Public Preferences for Prioritizing Preventive and Curative Health Care Interventions: A Discrete Choice Experiment

被引:51
|
作者
Luyten, Jeroen [1 ,2 ,3 ]
Kessels, Roselinde [4 ,5 ]
Goos, Peter [4 ,5 ,6 ,7 ]
Beutels, Philippe [1 ,8 ]
机构
[1] Univ Antwerp, Vaccine & Infect Dis Inst, Ctr Hlth Econ Res & Modelling Infect Dis, Fac Med & Hlth Sci, B-2610 Antwerp, Belgium
[2] Univ Leuven, Inst Philosophy, Ctr Econ & Eth, Leuven, Belgium
[3] Univ London London Sch Econ & Polit Sci, Dept Social Policy, London WC2A 2AE, England
[4] Univ Antwerp, Dept Econ, Fac Appl Econ, B-2610 Antwerp, Belgium
[5] Univ Antwerp, StatUa Ctr Stat, B-2610 Antwerp, Belgium
[6] Erasmus Univ, Dept Econometr, Erasmus Sch Econ, Rotterdam, Netherlands
[7] Univ Leuven, Fac Biosci Engn, Dept Biosyst, Leuven, Belgium
[8] Univ New S Wales, Sch Publ Hlth & Community Med, Sydney, NSW, Australia
基金
比利时弗兰德研究基金会;
关键词
distribution; efficiency; equity; prevention; QALY; treatment; BAYESIAN OPTIMAL DESIGNS; WILLINGNESS-TO-PAY; CONJOINT-ANALYSIS; RESOURCE-ALLOCATION; WOMENS PREFERENCES; QALY-MAXIMIZATION; TASK-FORCE; RESPONSES; EQUITY; MATTER;
D O I
10.1016/j.jval.2014.12.007
中图分类号
F [经济];
学科分类号
02 ;
摘要
Background: Setting fair health care priorities counts among the most difficult ethical challenges our societies are facing. Objective: To elicit through a discrete choice experiment the Belgian adult population's (18-75 years; N = 750) preferences for prioritizing health care and investigate whether these preferences are different for prevention versus cure. Methods: We used a Bayesian 0-efficient design with partial profiles, which enables considering a large number of attributes and interaction effects. We included the following attributes: 1) type of intervention (cure vs. prevention), 2) effectiveness, 3) risk of adverse effects, 4) severity of illness, 5) link between the illness and patient's health-related lifestyle, 6) time span between intervention and effect, and 7) patient's age group. Results: All attributes were statistically significant contributors to the social value of a health care program, with patient's lifestyle and age being the most influential ones. Interaction effects were found, showing that prevention was preferred to cure for disease in young adults, as well as for severe and lethal disease in people of any age. However, substantial differences were found in the preferences of respondents from different age groups, with different lifestyles and different health states. Conclusions: Our study suggests that according to the Belgian public, contextual factors of health gains such as patient's age and health related lifestyle should be considered in priority setting decisions. The studies, however, revealed substantial disagreement in opinion between different population subgroups.
引用
收藏
页码:224 / 233
页数:10
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