Cathrine Mihalopoulos, BBSc(Hons), GDEcSt, PGDHthEc, PhD, Deakin Health Economics, Deakin University, Burwood, Victoria; Gang Chen, BMed, MSc, PhD, Flinders Health Economics Group, School of Medicine, Flinders University, Repatriation General Hospital, Daw Park, South Australia; Angelo Iezzi, BE (civil), MSc, Munir A. Khan, BA(Hons), MSc, MA, PhD, Jeffrey Richardson, BA(Hons), PhD, Centre for Health Economics, Faculty of Business and Economics, Monash University, Victoria, Australia.
Br J Psychiatry. 2014 Nov;205(5):390-7. doi: 10.1192/bjp.bp.113.136036. Epub 2014 Sep 25.
Many mental health surveys and clinical studies do not include a multi-attribute utility instrument (MAUI) that produces quality-adjusted life-years (QALYs). There is also some question about the sensitivity of the existing utility instruments to mental health.
To compare the sensitivity of five commonly used MAUIs (Assessment of Quality of Life - Eight Dimension Scale (AQoL-8D), EuroQoL-five dimension (EQ-5D-5L), Short Form 6D (SF-6D), Health Utilities Index Mark 3 (HUI3), 15D) with that of disease-specific depression outcome measures (Depression Anxiety Stress Scales (DASS-21) and the Kessler Psychological Distress Scale (K10)) and develop 'crosswalk' transformation algorithms between the measures.
Individual data from 917 people with self-report depression collected as part of the International Multi-Instrument Comparison Survey.
All the MAUIs discriminated between the levels of severity measured by the K10 and the DASS-21. The AQoL-8D had the highest correlation with the disease-specific measures and the best goodness-of-fit transformation properties.
The algorithms developed in this study can be used to determine cost-effectiveness of services or interventions where utility measures are not collected.
许多心理健康调查和临床研究都没有包含多属性效用工具(MAUI),无法生成质量调整生命年(QALYs)。此外,现有的效用工具对心理健康的敏感性也存在一些问题。
比较五种常用 MAUI(生活质量评估-八维度量表(AQoL-8D)、欧洲五维健康量表(EQ-5D-5L)、简短 6 维度量表(SF-6D)、健康效用指数标记 3 型(HUI3)和 15D)与特定疾病的抑郁结局测量工具(抑郁焦虑应激量表(DASS-21)和凯斯勒心理困扰量表(K10))的敏感性,并开发这些测量工具之间的“交叉转换”算法。
个体数据来自作为国际多仪器比较调查一部分的 917 名自我报告患有抑郁症的人。
所有 MAUI 都能区分 K10 和 DASS-21 所测量的严重程度水平。AQoL-8D 与疾病特异性测量工具相关性最高,且转换属性最佳。
本研究中开发的算法可用于确定未收集效用测量值的服务或干预措施的成本效益。