Estimating an EQ-5D-Y-3L Value Set for Brazil.

IF 4.4 3区 医学 Q1 ECONOMICS PharmacoEconomics Pub Date : 2024-09-01 Epub Date: 2024-07-02 DOI:10.1007/s40273-024-01404-9
Caique Melo Espirito Santo, Gisela Cristiane Miyamoto, Verônica Souza Santos, Ângela Jornada Ben, Aureliano Paolo Finch, Bram Roudijk, Fabianna Resende de Jesus-Moraleida, Airton Tetelbom Stein, Marisa Santos, Tiê Parma Yamato
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Abstract

Introduction: The EQ-5D-Y-3L is a generic measure of health-related quality of life in children and adolescents. Although the Brazilian-Portuguese EQ-5D-Y-3L version is available, there is no value set for it, hampering its use in economic evaluations. This study aimed to elicit a Brazilian EQ-5D-Y-3L value set based on preferences of the general adult population.

Methods: Two independent samples of adults participated in an online discrete choice experiment (DCE) survey and a composite time trade-off (cTTO) face-to-face interview. The framing was "considering your views for a 10-year-old child". DCE data were analyzed using a mixed-logit model. The 243 DCE predicted values were mapped into the observed 28 cTTO values using linear and non-linear mapping approaches with and without intercept. Mapping approaches' performance was assessed to estimate the most valid method to rescale DCE predicted values using the model fit (R2), Akaike Information Criteria (AIC), root mean squared error (RMSE), and mean absolute error (MAE).

Results: A representative sample of 1376 Brazilian adults participated (DCE, 1152; cTTO, 211). The linear mapping without intercept (R2 = 96%; AIC, - 44; RMSE, 0.0803; MAE, - 0.0479) outperformed the non-linear without intercept (R2 = 98%; AIC, - 63; RMSE, 0.1385; MAE, - 0.1320). Utilities ranged from 1 (full health) to - 0.0059 (the worst health state). Highest weights were assigned to having pain or discomfort (pain/discomfort), followed by walking about (mobility), looking after myself (self-care), doing usual activities (usual activities), and feeling worried, sad, or unhappy (anxiety/depression).

Conclusion: This study elicited the Brazilian EQ-5D-Y-3L value set using a mixed-logit DCE model with a power parameter based on a linear mapping without intercept, which can be used to estimate the quality-adjusted life-years for economic evaluations of health technologies targeting the Brazilian youth population.

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估算巴西的 EQ-5D-Y-3L 值集。
简介EQ-5D-Y-3L 是衡量儿童和青少年健康相关生活质量的通用指标。虽然巴西-葡萄牙语的 EQ-5D-Y-3L 版本已经问世,但没有相关的价值集,这妨碍了它在经济评估中的应用。本研究旨在根据普通成年人的偏好,确定巴西 EQ-5D-Y-3L 值集:方法:两个独立的成人样本分别参加了在线离散选择实验(DCE)调查和综合时间权衡(cTTO)面对面访谈。调查的框架是 "考虑您对一个 10 岁孩子的看法"。离散选择实验数据采用混合对数模型进行分析。使用有截距和无截距的线性和非线性映射方法,将 243 个 DCE 预测值映射为 28 个 cTTO 观察值。使用模型拟合度(R2)、阿凯克信息标准(AIC)、均方根误差(RMSE)和平均绝对误差(MAE)评估了映射方法的性能,以估算出重构 DCE 预测值的最有效方法:1376 名巴西成年人(DCE,1152 人;cTTO,211 人)参与了此次研究。无截距线性映射(R2 = 96%;AIC,- 44;RMSE,0.0803;MAE,- 0.0479)优于无截距非线性映射(R2 = 98%;AIC,- 63;RMSE,0.1385;MAE,- 0.1320)。效用从 1(完全健康)到 -0.0059(最差健康状况)不等。权重最高的是疼痛或不适(疼痛/不适),其次是走动(走动)、照顾自己(自我照顾)、进行日常活动(日常活动)以及感到担忧、悲伤或不开心(焦虑/抑郁):本研究使用混合对数 DCE 模型得出了巴西的 EQ-5D-Y-3L 值集,该模型的功率参数基于无截距的线性映射,可用于估算质量调整生命年,以便对针对巴西青年人群的医疗技术进行经济评估。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
PharmacoEconomics
PharmacoEconomics 医学-药学
CiteScore
8.10
自引率
9.10%
发文量
85
审稿时长
6-12 weeks
期刊介绍: PharmacoEconomics is the benchmark journal for peer-reviewed, authoritative and practical articles on the application of pharmacoeconomics and quality-of-life assessment to optimum drug therapy and health outcomes. An invaluable source of applied pharmacoeconomic original research and educational material for the healthcare decision maker. PharmacoEconomics is dedicated to the clear communication of complex pharmacoeconomic issues related to patient care and drug utilization. PharmacoEconomics offers a range of additional features designed to increase the visibility, readership and educational value of the journal’s content. Each article is accompanied by a Key Points summary, giving a time-efficient overview of the content to a wide readership. Articles may be accompanied by plain language summaries to assist readers who have some knowledge of, but not in-depth expertise in, the area to understand the scientific content and overall implications of the article.
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