Centre for Applied Health Economics, School of Medicine, Griffith University, Nathan, Queensland, Australia
Menzies Health Institute Queensland, Griffith University, Nathan, Queensland, Australia.
BMJ Open. 2020 Oct 21;10(10):e038626. doi: 10.1136/bmjopen-2020-038626.
A new health state classification system has been developed for dental caries Dental Caries Utility Index (DCUI) to facilitate the assessment of oral health interventions in the cost-utility analysis (CUA). This paper reports the protocol for a valuation study, which aims to generate a preference-based algorithm for the classification system for the DCUI.
Discrete choice experiments (DCEs) will be conducted to value health states generated by the DCUI classification system and preferences for these health states will be modelled to develop a utility algorithm. DCEs produce utility values on a latent scale and these values will be anchored into the full health-dead scale to calculate the quality-adjusted life years in CUA. There is no previous evidence for the most suitable anchoring method for dental caries health state valuation. Hence, we will first conduct pilot studies with two anchoring approaches; DCE including duration attribute and DCE anchoring to worst heath state in Visual Analogue Scale. Based on the pilot studies, the most suitable anchoring method among two approaches will be used in the main valuation survey, which will be conducted as an online survey among a representative sample of 2000 adults from the Australian general population. Participants will be asked to complete a set of DCE choice tasks along with anchoring tasks, basic social-demographic questions, DCUI, a generic preference-based measure and oral health quality of life instrument.
Ethical approval for this study was obtained from the Human Research Ethics Committee, Griffith University (reference number HREC/2019/550). The generated algorithm will facilitate the use of the new dental caries preference-based measure in economic evaluations of oral health interventions. The results will be disseminated through journal articles and professional conferences.
为了便于在成本效用分析(CUA)中评估口腔健康干预措施,已经开发出一种新的龋齿健康状态分类系统——龋齿效用指数(DCUI)。本文报告了一项估值研究的方案,旨在为 DCUI 分类系统生成基于偏好的算法。
将进行离散选择实验(DCE)来评估 DCUI 分类系统生成的健康状态,并对这些健康状态的偏好进行建模,以开发效用算法。DCE 在潜在尺度上产生效用值,这些值将被锚定到完整的健康-死亡尺度上,以计算 CUA 中的质量调整生命年。对于龋齿健康状态估值,没有先前关于最适合锚定方法的证据。因此,我们将首先进行两项锚定方法的试点研究;包括持续时间属性的 DCE 和基于视觉模拟量表最差健康状态的 DCE 锚定。基于试点研究,将在主要估值调查中使用两种方法中最适合的锚定方法,该调查将作为澳大利亚一般人群中 2000 名成年人的代表性样本的在线调查进行。参与者将被要求完成一系列 DCE 选择任务以及锚定任务、基本社会人口统计学问题、DCUI、通用基于偏好的衡量标准和口腔健康生活质量工具。
本研究已获得格里菲斯大学人类研究伦理委员会的伦理批准(参考号 HREC/2019/550)。生成的算法将促进新的龋齿基于偏好的衡量标准在口腔健康干预措施的经济评估中的使用。研究结果将通过期刊文章和专业会议传播。