Division of General Internal Medicine and Health Services Research, UCLA Department of Medicine, Los Angeles, California.
RAND Corporation, Behavioral and Policy Sciences, Santa Monica, California.
J Pain. 2022 Nov;23(11):1904-1911. doi: 10.1016/j.jpain.2022.06.006. Epub 2022 Jun 26.
It is challenging to synthesize findings across studies of pain impact. This study develops a link to estimate the Patient-Reported Outcomes Measurement Information System (PROMIS) global health measure from the 3-item Pain intensity, interference with Enjoyment of life, interference with General activity (PEG) scale. The PROMIS and PEG items were administered to 795 adults (average age = 51; 54% female, 79% White). We estimated correlations among the PEG and PROMIS items and conducted factor analysis to identify the best subset of PROMIS items for linking to the PEG. An item response theory graded response model was estimated to link the PEG with the 4-item PROMIS global physical health scale. A categorical single-factor model and a bifactor model provided support for a single dimension for the PEG and PROMIS global physical health items. The product-moment correlation between estimated PROMIS global physical health scale from the PEG and the actual global physical health score was .74. The mean difference between estimated PROMIS global physical health scale score from the PEG and the observed global physical health score was less than a T-score point. This study makes it possible to estimate the average global physical health for group-level comparisons in research that includes the PEG. PERSPECTIVE: This article describes an empirical link of the PEG to the PROMIS global physical health scale that makes it possible to estimate the average global physical health in studies that include the PEG. This link can facilitate comparisons among studies that have not administered the PEG or the PROMIS global health scale.
综合多项疼痛影响研究结果具有一定挑战性。本研究建立了一种联系，可根据 3 项疼痛强度、对生活享受的干扰、对一般活动的干扰（PEG）量表来估计患者报告结局测量信息系统（PROMIS）总体健康测量值。PROMIS 和 PEG 项目在 795 名成年人（平均年龄 51 岁；54%为女性，79%为白人）中进行了评估。我们估计了 PEG 和 PROMIS 项目之间的相关性，并进行了因素分析，以确定与 PEG 联系的最佳 PROMIS 项目子集。我们还估计了一个项目反应理论分级反应模型，以将 PEG 与 4 项 PROMIS 总体身体健康量表联系起来。类别单因素模型和双因素模型都为 PEG 和 PROMIS 总体身体健康项目提供了单一维度的支持。通过 PEG 估计的 PROMIS 总体身体健康量表与实际总体身体健康评分之间的积差相关系数为 0.74。通过 PEG 估计的 PROMIS 总体身体健康量表评分与观察到的总体身体健康评分之间的平均差异小于一个 T 分数点。本研究使得在包含 PEG 的研究中对群体水平进行平均总体身体健康比较成为可能。观点：本文描述了 PEG 与 PROMIS 总体身体健康量表的实证联系，这使得在包含 PEG 的研究中能够估计平均总体身体健康。这种联系可以促进未进行 PEG 或 PROMIS 总体健康量表评估的研究之间的比较。
