Shi Hongqiang, Ren Yu, Xian Junding, Ding Haifeng, Liu Yuxi, Wan Chonghua
The First Dongguan Affiliated Hospital of Guangdong Medical University, Dongguan, China.
School of Humanities and Management, Key Laboratory for Quality of Life and Psychological assessment and Intervention, Guangdong Medical University, Dongguan, China.
Ann Gen Psychiatry. 2024 May 10;23(1):19. doi: 10.1186/s12991-024-00504-2.
Anxiety disorders can cause serious physical and psychological damage, so many anxiety scales have been developed internationally to measure anxiety disorders, but due to the cultural differences and cultural dependence of quality of life between Chinese and Western cultures, it is difficult to reflect the main characteristics of Chinese patients. Therefore, we developed a scale suitable for Chinese patients with anxiety disorders: the Anxiety Disorders Scale of the Quality of Life Instruments for Chronic Diseases (QLICD-AD), hoping to achieve satisfactory QOL assessments for anxiety disorders.
Items from the Anxiety Disorders Scale of the Quality of Life in Chronic Disease Instrument QLICD-AD system were analyzed using CTT and IRT to lay the groundwork for further refinement of the scale to accurately measure anxiety disorders.
120 patients with anxiety disorder were assessed using the QLICD-AD (V2.0). Descriptive statistics, variability method, correlation coefficient method, factor analysis and Cronbach's coefficient of CTT, and graded response model (GRM) of item response theory were used to analyze the items of the scale.
CTT analysis showed that the standard deviation of each item was between 0.928 and 1.466; Pearson correlation coefficients of item-to-domain were generally greater than 0.5 and also greater than that of item-to-other domain; the Cronbach 's of the total scale was 0.931, α of each domain was between 0.706 and 0.865. IRT analysis showed that the discrimination was between 1.14 and 1.44. The difficulty parameter of all items increased with the increase of grade. But some items (GPH6,GPH8,GPS3,GSO2-GSO4,AD2,AD5) difficulty parameters were less than 4 or greater than 4. The average of information amount was between 0.022 and 0.910.
Based on CTT and IRT analysis, most items of the QLICD-AD (V2.0) scale have good performance and good differentiation, but a few items still need further revision. Suggests that the QLICD-AD (V2.0) appears to be a valid measure of anxiety disorders. It may effectively improve the diagnosticity of anxiety disorders, but due to the limitations of the current sample, further validation is needed in a broader population extrapolation trial.
焦虑症会造成严重的身心损害，因此国际上已开发出许多焦虑量表来测量焦虑症，但由于中西方文化在生活质量方面存在文化差异和文化依赖性，这些量表难以反映中国患者的主要特征。因此，我们开发了一种适用于中国焦虑症患者的量表：慢性病患者生活质量量表焦虑症模块（QLICD - AD），希望能对焦虑症患者的生活质量进行令人满意的评估。
运用经典测验理论（CTT）和项目反应理论（IRT）对慢性病患者生活质量量表焦虑症模块（QLICD - AD）系统中的条目进行分析，为进一步完善该量表以准确测量焦虑症奠定基础。
采用QLICD - AD（V2.0）对120例焦虑症患者进行评估。运用描述性统计、变异系数法、相关系数法、因素分析以及CTT的克朗巴哈系数，还有项目反应理论的等级反应模型（GRM）对量表条目进行分析。
CTT分析显示，各条目的标准差在0.928至1.466之间；条目与领域的皮尔逊相关系数普遍大于0.5，且大于条目与其他领域的相关系数；总量表的克朗巴哈系数为0.931，各领域的α系数在0.706至0.865之间。IRT分析显示，区分度在1.14至1.44之间。所有条目的难度参数随等级增加而增大。但部分条目（GPH6、GPH8、GPS3、GSO2 - GSO4、AD2、AD5）的难度参数小于4或大于4。信息量平均值在0.022至0.910之间。
基于CTT和IRT分析，QLICD - AD（V2.0）量表的多数条目表现良好且具有良好的区分度，但仍有少数条目需要进一步修订。表明QLICD - AD（V2.0）似乎是一种有效的焦虑症测量工具。它可能有效提高焦虑症的诊断性，但由于当前样本的局限性，需要在更广泛的人群外推试验中进行进一步验证。
