Discrete Choice Experiment

DCE sample size is calculated using the Johnson and Orme formula and adjusted for subgroup and preference heterogeneity analyses. Participants in the DCE choose between hypothetical service scenarios with varied attributes such as travel time, cost, and queer inclusiveness. DCE analysis uses conditional logit, mixed logit, and latent class analysis to estimate average and heterogeneous preferences. The DCE design uses Ngene software and a D-efficient design criterion to improve precision while limiting respondent burden. The DCE gathers preference evidence from LGBTQ+ communities across Australia about healthcare service characteristics identified through GMB.