Furukawa et al 1 posed the question: how can we estimate quality-adjusted life years (QALYs) based on Patient Health Questionnaire-9 (PHQ-9) scores? They recommend equipercentile linking analysis between the depression severity PHQ-9 and preference-based EQ-5D three-level version (EQ-5D-3L; UK value set), the latter used to estimate utility data for QALYs. Furukawa et al 1 refer to the process of ‘cross-walking’, whereby the practice of fitting a statistical model to health utility data has been referred to as ‘mapping’ and 'cross-walking’.2 Furukawa et al 1 reference two mapping-related papers (their references 7 and 9); however, their analysis seems to have missed rigorous mapping methodology and previous studies which have used these mapping processes, alongside other conceptual considerations when wanting to ‘cross-walk’/‘map’ from a non-preference-based (often condition-specific) measure such as the PHQ-9 to the preference-based EQ-5D-3L. …

中文翻译：

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Furukawa 等人关于“我们如何根据 PHQ-9 分数估计 QALY？PHQ-9 和 EQ-5D 的等百分位链接分析”的通讯

Furukawa 等人 1 提出了这样的问题：我们如何根据患者健康问卷 9 (PHQ-9) 分数来估计质量调整生命年 (QALY)？他们建议抑郁症严重程度 PHQ-9 和基于偏好的 EQ-5D 三级版本（EQ-5D-3L；英国值集）之间的等百分位关联分析，后者用于估计 QALY 的效用数据。Furukawa 等人 1 提到“交叉行走”过程，其中将统计模型拟合到健康效用数据的做法被称为“映射”和“交叉行走”。2 Furukawa 等人 1 参考了两种映射-相关论文（参考文献7和9）；然而，他们的分析似乎错过了严格的绘图方法和先前使用这些绘图过程的研究，以及当想要从非基于偏好（通常是特定条件）的“交叉行走”/“绘图”时的其他概念考虑因素测量例如 PHQ-9 到基于偏好的 EQ-5D-3L。……