An acquired taste: latent class analysis to compare adolescent and adult preferences for EQ-5D-Y-3L health states.

IF 4.9 2区 医学 Q1 ECONOMICS
Jonathan L Nazari, Juan M Ramos-Goñi, Ning Yan Gu, A Simon Pickard
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引用次数: 0

Abstract

Objectives: United States stakeholders advised including adolescents in the valuation study for the EQ-5D-Y-3L, a step towards greater acknowledgement of children in informing societal values. This study aimed to assess the relative contribution of adolescent and adult preferences to a model when combined.

Methods: Discrete choice experiment (DCE) data were collected from an online sample of 1,529 adults and 714 adolescents (ages 11-17). Each respondent completed 15 DCE tasks which were analyzed using latent class models representing varying number of preference classes. Within the best-fitting model, the contribution of each class was determined by the 'scale-adjusted class share' (SACS), combining the class's proportion of respondents (class share) and the magnitude of coefficients (within-class scale). We estimated the contribution of adolescent and adult respondents to SACS for each class, with lower SACS representing less contribution to the combined model.

Results: The best fitting model described 6 classes. Adults had higher contribution to all except one class, accounting for 78.7% of the total contribution. After adjusting for the unequal sample size of adolescent and adult respondents, adults contributed approximately 65.0% and adolescents contributed 35.0% of the weights towards a combined model.

Conclusions: Adolescents showed diminished, disproportionate representation in a combined model, due in part to more indifferent, less informative preferences for EQ-5D-Y-3L health states compared to adults. Latent class analysis showcases one approach to estimate and weight contributions from intentionally sampled subgroups in a combined model.

目标:美国的利益相关者建议将青少年纳入 EQ-5D-Y-3L 的评估研究中,这是在更大程度上承认儿童在提供社会价值信息方面的作用的一个步骤。本研究旨在评估青少年和成年人的偏好结合后对模型的相对贡献:离散选择实验(DCE)数据是从 1,529 名成人和 714 名青少年(11-17 岁)的在线样本中收集的。每个受访者都完成了 15 项离散选择实验任务,并使用代表不同数量偏好类别的潜类模型对这些任务进行了分析。在最佳拟合模型中,每个类别的贡献率由 "比例调整类别份额"(SACS)决定,该份额结合了该类别在受访者中所占的比例(类别份额)和系数的大小(类别内比例)。我们估算了青少年和成年受访者对每个类别的 SACS 的贡献,SACS 越低,代表对综合模型的贡献越小:结果:最佳拟合模型描述了 6 个类别。除一个类别外,成人对所有类别的贡献率都较高,占总贡献率的 78.7%。在对青少年和成人受访者的不平等样本量进行调整后,成人和青少年对综合模型的贡献率分别约为 65.0%和 35.0%:结论:与成人相比,青少年对 EQ-5D-Y-3L 健康状况的偏好更冷漠、信息量更少,这在一定程度上导致青少年在综合模型中的代表性降低,比例失调。潜类分析展示了一种估算和加权综合模型中有意抽样的亚组贡献的方法。
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来源期刊
Value in Health
Value in Health 医学-卫生保健
CiteScore
6.90
自引率
6.70%
发文量
3064
审稿时长
3-8 weeks
期刊介绍: Value in Health contains original research articles for pharmacoeconomics, health economics, and outcomes research (clinical, economic, and patient-reported outcomes/preference-based research), as well as conceptual and health policy articles that provide valuable information for health care decision-makers as well as the research community. As the official journal of ISPOR, Value in Health provides a forum for researchers, as well as health care decision-makers to translate outcomes research into health care decisions.
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