School of Population Health and Environmental Sciences, Faculty of Life Sciences and Medicine King's College, London, UK; National Institute for Health Research (NIHR) Biomedical Research Centre, Guy's and St Thomas' NHS Foundation Trust, London, UK; National Institute for Health Research (NIHR) Collaboration for Leadership in Applied Health Research and Care (CLAHRC) South London at King's College Hospital NHS Foundation Trust, UK.
Blizard Institute. Centre for Primary Care and Public Health, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, UK.
J Affect Disord. 2018 Mar 1;228:33-40. doi: 10.1016/j.jad.2017.11.037. Epub 2017 Nov 28.
Variations have been reported in the number of underlying constructs and choice of thresholds that determine caseness of anxiety and /or depression using the Hospital Anxiety and Depression scale (HADS). This study examined the properties of each item of HADS as perceived by stroke patients, and assessed the information these items convey about anxiety and depression between 3 months to 5 years after stroke.
The study included 1443 stroke patients from the South London Stroke Register (SLSR). The dimensionality of HADS was examined using factor analysis methods, and items' properties up to 5 years after stroke were tested using Item Response Theory (IRT) methods, including graded response models (GRMs).
The presence of two dimensions of HADS (anxiety and depression) for stroke patients was confirmed. Items that accurately inferred about the severity of anxiety and depression, and offered good discrimination of caseness were identified as "I can laugh and see the funny side of things" (Q4) and "I get sudden feelings of panic" (Q13), discrimination 2.44 (se = 0.26), and 3.34 (se = 0.35), respectively. Items that shared properties, hence replicate inference were: "I get a sort of frightened feeling as if something awful is about to happen" (Q3), "I get a sort of frightened feeling like butterflies in my stomach" (Q6), and "Worrying thoughts go through my mind" (Q9). Item properties were maintained over time.
Approximately 20% of patients were lost to follow up.
A more concise selection of items based on their properties, would provide a precise approach for screening patients and for an optimal allocation of patients into clinical trials.
使用医院焦虑抑郁量表(HADS)确定焦虑和/或抑郁的病例时,报告了潜在结构数量和选择阈值的变化。本研究检查了中风患者对 HADS 每个项目的看法,并评估了这些项目在中风后 3 个月至 5 年内对焦虑和抑郁的信息传递情况。
该研究纳入了来自南伦敦中风登记处(SLSR)的 1443 名中风患者。使用因子分析方法检查 HADS 的维度,使用项目反应理论(IRT)方法(包括等级反应模型(GRM))测试中风后 5 年内项目的特性。
确认了中风患者 HADS 的两个维度(焦虑和抑郁)的存在。准确推断焦虑和抑郁严重程度并提供良好的病例区分的项目被确定为“我可以笑并看到事情有趣的一面”(Q4)和“我突然感到恐慌”(Q13),区分度分别为 2.44(se = 0.26)和 3.34(se = 0.35)。具有共同特性的项目,因此可以复制推断,包括:“我有一种可怕的感觉,好像有可怕的事情要发生”(Q3),“我有一种像胃里有蝴蝶的可怕感觉”(Q6),和“忧虑的想法在我脑海中闪过”(Q9)。项目特性随时间保持不变。
约有 20%的患者失访。
根据其特性更精简地选择项目,将为筛选患者和优化患者分配到临床试验提供一种精确的方法。