Cataloging health state utility estimates for Duchenne muscular dystrophy and related conditions.

IF 4.3 3区 材料科学 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC
Lauren A Do, Lauren E Sedita, Alexa C Klimchak, Rachel Salazar, David D Kim
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Abstract

Background: Duchenne muscular dystrophy (DMD) is a genetic disease resulting in progressive muscle weakness, loss of ambulation, and cardiorespiratory complications. Direct estimation of health-related quality of life for patients with DMD is challenging, highlighting the need for proxy measures. This study aims to catalog and compare existing published health state utility estimates for DMD and related conditions.

Methods: Using two search strategies, relevant utilities were extracted from the Tufts Cost-Effectiveness Analysis Registry, including health states, utility estimates, and study and patient characteristics. Analysis One identified health states with comparable utility estimates to a set of published US patient population utility estimates for DMD. A minimal clinically important difference of ± 0.03 was applied to each DMD utility estimate to establish a range, and the registry was searched to identify other health states with associated utilities that fell within each range. Analysis Two used pre-defined search terms to identify health states clinically similar to DMD. Mapping was based on the degree of clinical similarity.

Results: Analysis One identified 4,308 unique utilities across 2,322 cost-effectiveness publications. The health states captured a wide range of acute and chronic conditions; 34% of utility records were extrapolated for US populations (n = 1,451); 1% were related to pediatric populations (n = 61). Analysis Two identified 153 utilities with health states clinically similar to DMD. The median utility estimates varied among identified health states. Health states similar to the early non-ambulatory DMD phase exhibited the greatest difference between the median estimate of the sample (0.39) and the existing estimate from published literature (0.21).

Conclusions: When available estimates are limited, using novel search strategies to identify utilities of clinically similar conditions could be an approach for overcoming the information gap. However, it requires careful evaluation of the utility instruments, tariffs, and raters (proxy or self).

为杜氏肌肉萎缩症及相关疾病的健康状况效用估算编目。
背景:杜兴氏肌营养不良症(DMD)是一种遗传性疾病,会导致进行性肌无力、丧失行动能力和心肺并发症。直接评估 DMD 患者与健康相关的生活质量具有挑战性,因此需要使用替代指标。本研究旨在对已发表的 DMD 及相关疾病的健康状态效用估计值进行编目和比较:方法:采用两种搜索策略,从塔夫茨成本效益分析注册中心提取相关效用,包括健康状态、效用估计值以及研究和患者特征。分析一确定了与一组已公布的美国 DMD 患者人群效用估计值具有可比效用估计值的健康状态。每个 DMD 实用性估计值的最小临床重要性差异为 ± 0.03,以确定一个范围,然后在注册表中进行搜索,以确定在每个范围内具有相关实用性的其他健康状态。分析二使用预先定义的搜索条件来确定与 DMD 临床相似的健康状况。结果:分析一在 2,322 篇成本效益出版物中发现了 4,308 种独特的效用。健康状态涵盖了各种急性和慢性疾病;34%的效用记录是针对美国人群推断的(n = 1,451);1%与儿科人群有关(n = 61)。分析二确定了 153 项效用,其健康状况在临床上与 DMD 相似。不同健康状态的效用估计值中值各不相同。与早期非行动不便的 DMD 阶段类似的健康状态在样本估计值中位数(0.39)和已发表文献的现有估计值(0.21)之间的差异最大:结论:在现有估计值有限的情况下,使用新颖的搜索策略来确定临床类似情况的效用可能是克服信息差距的一种方法。然而,这需要对效用工具、关税和评分者(代理或自我)进行仔细评估。
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
CiteScore
7.20
自引率
4.30%
发文量
567
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