背景。 Functional Assessment of Cancer Therapy-Lung（FACT-L）工具的一部分有助于之前发表的效用指数，即FACT肺效用指数或FACT-LUI。代表肺癌生活质量的六个FACT项目包括疲劳、疼痛、气促、咳嗽、焦虑和抑郁。指数作者已经将两个FACT项目合并为一项，用于描述恶心和/或食欲丧失，最终形成了7个领域。方法。本研究目的在于在确认性因子分析（CFA）框架中进行测量不变性测试，以支持在非基于偏好的心理测量应用中使用FACT-LUI的可行性。原始指数患者构成第1组，另一项发表研究中的相似FACT患者数据（n = 249）构成第2组。评估了一个2因子模型和两个1因子CFA模型，以评估不同群体之间的测量不变性，所有的模型都可以通过文献证明地合理适用于使用少量数据划分和一些残差协方差。结果。1因子模型效果最佳。一个带有1对数据划分的1因子模型在组间部分标量水平上显示了不变性，满足通常的拟合标准，需要2个非约束截距。一个带有3对合理数据划分的1因子模型在组间显示了完全的构型、度量和标量不变性。结论。FACT-LUI项目符合部分到完全不变一因子模型，表明在非基于偏好的应用中可行。影响。结果显示，FACT-LUI项目不仅最初设计用于作为效用指数，而且七个FACT-LUI项目作为一个组合也符合简单的CFA和测量不变性模型。这个意外的结果表明，这些项目作为一个组合在非基于偏好的应用中也是潜在有用的。临床试验可能涉及一些挑战性决策，关于是否包含患者报告的结果评估措施，以及不给患者增加太多负担。然而，文献表明，特别是肺癌和其他癌症的生活质量需要更好的报告。包含更多疾病特异性项目，例如FACT-LUI，可能会减轻患者的负担，同时获取基于偏好和非基于偏好的数据，类似于对一些通用工具的做法。© 作者（们）2023。

Background. A portion of the Functional Assessment of Cancer Therapy-Lung (FACT-L) instrument contributed to a previously published utility index, the FACT Lung Utility Index or FACT-LUI. Six FACT items representing lung cancer quality of life covered fatigue, pain, dyspnea, cough, anxiety, and depression. Two FACT items had been previously combined by the index authors into one for nausea and/or appetite loss, resulting in 7 final domains. Methods. The objective was to perform measurement invariance testing within a confirmatory factor analysis (CFA) framework to support the feasibility of using the FACT-LUI for non-preference-based psychometric applications. The original index patients comprised group 1, and similar FACT patient data (n = 249) from another published study comprised group 2. One 2-factor model and two 1-factor CFA models were evaluated to assess measurement invariance across groups, using varying degrees of item parceling and a small number of residual covariances, all justified by the literature. Results. The 1-factor models were most optimal. A 1-factor model with 1 pair of items parceled showed invariance to the partial scalar level using usual fit criteria across groups, requiring 2 unconstrained intercepts. A 1-factor model with 3 pairs of justified parcels showed full configural, metric, and scalar invariance across groups. Conclusions. The FACT-LUI items fit a partially to fully invariant 1-factor model, suggesting feasibility for non-preference-based applications. Implications. Results suggest useful incorporation of the FACT-LUI into clinical trials with no substantial increased respondent burden, allowing preference-based and other psychometric applications from the same index items.This work suggests that in addition to being originally designed for use as a utility index, the 7 FACT-LUI items together also fit simple CFA and measurement invariance models. This less expected result indicates that these items as a group are also potentially useful in non-preference-based applications.Clinical trials can make for challenging decisions concerning which patient-reported outcome measures to include without being burdensome. However, the literature suggests a need for improved reporting of quality of life in lung cancer in particular as well as cancer in general. Inclusion of more disease-specific items such as the FACT-LUI may allow for information gathering of both preference-based and non-preference-based data with less demand on patients, similar to what has been done with some generic instruments.© The Author(s) 2023.