Enright Kaitlyn M, Sampalis John S, Andriessen Anneke, Nikolis Andreas
Erevna Innovations Inc, Clinical Research Unit, Westmount, QC, Canada.
Klynical Consulting & Services, Montreal, QC, Canada.
Plast Surg (Oakv). 2024 May 13:22925503241249757. doi: 10.1177/22925503241249757.
Research in aesthetic medicine commonly includes evaluations of subject satisfaction with treatment results. However, conventional analytic methods typically generate statistically imprecise ordinal scores. To overcome this limitation, researchers have begun employing the Rasch model, an analytical framework grounded in item response theory. The Rasch model permits scale modifications capable of enhancing measurement accuracy. This study focuses on using the Rasch model to evaluate a scale measuring subject satisfaction following aesthetic treatments to the jawline. To develop and validate a multiitem, self-administered questionnaire measuring patient satisfaction with aesthetic treatment of the jawline. A 10-item questionnaire [The Jawline Subject Satisfaction Scale (JS)] was devised to measure subject satisfaction following aesthetic treatments of the jawline. Each question was responded to using a 5-point Likert scale, with response selections ranging from "very much satisfied" to "very much dissatisfied" or "strongly agree" to "strongly disagree." The scale's psychometric properties (reliability and separation for items and persons, item and person fit statistics, and unidimensionality and local independence) were validated using a Rasch model based on a dataset collected from a sample of forty subjects. The results of the Rasch analysis revealed high internal consistency of the JS, with a person reliability estimate of 0.86 and an item reliability estimate of 0.96. The separation estimates for persons and items were 2.50 and 4.72, respectively, demonstrating the scale's ability to differentiate between high and low responders and validating the instrument's construct. All infit and outfit values fell within the established range (0.5-1.5), and the data fit the model of unidimensionality and local independence. Raw score transformations into logits were conducted, which were then converted to Rasch measurements. These measurements are available for use in practice for conducting standard statistical analyses evaluating treatment and/or group effects. The application of the Rasch model produced a valid and reliable scale (ie, JS) for measuring satisfaction with the appearance of the jawline following aesthetic treatments.
美容医学研究通常包括对受试者对治疗效果的满意度评估。然而，传统的分析方法通常会产生统计上不精确的有序分数。为了克服这一局限性，研究人员开始采用基于项目反应理论的分析框架——拉施模型。拉施模型允许进行量表修改，从而提高测量准确性。本研究重点在于使用拉施模型来评估一个测量受试者对下颌轮廓美容治疗后满意度的量表。开发并验证一份多项目、自我管理的问卷，以测量患者对下颌轮廓美容治疗的满意度。设计了一份10项问卷[下颌轮廓受试者满意度量表（JS）]，用于测量下颌轮廓美容治疗后的受试者满意度。每个问题采用5点李克特量表作答，回答选项从“非常满意”到“非常不满意”或“强烈同意”到“强烈不同意”。使用基于从40名受试者样本收集的数据集中的拉施模型，验证了该量表的心理测量特性（项目和人员的信度与区分度、项目与人员拟合统计以及单维性和局部独立性）。拉施分析结果显示JS具有较高的内部一致性，人员信度估计值为0.86，项目信度估计值为0.96。人员和项目的区分度估计值分别为2.50和4.72，表明该量表能够区分高分和低分应答者，并验证了该工具的结构效度。所有内拟合和外拟合值均落在既定范围内（0.5 - 1.5），数据符合单维性和局部独立性模型。对原始分数进行了对数转换，然后转换为拉施测量值。这些测量值可用于实际操作中进行评估治疗和/或组效应的标准统计分析。拉施模型的应用产生了一个有效且可靠的量表（即JS），用于测量美容治疗后对下颌轮廓外观的满意度。
