Division of Cardiac Prevention and Rehabilitation, University of Ottawa Heart Institute, Ottawa, Ontario, Canada (Mr Lemay and Drs Tulloch, Pipe, and Reed); Department of Psychology, Carleton University, Ottawa, Ontario, Canada (Mr Lemay and Dr Pipe); and Faculty of Medicine (Dr Tulloch) and Faculty of Health Sciences (Dr Reed), University of Ottawa, Ottawa, Ontario, Canada.
J Cardiopulm Rehabil Prev. 2019 Nov;39(6):E6-E11. doi: 10.1097/HCR.0000000000000379.
PURPOSE: The Hospital Anxiety and Depression Scale (HADS) is frequently used by clinicians to assess anxiety and depression in patients with cardiovascular disease; yet, its minimal clinically important difference (MCID) has not been established. The purpose of this study was to establish an MCID for the HADS in patients with cardiovascular disease. METHODS: A sample of 591 patients (74% male; ethnicity = 89% white; mean ± standard deviation [SD]: age = 63 ± 10 yr; and body mass index = 29.1 ± 5.6 kg/m) with cardiovascular disease enrolled in a 3-mo cardiac rehabilitation program were included in this study. The MCID for the HADS was estimated using distribution-based methods (ie, standard deviation, effect size, standard error of measurement, and minimal detectable change), anchor-based methods (ie, health transition question, correlation and linear regression, and receiver operating characteristic curve), and Delphi methodology (ie, clinical consensus). RESULTS: A total of 18 MCID values were calculated ranging from 0.81 to 5.21 (Anxiety subscale) and 0.5 to 5.57 (Depression subscale). The final MCID for the HADS, triangulated from the distribution-based, anchor-based, and Delphi-based findings, was 1.7 points. CONCLUSIONS: Our work provides the first estimates of an MCID by triangulating multiple methodologies for the HADS in patients with cardiovascular disease. This MCID may serve as an indicator of treatment success for clinicians and researchers and guide future interventions to improve the mental health of patients with cardiovascular disease.
目的:医院焦虑抑郁量表(HADS)常用于临床医生评估心血管疾病患者的焦虑和抑郁;然而,其最小临床重要差异(MCID)尚未确定。本研究旨在确定心血管疾病患者 HADS 的 MCID。
方法:本研究纳入了参加为期 3 个月心脏康复计划的 591 名心血管疾病患者(74%为男性;种族为 89%为白人;平均±标准差[SD]:年龄为 63±10 岁;体重指数为 29.1±5.6kg/m²)。使用基于分布的方法(即标准差、效应大小、测量误差标准和最小可检测变化)、基于锚的方法(即健康转变问题、相关和线性回归以及接收者操作特征曲线)和 Delphi 方法(即临床共识)来估计 HADS 的 MCID。
结果:共计算了 18 个 MCID 值,范围从 0.81 到 5.21(焦虑分量表)和 0.5 到 5.57(抑郁分量表)。基于分布、基于锚和基于 Delphi 的发现的最终 HADS MCID 为 1.7 分。
结论:我们的工作通过对心血管疾病患者的 HADS 进行多种方法的三角测量,提供了第一个 MCID 估计值。该 MCID 可作为临床医生和研究人员治疗成功的指标,并指导未来改善心血管疾病患者心理健康的干预措施。
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