TY - JOUR T1 - Hospice patients’ participation in choice experiments to value supportive care outcomes JF - BMJ Supportive & Palliative Care JO - BMJ Support Palliat Care DO - 10.1136/bmjspcare-2018-001582 SP - bmjspcare-2018-001582 AU - Cara Bailey AU - Philip Kinghorn AU - Alistair Hewison AU - Christina Radcliffe AU - Terry Nicholas Flynn AU - Elizabeth Huynh AU - Joanna Coast Y1 - 2018/11/12 UR - http://spcare.bmj.com/content/early/2018/11/12/bmjspcare-2018-001582.abstract N2 - Background Values used in economic evaluation are typically obtained from the general public, which is problematic when measures are to be used with people experiencing a life-course stage such as the end of life.Objective To assess the feasibility of obtaining values for the ICECAP-Supportive Care Measure (SCM) from patients receiving advanced supportive care through a hospice.Methods Participants completed eight best-worst scaling questions in a think-aloud interview to explain choices in different hypothetical end-of-life scenarios. Three independent raters identified errors in completion of the best-worst scaling task, and thematic analysis of associated qualitative data was undertaken to explore task difficulty and choices.Results Twelve hospice patients were recruited. Most were able to complete the task and prioritise aspects of supportive care with either no difficulty (n=50%) or difficulty in just one of the eight scenarios (n=25%). Two patients (n=17%) were unable to comprehend the hypothetical nature of the task. The qualitative data confirmed there was good engagement with the task and identified the importance the respondents attached to maintaining dignity.Conclusion The findings suggest that people at the end of life will be able to complete a short, interviewer-administered, best-worst scaling task. To maximise engagement, it is recommended that the task is short and initiated with an example. Scenarios are best presented on show-cards in large print. A full evaluation of the ICECAP-SCM with those at the end of life is feasible. ER -