Mokkink Lidwine B, Eekhout Iris, Boers Maarten, van der Vleuten Cees P M, de Vet Henrica C W
Amsterdam UMC, Vrije Universiteit Amsterdam, Epidemiology and Data Science, Amsterdam, the Netherlands.
Amsterdam Public Health Research Institute, Amsterdam, the Netherlands.
Patient Relat Outcome Meas. 2023 Jul 7;14:193-212. doi: 10.2147/PROM.S398886. eCollection 2023.
Reliability and measurement error are measurement properties that quantify the influence of specific sources of variation, such as raters, type of machine, or time, on the score of the individual measurement. Several designs can be chosen to assess reliability and measurement error of a measurement. Differences in design are due to specific choices about which sources of variation are varied over the repeated measurements in stable patients, which potential sources of variation are kept stable (ie, restricted), and about whether or not the entire measurement instrument (or measurement protocol) was repeated or only part of it. We explain how these choices determine how intraclass correlation coefficients and standard errors of measurement formulas are built for different designs by using Venn diagrams. Strategies for improving the measurement are explained, and recommendations for reporting the essentials of these studies are described. We hope that this paper will facilitate the understanding and improve the design, analysis, and reporting of future studies on reliability and measurement error of measurements.
可靠性和测量误差是量化特定变异来源（如评估者、机器类型或时间）对个体测量得分影响的测量属性。可以选择几种设计来评估测量的可靠性和测量误差。设计上的差异源于在稳定患者的重复测量中对哪些变异来源进行变化、哪些潜在变异来源保持稳定（即受限）以及整个测量仪器（或测量方案）是全部重复还是仅部分重复的特定选择。我们通过使用维恩图来解释这些选择如何决定针对不同设计构建组内相关系数和测量公式的标准误差。文中解释了改进测量的策略，并描述了报告这些研究要点的建议。我们希望本文将有助于理解并改进未来关于测量可靠性和测量误差研究的设计、分析及报告。
