Mentoring and Patient Oriented Research in Cardiovascular Health and Digital Data Science

心血管健康和数字数据科学领域的指导和以患者为导向的研究

• 批准号: 10678632
• 负责人: Raina Merchant
• 金额: $ 12.3万
• 依托单位: UNIVERSITY OF PENNSYLVANIA
• 依托单位国家: 美国
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-07-01 至 2026-06-30
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10678632
• 关键词: Address; Adult; Affect; Age; American; Area; Attitude; Behavior; Big Data Methods; Blood Pressure; Caliber; Cardiovascular Diseases; Cardiovascular system; Cellular Phone; Cholesterol; Clinical; Clinical Trials; Communication; Communities; Competence; Complement; Complex; Computer Models; Computers; Coupled; Data; Data Science; Data Set; Data Sources; Development; Devices; Diet; Disease; Engineering; Environment; Ethics; Event; Faculty; Foundations; Funding; Future; Gender; Geography; Glucose; Grant; Growth; Health; Health behavior; Human; Income; Individual; Institution; Internet; Intervention; Investigation; Knowledge; Leadership; Life Expectancy; Link; Machine Learning; Measures; Medicine; Mentors; Mentorship; Methodology; Mid-Career Clinical Scientist Award (K24); Mining; Morbidity - disease rate; National Heart, Lung, and Blood Institute; Natural Language Processing; Observational Study; Outcome; Patient Education; Patient Preferences; Patients; Pennsylvania; Phenotype; Physical activity; Population; Privacy; Process; Race; Research; Research Infrastructure; Research Personnel; Research Support; Resources; Safety; Scientist; Security; Smoking; Source; Structure; System; Time; Training; Training Programs; Underrepresented Minority; United States; United States National Institutes of Health; Universities; Weight; Work; burden of illness; cardiovascular disorder risk; cardiovascular health; cardiovascular risk factor; career; career development; clinical application; clinical practice; computer science; data streams; demographics; digital; digital communication; digital health; digital intervention; digital media; digital platform; disorder risk; experience; frontier; human capital; implementation barriers; improved; improved outcome; insight; mortality; next generation; novel; patient oriented; patient oriented research; phenotypic data; precision medicine; programs; recruit; research and development; response; risk prediction; sensor; social media; tool; training opportunity; undergraduate student; uptake

Project Summary/Abstract Cardiovascular associated Advances the sensor exposures. easily analyzing conducting integrate issues focus and who and graduate, objectives workforce.” ability K24 data phenotypes health (CV) disease affects nearly half of all adult Americans. Although achieving “ideal CV health” i s with lower mortality nd morbidity, many individuals struggle with modifying CV health behaviors. in precision medicine offer promise in better targeting these behaviors to improve CV health. Over past decade, there has been exponential growth in digital data (e.g. social media, online search, remote measures) generated by individuals which reflects their health behaviors, attitudes, and environmental These data sources however are often not linked with validated measures, unprocessed, and not interpretable for use in research or clinical practice. My research portfolio has focused on collecting and CV focused digital data for insights, prediction, and clinical applications. My career focus is on high-impact atient-oriented research (POR) t o better understand how to best access, analyze and these data in a way that is patient-centered and highly applied. This includes work which focuses on related to privacy, security, and patient preferences. This K24 award will support protected time for me i ntently on: 1) implementing a research program to advance POR in CV health and digital data science 2) training a pipeline of investigators who are well trained in methodologies for conducting this work and will be future POR leaders i n this area of study. This proposal focuses on necessary steps for developing executing a comprehensive and structured mentorship program that will support mentees (undergraduate, fellow, faculty) for research and career development. This focus aligns with NHLBIs overarching in “data science” and “further developing, diversifying and sustaining a NHLBI focused scientific This proposal builds on my current NHLBI R01, R21, and Foundation grants and will support my to pursue career-oriented training in clinical trials, social media ethics, and academic leadership. This will also support two new areas of research: 1) building computational models using large digital media sets for population-level surveillance of modifiable CV health behaviors in real time, 2) developing patient reflecting use and engagement which can inform digital interventions to address modifiable CV behaviors. a p , The environment for this K24 is the University of Pennsylvania-a world renowned institution with extensive resources to support research at the intersection of medicine, computer science, communication, and engineering—fields critical for advancing this research and supporting interdisciplinary trainees. The areas of focus for this K24 represent new frontiers in precision medicine and digital phenotyping for CV health that can be advanced and led by well-trained interdisciplinary POR researchers.

项目 摘要/摘要 心血管 联系 进步 这 传感器 暴露。 简单的 分析 进行 整合 问题 重点 和 WHO 和 毕业， 目标 劳动力。” 能力 K24 数据 表型 健康 （CV）疾病几乎影响了所有成年美国人的一半。尽管实现了“理想的简历健康” 由于死亡率较低，许多人在修改简历健康行为方面挣扎。 在精确医学中，有望更好地针对这些行为以改善简历健康。超过 过去十年，数字数据呈指数增长（例如社交媒体，在线搜索，远程 措施）由反映其健康行为，参加环境的个人产生 然而 可解释用于研究或临床实践。我的研究组合专注于收集和 CV以洞察力，预测和临床应用的为集中数字数据。我的职业重点是 高影响力的导向研究（POR）更好地了解如何最好地访问，分析和分析 这些数据以患者为中心且高度应用的方式。这包括关注的工作 与隐私，安全性和患者偏好有关。这个K24奖将为我支持受保护的时间 我很开：1）实施一项研究计划，以推进简历健康和数字数据科学的POR 2）培训一组研究人员的管道，这些调查人员接受了经过良好培训的方法，以进行这项工作和 将来是这一研究领域的未来领导者。该建议重点介绍开发的必要步骤 执行一项全面且结构化的指导计划，该计划将支持Mentores（本科生， 研究员研究和职业发展。此重点与NHLBIS的总体一致 在“数据科学”和“进一步发展，多样化和维持NHLBI专注的科学 该建议建立在我当前的NHLBI R01，R21和基金会赠款的基础上，并将支持我的 在临床试验，社交媒体道德和学术领导力中进行以职业为导向的培训。这 还将支持两个新的研究领域：1）使用大型数字媒体建立计算模型 实时对可修改的简历健康行为的人口级监视的集合，2）患者发展 反映使用和参与度，可以告知数字干预以解决可修改的简历 行为。 一个 p， 这个K24的环境是宾夕法尼亚大学 - 世界知名机构 拥有大量资源来支持医学，计算机科学交集的研究， 沟通和工程 - 对于推进这项研究和支持跨学科的领域至关重要 学员。该K24的重点领域代表了精密医学和数字表型的新领域 对于训练有素的跨学科研究人员，可以提高和领导的简历健康。

项目成果

Effect of Posting on Social Media on Systolic Blood Pressure and Management of Hypertension: A Randomized Controlled Trial.

• DOI: 10.1161/jaha.120.020596
• 发表时间: 2021-10-05
• 期刊: Journal of the American Heart Association
• 影响因子: 5.4
• 作者: Mancheno C;Asch DA;Klinger EV;Goldshear JL;Mitra N;Buttenheim AM;Barg FK;Ungar LH;Yang L;Merchant RM
• 通讯作者: Merchant RM

State and Federal Legislators' Responses on Social Media to the Mental Health and Burnout of Health Care Workers Throughout the COVID-19 Pandemic: Natural Language Processing and Sentiment Analysis.

• DOI: 10.2196/38676
• 发表时间: 2023
• 期刊: JMIR INFODEMIOLOGY
• 作者: Abrams, Matthew P.;Pelullo, Arthur P.;Meisel, Zachary F.;Merchant, Raina M.;Purtle, Jonathan;Agarwal, Anish K.
• 通讯作者: Agarwal, Anish K.

Assessing experiences of racism among Black and White patients in the emergency department.

• DOI: 10.1002/emp2.12870
• 发表时间: 2022-12
• 期刊: JOURNAL OF THE AMERICAN COLLEGE OF EMERGENCY PHYSICIANS OPEN
• 影响因子: 2.3
• 作者: Agarwal, Anish K. K.;Sagan, Charlotte;Gonzales, Rachel;Nijim, Sally;Merchant, Raina M. M.;Asch, David A. A.;South, Eugenia C. C.
• 通讯作者: South, Eugenia C. C.

Consumer Views on Privacy Protections and Sharing of Personal Digital Health Information.

• DOI: 10.1001/jamanetworkopen.2023.1305
• 发表时间: 2023-03-01
• 期刊: JAMA NETWORK OPEN
• 影响因子: 13.8
• 作者: Gupta, Ravi;Iyengar, Raghuram;Sharma, Meghana;Cannuscio, Carolyn C.;Merchant, Raina M.;Asch, David A.;Mitra, Nandita;Grande, David
• 通讯作者: Grande, David

Reddit language indicates changes associated with diet, physical activity, substance use, and smoking during COVID-19.

• DOI: 10.1371/journal.pone.0280337
• 发表时间: 2023
• 期刊: PLOS ONE
• 影响因子: 3.7
• 作者: Wanchoo, Karan;Abrams, Matthew;Merchant, Raina M.;Ungar, Lyle;Guntuku, Sharath Chandra
• 通讯作者: Guntuku, Sharath Chandra