences in attribute levels based on ‘beating heart’ versus ‘open-heart surgery-like’ treatment profiles (n = 118)

Table 5. Maximum (or minimum) acceptable risk (MAR) thresholds for A) symptoms reappearing and B) reintervention

Figure 1. Probability of choosing a ‘beating heart’ treatment as each attribute shifts.

Figure 1. Probability of choosing a ‘beating heart’ treatment as each attribute shifts.

Table A1. Initial (version 1) DCE attributes and levels

Table A2. Full description of final attributes and levels

Table A3. Final DCE design

Table A4. Dominance test task

Table A5. Holdout task for comparison of choice probabilities

Table A6. Inclusion and exclusion criteria

Table A7. Participant sociodemographic characteristics (n = 118)

Table A8. Participant clinical characteristics (n = 118)

Table A9. Participant mitral regurgitation treatment history characteristics (n = 118)

Table A10. DCE data quality metrics for the full sample including all complete survey responses (n = 145)

Table A11. Participant evaluation of DCE (n = 118)

Table A12. Swait-Louviere scale test procedure results

Table A13. Conditional/multinomial logit model results (main effects, n = 118)

Table A14. Error component logit model results (main effects, n = 118) – categorical specification

Table A15. Conditional/multinomial logit model results (main effects, n = 118) – categorical specification