Training in Advanced Data Analytics to End Drug-Related Harms (TADA)

消除毒品相关危害的高级数据分析培训 (TADA)

• 批准号: 10618208
• 负责人: Hannah LF Cooper
• 金额: $ 26.9万
• 依托单位: EMORY UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-07-01 至 2025-06-30
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10618208
• 关键词: Data Analytics; Pharmaceutical Preparations; Training

Abstract: Collins and Riley, Directors of NIH and of NIH’s Office of Behavioral and Social Science Research, have described the 21st century data revolution as potentially “transformative” for social and behavioral science (SBS) research. Evolutionary leaps in technology have generated vast arrays of novel sources of Big Data: in 2018, for example, 500 million microblogs were tweeted daily, and 2.48 billion users engaged with Facebook. The data revolution has also catalyzed massive growth in administrative data, as governments and other entities digitize their data (e.g., the CDC has data on billions of prescriptions dispensed in the US). Constella- tions of tweets, posts, and administrative data provide “transformative” opportunities for SBS researchers to swiftly identify threats to health; characterize-more comprehensively than ever before, and often in real time- the conditions in which people thrive, suffer, and die; and develop novel interventions. Nowhere are such transformations more direly needed than to address a 21st century crisis: substance use disorders (SUD). In 2017, HHS declared the opioid crisis a national emergency, as 11.4 million people misused opioid analgesics, and overdoses killed >70,000 people, contributing to a drop in US life expectancy. We are, though, failing to prepare the next generation of SBS researchers to engage these transforma- tive tools. A scan of syllabi from departments of behavioral and social science in 10 top public health schools reveals that required methods courses culminate with multilevel and structural equation models, decades-old methods ill-equipped to leverage emerging data to catalyze transformative approaches to end SUD epidemics. Supported by 45 Emory faculty from 11 departments, the proposed training program (TADA) will prepare a diverse cadre of 21st century SBS researchers to develop transformative approaches to end the SUD crisis. TADA will prepare trainees to ethically, critically, and seamlessly integrate advanced data science methods into the SBS research lifecycle for SUD. Trainees will learn to: (1) Conduct theoretically-informed studies of distributions and ecologies of SUD-related harms using advanced data science methods; (2) Conduct theoretically-informed studies motivating and assessing policies and programmatic interventions that may affect SUD-related harms and services; (3) Disseminate findings to multiple stakeholder communities to strengthen efforts to end SUD-related harms; (4) Critically apply principles of the ethical and responsible conduct of research. TADA will engage trainees in a comprehensive mentoring program; a 2-semester course and lab consisting of 5 “modules,” each of which pairs a specific SBS theory with an advanced data science method; journal clubs; dissertation workshops; $5000 dissertation grants; and research rotations at Emory, the CDC, and the Georgia DPH. We are seeking 5 funded slots across two cohorts, each with 2 years of funding, for pre-doctoral students in 4 programs (Behavioral Science, Health Policy, Sociology’s Health Track, and Clinical Psychology). TADA will extend its reach beyond funded trainees via a TADA Certificate program.

摘要：柯林斯和莱利，NIH 和 NIH 行为与社会科学研究办公室主任， 将 21 世纪的数据革命描述为社会和行为科学的潜在“变革” (SBS) 研究。技术的进步已经产生了大量新颖的大数据来源： 例如，2018 年，每天有 5 亿条微博发布，24.8 亿用户与 Facebook 互动。 数据革命还促进了行政数据的大规模增长，因为政府和其他机构 实体将其数据数字化（例如，疾病预防控制中心拥有美国数十亿处方药的数据）。 推文、帖子和管理数据的分析为 SBS 研究人员提供了“变革性”机会 迅速识别健康威胁；比以往更全面且实时地描述特征； 人们成长、受苦和死亡的条件；并制定新颖的干预措施。 没有什么比解决 21 世纪的危机更迫切需要这样的转变了：实质内容 2017 年，HHS 宣布阿片类药物危机为国家紧急状态，涉及 1,140 万人。 滥用阿片类镇痛药和过量服用导致超过 70,000 人死亡，导致美国人预期寿命下降。 然而，我们未能让下一代 SBS 研究人员做好参与这些变革的准备。 10 所顶级公共卫生学校行为和社会科学系的教学大纲扫描 揭示了所需的方法课程以具有数十年历史的多层次和结构方程模型达到高潮 方法不适合利用新兴数据来催化终结 SUD 流行病的变革方法。 在来自 11 个系的 45 名埃默里大学教员的支持下，拟议的培训计划 (TADA) 将 准备一支由 21 世纪 SBS 研究人员组成的多元化骨干队伍，开发变革性方法来结束 SUD TADA 将为学员做好道德、批判性和无缝整合先进数据科学的准备。 SUD 的 SBS 研究生命周期的方法 学员将学习： (1) 进行理论指导。 (2) 利用先进的数据科学方法研究 SUD 相关危害的分布和生态； 进行理论研究，激励和评估政策和计划干预措施， (3) 将调查结果传播给多个利益相关者社区，以 (4) 严格遵守道德和责任原则 TADA 将让学员参加为期 2 个学期的综合指导课程； 实验室由 5 个“模块”组成，每个模块将特定的 SBS 理论与先进的数据科学配对 方法；论文研讨会；埃默里大学的 5000 美元论文资助； CDC 和佐治亚州 DPH 正在寻求两个组别中的 5 个资助名额，每个资助名额为 2 年， 为博士前学生提供 4 个课程（行为科学、健康政策、社会学健康轨道和 TADA 将通过 TADA 证书计划将其影响范围扩展到受资助的学员之外。

项目成果

Volunteer-Based Social Support Structures and Program Exposure Outcomes in an Adolescent Young Adult Palliative Care Peer Support Program.

青少年姑息治疗同伴支持计划中基于志愿者的社会支持结构和计划暴露结果。

• 发表时间: 2022-08
• 影响因子: 2.8
• 作者: Walker, Andrew L;Marchi, Emily;Puig, Ana;Slayton, William;Dodd, Virginia;McVay, Megan A;Livingston, Melvin D
• 通讯作者: Livingston, Melvin D

How Are Retailers Describing Delta-8 THC?A Mixed-Methods Study in Fort Worth, Texas.

零售商如何描述 Delta-8 THC？德克萨斯州沃思堡的一项混合方法研究。

• 发表时间: 2023-03
• 作者: LoParco, Cassidy R;Olsson, Sofia E;Greene, Kaylin M;Livingston, Melvin Doug;Henry, Doug;Trangenstein, Pamela J;Walker, Andrew;Rossheim, Matthew E
• 通讯作者: Rossheim, Matthew E

A Novel Palliative Care Peer Support Program for Adolescents and Young Adults: Survey and Factor Analytic Study.

针对青少年和年轻人的新型姑息治疗同伴支持计划：调查和因素分析研究。

• 发表时间: 2023-05
• 影响因子: 2.8
• 作者: Walker, Andrew L;Rujimora, James;Swygert, Anna;McNiece, Zachary;Yoon, Eunhui;Machado, Mercedes;Myers, Kenneth;Richardson, Eric;Lenes, Emilie;Hebert, Lindsay;Marchi, Emily;Arthurson;Lagmay, Joanne;Puig, Ana
• 通讯作者: Puig, Ana

Overdoses, Reproductive Justice, and Harm Reduction.

用药过量、生殖正义和减少伤害。

• 发表时间: 2023-09
• 影响因子: 12.7
• 作者: Cooper, Hannah L F;Rice, Whitney;Cummings, Janet;Livingston, Melvin D;Peddireddy, Snigdha;Rogers, Erin;Dunlop, Anne;Kramer, Michael;Hernandez, Natalie D
• 通讯作者: Hernandez, Natalie D

Growth curve modeling of virtual events and online engagement in a palliative care peer support online health community for adolescents and young adults.

青少年和年轻人姑息护理同伴支持在线健康社区中虚拟事件和在线参与的增长曲线建模。

• 发表时间: 2023-02-16
• 作者: Walker, Andrew L;Swygert, Anna;Marchi, Emily;Lebeau, Kelsea;Haardörfer, Regine;Livingston, Melvin D
• 通讯作者: Livingston, Melvin D