The NICE Supplementary Guidance, first issued in 2009 and now enshrined in the Institute’s methods guide, specifies conditions under which ‘end of life’ treatments may be given special weighting relative to other health care interventions. This project seeks to examine whether a social preference exists for giving higher priority to life-extending, end of life treatments than to other types of treatments, using preference data elicited from the general public.
The project comprised four stated preference studies, all of which asked survey respondents to consider a series of hypothetical scenarios and to choose which of two patients they would prefer to treat, assuming that the health service has enough funds to treat one but not both of them.
KK Shah, A Tsuchiya, AJ Wailoo. Valuing health at the end of life: A review of stated preference studies in the social sciences literature. Social Science & Medicine 2018; 204: 39-50
Valuing health at the end of life (seminar at Erasmus University, Rotterdam, 2015)
Assessing technologies at the end of life: a review of empirical evidence (November 2009)
Empirical study 1
KK Shah, A Tsuchiya, A Wailoo. Valuing health at the end of life: an exploratory preference elicitation study. HEDS Discussion Paper 11/17 (December 2011)
Empirical study 2
KK Shah, A Tsuchiya, A Wailoo. Valuing health at the end of life: an empirical study of public preferences. European Journal of Health Economics 2014; 15 (4): 389-399
Valuing health at the end of life: DSU preference study (SMDM conference, Oslo, 2012)
Empirical study 3
Journal article, including updated analysis of the data
KK Shah, A Tsuchiya, A Wailoo. Valuing health at the end of life: a stated preference discrete choice experiment. Social Science & Medicine 2015; 124: 48-56
Valuing health at the end of life: a stated preference discrete choice experiment (December 2012).
Empirical study 4
KK Shah, A Tsuchiya, A Wailoo. Preferences for an end of life ‘premium’: an examination of framing effects and study design considerations (presentation at the International Academy of Health Preference Research meeting, 2017)