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基本测量:需求满足生活质量(N-QOL)测量

Fundamental Measurement: The Need Fulfilment Quality of Life (N-QOL) Measure.

作者信息

Langley Paul C, McKenna Stephen P

机构信息

College of Pharmacy, University of Minnesota, Minnesota MN USA; Maimon Research, Tucson AZ USA.

Population Health, University of Manchester, Manchester UK; Galen Research, Manchester UK.

出版信息

Innov Pharm. 2021 May 11;12(2). doi: 10.24926/iip.v12i2.3798. eCollection 2021.

Abstract

The quality adjusted life year (QALY) has serious problems related to its failure to adhere to measurement theory. If a QALY is to be meaningful, the utility score that translates time spent to an equivalent time spent in so-called perfect health must have ratio properties (i.e., it must support multiplication). Multiattribute utility scores (e.g. those generated by the EQ-5D-5L) fail to meet this standard. The multiattribute instruments produce ordinal scores that lack a true zero and they generate negative values. The manifest deficiencies of multiattribute utility instruments render them unfit, not only as a measure of therapy response but also in generating QALY claims. After 30 years of belief in their use, utilities and QALYs are clearly analytical dead ends. The purpose of this commentary is to demonstrate a coherent way forward in health technology assessment by focusing, not on clinical attributes as surrogates for quality of life, but on measures that are based on a conceptual model describing patient value in terms of need-fulfilment. Building on an extensive, yet often overlooked literature, need-based measures that fit Rasch Measurement Theory criteria are converted from ordinal scores to interval scores to evaluate response to therapy. These measures meet the requirements of single attribute fundamental measurement which is the standard in the physical sciences. It is proposed that a translation from a Rasch interval scale (defined by logits) can be transformed to a bounded ratio scale. Need based Quality of Life (N-QOL) scales bounded by 0 (where no needs are fulfilled) to 1 (where all needs are fulfilled) form such scales. The N-QOL supports the full range of arithmetic operations. Multiattribute utilities and mathematically invalid QALYs can be put to one side as unfortunate historical curiosities in favor of a disease or target population specific N-QOL scale. Such a scale has the required properties to evaluate disease specific response to therapy This can also support N-QOL adjusted life years with a need- fulfillment life year (NALY) metric with ratio properties.

摘要

质量调整生命年(QALY)存在严重问题,因为它未能遵循测量理论。如果QALY要有意义,那么将花费的时间转化为在所谓完美健康状态下等效花费时间的效用得分必须具有比率属性(即,它必须支持乘法运算)。多属性效用得分(例如由EQ-5D-5L生成的得分)未能达到这一标准。多属性工具产生的是缺乏真正零点的序数得分,并且会产生负值。多属性效用工具明显的缺陷使其不仅不适用于作为治疗反应的衡量标准,也不适用于生成QALY主张。在相信其用途30年后,效用和QALY显然在分析上走入了死胡同。本评论的目的是展示一种在卫生技术评估中向前发展的连贯方法,即不关注作为生活质量替代指标的临床属性,而是关注基于描述患者需求满足方面的价值的概念模型的测量方法。基于大量但经常被忽视的文献,符合拉施测量理论标准的基于需求的测量方法从序数得分转换为区间得分,以评估对治疗的反应。这些测量方法满足单属性基本测量的要求,这是物理科学中的标准。有人提出,从拉施区间量表(由对数单位定义)的转换可以转化为有界比率量表。由0(表示没有需求得到满足)到1(表示所有需求都得到满足)界定的基于需求的生活质量(N-QOL)量表就构成了这样的量表。N-QOL支持全方位的算术运算。多属性效用和数学上无效的QALY可以作为不幸的历史奇闻搁置一边,转而支持针对特定疾病或目标人群的N-QOL量表。这样的量表具有评估特定疾病治疗反应所需的属性。这也可以支持使用具有比率属性的需求满足生命年(NALY)指标的N-QOL调整生命年。

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