Generating Utilities for the Château-Santé Base: A Novel, Generic, and Patient-Centered Health-Outcome Measure.

IF 4.9 2区 医学 Q1 ECONOMICS
Xin Zhang, Karin M Vermeulen, Nic J G M Veeger, Ruslan Jabrayilov, Paul F M Krabbe
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Abstract

Objectives: We have developed a new patient-centered, preference-based generic health-outcome measure, Château-Santé Base (CS-Base), which is based on a novel multiattribute preference response (MAPR) measurement framework. This study aimed to generate a first utility set for the CS-Base, making it suitable for use in health-economic evaluations.

Methods: CS-Base comprises 12 health attributes: mobility, vision, hearing, cognition, mood, anxiety, pain, fatigue, social functioning, daily activities, self-esteem, and independence, each with 4 levels. Our methodology to generate utilities for the CS-Base was 2-fold. First, we derived coefficients from patient MAPR data to calculate CS-Base values. Subsequently, these were normalized to a 0.0 to 1.0 utility scale, in which 0.0 signifies dead. The dead position was estimated using general population data from a discrete choice experiment (discrete choice experiment + dead), using a division-value strategy, which localize the position of states better or worse than dead.

Results: We analyzed MAPR data from 3222 patients and discrete choice experiment + dead data from 1995 respondents. All MAPR coefficients were negative, logically ordered, and significantly different from the reference level. The dead position was denoted by a division value of -148.385. Utility values spanned from -0.071 to 1.0, and only 53 of 16 777 216 states were deemed worse than dead.

Conclusions: This study introduced the first CS-Base utility set, underlining a 2-step utility derivation method. This method, blending societal and patient views, surpasses traditional preference-based approaches, yielding firmer results. However, improvement of the normalization procedure is expected. Estimating CS-Base utilities is an ongoing process that gains precision over time.

为 CS-Base 生成实用程序:一种新颖、通用、以患者为中心的健康结果测量方法。
目标:我们基于新颖的多属性偏好反应(MAPR)测量框架,开发了一种以患者为中心、以偏好为基础的新型通用健康结果测量方法 CS-Base。本研究旨在为 CS-Base 生成第一个效用集,使其适用于健康经济评估:CS-Base 包括 12 个健康属性:行动能力、视力、听力、认知、情绪、焦虑、疼痛、疲劳、社会功能、日常活动、自尊和独立性,每个属性有四个等级。我们为 CS-Base 生成效用的方法有两种。首先,我们从患者的 MAPR 数据中提取系数来计算 CS-Base 值。然后,将这些值归一化为 0.0-1.0 的效用等级,其中 0.0 表示 "死亡"。死亡 "位置是通过离散选择实验(DCE+Dead)中的普通人群数据估算得出的,采用的是 "分割值 "策略,该策略可定位优于或劣于死亡状态的位置:我们分析了 3,222 名患者的 MAPR 数据和 1,995 名受访者的 DCE+Dead 数据。所有 MAPR 系数均为负值,逻辑有序,且与参考水平有显著差异。死亡 "位置的除法值为-148.385。效用值范围从-0.071 到 1.0,在 16,777,216 个状态中,只有 53 个状态被认为比 "死亡 "状态更糟:本研究首次引入了 CS-Base 实用性集,强调了两步实用性推导法。这种方法融合了社会和患者的观点,超越了传统的基于偏好的方法,取得了更坚实的结果。不过,归一化程序还有待改进。估算 CS-Base 实用性是一个持续的过程,其精确度会随着时间的推移而提高。
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
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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