Developing an Australian utility value set for the Early Childhood Oral Health Impact Scale-4D (ECOHIS-4D) using a discrete choice experiment

The European journal of health economics : HEPAC : health economics in prevention and care(2022)

引用 3|浏览6
暂无评分
摘要
Purpose Preference-based quality of life measures (PBMs) are used to generate quality-adjusted life years (QALYs) in economic evaluations. A PBM consists of (1) a health state classification system and (2) a utility value set that allows the instrument responses to be converted to QALYs. A new, oral health-specific classification system, the Early Childhood Oral Health Impact Scale-4D (ECOHIS-4D) has recently been developed. The aim of this study was to generate an Australian utility value set for the ECOHIS-4D. Methods A discrete choice experiment with duration (DCE TTO ) was used as the preference elicitation technique. An online survey was administered to a representative sample of Australian adults over 18 years. Respondents were given 14 choice tasks (10 tasks from the DCE design of 50 choice sets blocked into five blocks, 2 practice tasks, a repeated and a dominant task). Data were analyzed using the conditional logit model. Results A total of 1201 respondents from the Australian general population completed the survey. Of them, 69% ( n = 829) perceived their oral health status to be good, very good, or excellent. The estimated coefficients from the conditional logit models were in the expected directions and were statistically significant ( p < 0.001). The utility values for health states defined by the ECOHIS-4D ranged from 0.0376 to 1.0000. Conclusions This newly developed utility value set will enable the calculation of utility values for economic evaluations of interventions related to oral diseases such as dental caries among young children. This will facilitate more effective resource allocation for oral health services.
更多
查看译文
关键词
Preference based,Quality-adjusted life years,Children,Health state valuations,Discrete choice experiments,Economic evaluation,Oral health,Early childhood,Pediatric
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要