Health Economics Research Centre, Nuffield Department of Population Health, University of Oxford, Old Road Campus, Headington, Oxford OX3 7LF, UK.
Health Qual Life Outcomes. 2013 Sep 5;11:151. doi: 10.1186/1477-7525-11-151.
Systematic literature searches were conducted to identify studies that conducted statistical mapping to predict EQ-5D utilities or responses from any source instrument and reported the estimated algorithms in sufficient detail to allow other researchers to use them to predict EQ-5D in other studies. Ninety studies reporting 121 mapping algorithms met the inclusion criteria. The studies estimated EQ-5D utilities from 80 source instruments. All but two studies included direct utility mapping to predict EQ-5D utilities, while 20 studies (22%) conducted response mapping to predict responses to each EQ-5D domain. Seventy-two studies (80%) explored ordinary least squares regression and 16 (18%) used censored least absolute deviations (CLAD) models. The details of the studies identified are made available in an online database, which will be updated regularly to enable researchers to easily identify studies that can help them to estimate utilities for economic evaluation.
系统文献检索旨在识别那些针对任何来源的工具进行统计映射以预测 EQ-5D 效用或反应,并报告了足够详细的估计算法,以便其他研究人员能够在其他研究中使用这些算法来预测 EQ-5D 的研究。有 90 项研究报告了 121 项映射算法符合纳入标准。这些研究从 80 个来源工具中估计了 EQ-5D 效用。除了两项研究外,所有研究都进行了直接效用映射以预测 EQ-5D 效用,而 20 项研究(22%)进行了反应映射以预测每个 EQ-5D 域的反应。72 项研究(80%)探索了普通最小二乘法回归,16 项研究(18%)使用了截断最小绝对偏差(CLAD)模型。已在线数据库中提供了所确定研究的详细信息,该数据库将定期更新,以使研究人员能够轻松识别有助于他们估算效用进行经济评估的研究。