School of Public Health, Southern Medical University, Guangzhou, Guangdong, People's Republic of China; Guangdong Mental Health Center, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, Guangdong, People's Republic of China.
Guangdong Mental Health Center, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, Guangdong, People's Republic of China.
J Affect Disord. 2022 Aug 15;311:327-335. doi: 10.1016/j.jad.2022.05.079. Epub 2022 May 19.
The present study aimed to equate the 9-item Patient Health Questionnaire (PHQ-9) and 7-item Generalized Anxiety Disorder Scale (GAD-7) to the Hospital Anxiety and Depression Scale (HADS) depression and anxiety subscales (HADS-D,HADS-A) respectively in patients with major depressive disorder (MDD) and generate crosswalks of raw scores.
As it is a single group design that adopts common-person equating method, a total of 460 patients with MDD completed the PHQ-9, GAD-7 and HADS at the same time. Rasch analysis was used to filter out invalid participants, investigate the psychometric properties of test items and participants, link the PHQ-9 and HADS-D as well as GAD-7 and HADS-A, and produce conversion tables respectively. The differences between original scores and converted scores were analyzed to validate the crosswalks.
401 samples of depression part and 396 samples of anxiety part were left for final samples. Both the PHQ-9 / HADS-D and GAD-7 / HADS-A combined analysis adequately fit the unidimensional Rasch model, demonstrated acceptable reliability and item-person targeting and showed no disordering category. Slight differential item functioning across gender was found in item PHQ9 and item GAD6. The crosswalks were generated and verified to be validity.
The results might be restricted to patients with MDD recruited in a single mental health center.
The PHQ-9, GAD-7 and HADS depression and anxiety subscales were successfully linked, producing conversion tables that could be used for directly converting raw score from one instrument to the other.
本研究旨在分别将 9 项患者健康问卷(PHQ-9)和 7 项广泛性焦虑症量表(GAD-7)与医院焦虑抑郁量表(HADS)的抑郁和焦虑分量表(HADS-D,HADS-A)相匹配,并生成原始分数的转换表。
由于这是一个采用共同个体匹配方法的单组设计,共有 460 名 MDD 患者同时完成了 PHQ-9、GAD-7 和 HADS。Rasch 分析用于筛选无效参与者,调查测试项目和参与者的心理测量特性,将 PHQ-9 与 HADS-D 以及 GAD-7 与 HADS-A 相联系,并分别生成转换表。分析原始分数和转换分数之间的差异,以验证转换表的有效性。
留下了 401 个抑郁部分的原始样本和 396 个焦虑部分的原始样本用于最终样本。PHQ-9/HADS-D 和 GAD-7/HADS-A 联合分析都充分符合单维 Rasch 模型,显示出可接受的可靠性和项目-个体针对性,且不存在分类紊乱。在项目 PHQ9 和项目 GAD6 中发现了轻微的性别差异的项目功能失调。生成并验证了转换表的有效性。
结果可能仅限于在单一心理健康中心招募的 MDD 患者。
PHQ-9、GAD-7 和 HADS 的抑郁和焦虑分量表成功地相匹配,生成了转换表,可以用于直接将一个工具的原始分数转换为另一个工具的原始分数。