The challenge of ensuring affordability, sustainability, consistency, and adaptability in the common metrics agenda

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
出处
期刊:The Lancet Psychiatry [Elsevier BV]
卷期号:8 (12): 1094-1102 被引量:17
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.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
刚刚
刚刚
1秒前
1秒前
研友_惊鸿发布了新的文献求助10
1秒前
墨懿发布了新的文献求助10
1秒前
彭于晏应助einspringen采纳,获得10
3秒前
行萱完成签到 ,获得积分10
3秒前
Shohan完成签到 ,获得积分10
4秒前
礼赞_完成签到,获得积分10
4秒前
7秒前
7秒前
7秒前
Lichen发布了新的文献求助10
7秒前
7秒前
8秒前
高挑的荆完成签到,获得积分10
8秒前
8秒前
winjay发布了新的文献求助10
8秒前
9秒前
10秒前
思源应助cccc采纳,获得30
10秒前
悦耳白山发布了新的文献求助10
11秒前
einspringen发布了新的文献求助10
11秒前
科研通AI6.4应助Coke采纳,获得10
11秒前
Tree_QD发布了新的文献求助10
12秒前
13秒前
yuqinghui98发布了新的文献求助10
15秒前
忧虑的代容完成签到,获得积分10
16秒前
悦耳白山发布了新的文献求助10
16秒前
16秒前
卡卡完成签到,获得积分10
16秒前
不太热完成签到,获得积分10
17秒前
大意的雨双完成签到 ,获得积分10
17秒前
Owen应助allofme采纳,获得10
17秒前
cccc完成签到,获得积分10
18秒前
18秒前
chifan完成签到 ,获得积分10
19秒前
笑笑完成签到 ,获得积分10
19秒前
genesquared发布了新的文献求助10
20秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Encyclopedia of Cardiovascular Research and Medicine(2e) 820
自動車の空力技術 800
Essentials of Carbohydrate Chemistry and Biochemistry, 4th Edition 800
Organizational Behavior 510
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 计算机科学 化学工程 工程类 有机化学 物理 复合材料 生物化学 内科学 细胞生物学 基因 遗传学 免疫学 冶金 光电子学 癌症研究
热门帖子
关注 科研通微信公众号,转发送积分 7779744
求助须知:如何正确求助?哪些是违规求助? 9319987
关于积分的说明 20374528
捐赠科研通 7367292
什么是DOI,文献DOI怎么找? 3319559
关于科研通互助平台的介绍 2467501
邀请新用户注册赠送积分活动 2335282