Center for Pharmacoeconomic Research and Department of Pharmacy Practice and Pharmacy Administration, University of Illinois at Chicago, 833 South Wood St., Room 164, M/C 886, Chicago, IL 60612, USA.
Qual Life Res. 2013 May;22(4):853-74. doi: 10.1007/s11136-012-0207-6. Epub 2012 Jun 23.
The goal of this study was to appraise the extent of unique content on disease-specific preference-based measures (DSPMs) when contrasted with the EQ-5D using published studies and to inform whether EQ-5D could be inadequate as a utility measure in its content coverage for a given disease-specific application.
A structured search of published literature was performed using PubMed and EMBASE/Medline database from Jan 1, 1990 to Mar 31, 2011. Articles were eligible for inclusion if algorithms were developed to convert components from disease-specific measures into utility scores.
Of 1,029 articles identified, 50 studies satisfied the inclusion criteria. The most frequent conditions where DSPMs were developed included cancer (12 studies), coronary artery disease (4 studies), osteoarthritis, rheumatoid arthritis (3 studies of each), obesity, and stroke (2 studies of each). Most studies involved mapping items or scores from disease-specific non-preference-based measures onto a preference-based measure of health such as the EQ-5D. A substantial number of DSPMs appeared to include unique content not covered by EQ-5D dimensions.
Several conditions were identified as potential areas where the richness of the EQ-5D descriptive system could be enhanced. It is yet unclear whether added dimension(s) would contribute unique explained variance to a utility score. Given the resources required to rigorously develop a utility measure, the need for such measures should be carefully vetted.
本研究旨在通过已发表的研究评估特定疾病偏好性测量(DSPM)与 EQ-5D 相比时其特有内容的程度,并探讨 EQ-5D 在特定疾病应用中是否可能因其涵盖的内容不足而无法作为效用测量。
使用 PubMed 和 EMBASE/Medline 数据库,从 1990 年 1 月 1 日至 2011 年 3 月 31 日进行了已发表文献的结构化搜索。只有在开发了算法将疾病特异性测量的组成部分转换为效用评分的情况下,文章才符合纳入标准。
在确定的 1029 篇文章中,有 50 项研究符合纳入标准。开发 DSPM 的最常见疾病包括癌症(12 项研究)、冠状动脉疾病(4 项研究)、骨关节炎、类风湿关节炎(各 3 项研究)、肥胖症和中风(各 2 项研究)。大多数研究涉及将疾病特异性非偏好性测量的项目或分数映射到健康偏好性测量,如 EQ-5D。许多 DSPM 似乎包含 EQ-5D 维度未涵盖的特有内容。
确定了一些可能需要增强 EQ-5D 描述性系统丰富性的疾病领域。目前尚不清楚增加的维度是否会对效用评分产生独特的解释方差。鉴于开发效用测量所需的资源,需要仔细审查此类测量的必要性。