通过数据、可及性和人工智能加强研究的青少年心理健康公共数据集目录:范围审查。

IF 5.8 2区 医学 Q1 PSYCHIATRY
Jmir Mental Health Pub Date : 2025-09-08 DOI:10.2196/73852
Hua Min, Xia Jing, Cui Tao, Joel E Williams, Sarah F Griffin, Christianne Esposito-Smythers, Bruce Chorpita
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引用次数: 0

摘要

背景:近年来,青少年心理健康问题已被认为是美国迫在眉睫的危机。有效的、以证据为基础的精神卫生研究和干预措施需要获得整合各种分散数据源的综合数据集。然而,由于缺乏集中的、公开的数据集,研究人员面临着挑战,限制了全面分析和数据驱动决策的潜力。目的:本文介绍了一个关于青少年心理健康(18岁以下)的公开数据集的策划目录。该目录旨在作为关键基础设施,加强研究,为决策提供信息,并支持人工智能和机器学习在青年心理健康研究中的应用。方法:与系统综述不同,本文提供了开放数据资源的简要概述,解决了青少年心理健康研究中碎片化健康数据的挑战。我们使用3种方法进行了结构化搜索:在知名的卫生组织网站上进行有针对性的搜索(例如,美国国立卫生研究院(NIH)和疾病控制与预防中心(CDC)),向图书管理员咨询以确定难以找到的数据集,以及从先前的研究中获得专家知识。确定的数据集以关键细节进行整理,包括名称、描述、组成、格式、访问信息和研究类型,重点是可免费获得的资源。结果:编制了一份关于青少年心理健康和学校政策的公开数据集的策划清单。虽然不是详尽无遗,但它突出了与青少年心理健康研究有关的关键资源。我们的发现确定了由NIH、CDC、药物滥用和心理健康服务管理局(SAMHSA)和美国人口普查局等组织进行的主要全国性调查系列,这些组织关注青少年心理健康和药物使用。此外,我们还包括州和学校卫生政策的数据,提供不同的范围和粒度。有价值的健康数据存储库,如ICPSR、data.gov、Healthdata.gov、data. cdc .gov、OpenFDA和data. cms .gov托管广泛的研究数据,包括调查、纵向研究和个人研究项目。结论:可公开获取的健康数据对于改善青少年心理健康结果至关重要。收集和集中这些资源可以简化获取途径,增强研究影响,并为干预措施和政策提供信息。通过改进数据整合和可获取性,它鼓励跨学科合作并支持基于证据的干预措施。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Directory of Public Datasets for Youth Mental Health to Enhance Research Through Data, Accessibility, and Artificial Intelligence: Scoping Review.

Directory of Public Datasets for Youth Mental Health to Enhance Research Through Data, Accessibility, and Artificial Intelligence: Scoping Review.

Directory of Public Datasets for Youth Mental Health to Enhance Research Through Data, Accessibility, and Artificial Intelligence: Scoping Review.

Background: Youth mental health issues have been recognized as a pressing crisis in the United States in recent years. Effective, evidence-based mental health research and interventions require access to integrated datasets that consolidate diverse and fragmented data sources. However, researchers face challenges due to the lack of centralized, publicly available datasets, limiting the potential for comprehensive analysis and data-driven decision-making.

Objective: This paper introduces a curated directory of publicly available datasets focused on youth mental health (less than 18 years old). The directory is designed to serve as critical infrastructure to enhance research, inform policymaking, and support the application of artificial intelligence and machine learning in youth mental health research.

Methods: Unlike a systematic review, this paper offers a brief overview of open data resources, addressing the challenges of fragmented health data in youth mental health research. We conducted a structured search using 3 approaches: targeted searches on reputable health organization websites (eg, National Institutes of Health [NIH] and Centers for Disease Control and Prevention [CDC]), librarian consultation to identify hard-to-find datasets, and expert knowledge from prior research. Identified datasets were curated with key details, including name, description, components, format, access information, and study type, with a focus on freely available resources.

Results: A curated list of publicly available datasets on youth mental health and school policies was compiled. While not exhaustive, it highlights key resources relevant to youth mental health research. Our findings identify major national survey series conducted by organizations such as the NIH, CDC, Substance Abuse and Mental Health Services Administration (SAMHSA), and the U.S. Census Bureau, which focus on youth mental health and substance use. In addition, we include data on state and school health policies, offering varying scopes and granularities. Valuable health data repositories such as ICPSR, Data.gov, Healthdata.gov, Data.CDC.gov, OpenFDA, and Data.CMS.gov host a wide range of research data, including surveys, longitudinal studies, and individual research projects.

Conclusions: Publicly accessible health data are essential for improving youth mental health outcomes. Compiling and centralizing these resources streamlines access, enhances research impact, and informs interventions and policies. By improving data integration and accessibility, it encourages interdisciplinary collaboration and supports evidence-based interventions.

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来源期刊
Jmir Mental Health
Jmir Mental Health Medicine-Psychiatry and Mental Health
CiteScore
10.80
自引率
3.80%
发文量
104
审稿时长
16 weeks
期刊介绍: JMIR Mental Health (JMH, ISSN 2368-7959) is a PubMed-indexed, peer-reviewed sister journal of JMIR, the leading eHealth journal (Impact Factor 2016: 5.175). JMIR Mental Health focusses on digital health and Internet interventions, technologies and electronic innovations (software and hardware) for mental health, addictions, online counselling and behaviour change. This includes formative evaluation and system descriptions, theoretical papers, review papers, viewpoint/vision papers, and rigorous evaluations.
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