适应性
心理健康
持续性
环境资源管理
全球心理健康
公共关系
业务
数据科学
计算机科学
一致性(知识库)
风险分析(工程)
适应(眼睛)
心理学
政治学
经济
人工智能
管理
心理治疗师
生物
生态学
神经科学
作者
Karolin Rose Krause,Sophie Chung,Maria da Luz Sousa Fialho,Péter Szatmári,Miranda Wolpert
标识
DOI:10.1016/s2215-0366(21)00122-x
摘要
Summary Mental health research grapples with research waste and stunted field progression caused by inconsistent outcome measurement across studies and clinical settings, which means there is no common language for considering findings. Although recognising that no gold standard measures exist and that all existing measures are flawed in one way or another, anxiety and depression research is spearheading a common metrics movement to harmonise measurement, with several initiatives over the past 5 years recommending the consistent use of specific scales to allow read-across of measurements between studies. For this approach to flourish, however, common metrics must be acceptable and adaptable to a range of contexts and populations, and global access should be as easy and affordable as possible, including in low-income countries. Within a measurement landscape dominated by fixed proprietary measures and with competing views of what should be measured, achieving this goal poses a range of challenges. In this Personal View, we consider tensions between affordability, sustainability, consistency, and adaptability that, if not addressed, risk undermining the common metrics agenda. We outline a three-pronged way forward that involves funders taking more direct responsibility for measure development and dissemination; a move towards managing measure dissemination and adaptation via open-access measure hubs; and transitioning from fixed questionnaires to item banks. We argue that now is the time to start thinking of mental health metrics as 21st century tools to be co-owned and co-created by the mental health community, with support from dedicated infrastructure, coordinating bodies, and funders.
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