Discrete Choice Experiment

Uses

How it works

Dosage & preparation

Preparation

Highlighted claims

• The DCE gathers preference evidence from LGBTQ+ communities across Australia about healthcare service characteristics identified through GMB. — The Safer Spaces Project: a whole of community systems approach to co-designing and implementing a ‘Safer Spaces’ model of primary healthcare for LGBTQ+ young people in Western Victoria – a protocol for a mixed-methods study
• Participants in the DCE choose between hypothetical service scenarios with varied attributes such as travel time, cost, and queer inclusiveness. — The Safer Spaces Project: a whole of community systems approach to co-designing and implementing a ‘Safer Spaces’ model of primary healthcare for LGBTQ+ young people in Western Victoria – a protocol for a mixed-methods study
• The DCE design uses Ngene software and a D-efficient design criterion to improve precision while limiting respondent burden. — The Safer Spaces Project: a whole of community systems approach to co-designing and implementing a ‘Safer Spaces’ model of primary healthcare for LGBTQ+ young people in Western Victoria – a protocol for a mixed-methods study
• DCE analysis uses conditional logit, mixed logit, and latent class analysis to estimate average and heterogeneous preferences. — The Safer Spaces Project: a whole of community systems approach to co-designing and implementing a ‘Safer Spaces’ model of primary healthcare for LGBTQ+ young people in Western Victoria – a protocol for a mixed-methods study
• DCE sample size is calculated using the Johnson and Orme formula and adjusted for subgroup and preference heterogeneity analyses. — The Safer Spaces Project: a whole of community systems approach to co-designing and implementing a ‘Safer Spaces’ model of primary healthcare for LGBTQ+ young people in Western Victoria – a protocol for a mixed-methods study