Addressing Bias from Missing Data in EHR Based Studies of CVD

解决基于 EHR 的 CVD 研究中缺失数据带来的偏差

基本信息

批准号：
10215604
负责人：
Nrupen Bhavsar
金额：
$ 16.59万
依托单位：
DUKE UNIVERSITY
依托单位国家：
美国
项目类别：
财政年份：
2018
资助国家：
美国
起止时间：
2018-09-01 至 2023-07-31
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/10215604
关键词：
Academic Medical Centers Accounting Address Area Award Baptist Church Biometry Cardiovascular Diseases Caring Chronic Disease Chronic Kidney Failure Clinical Clinical Data Clinical Informatics Clinical Research Cohort Studies Competence Complement Data Data Analyses Data Element Data Linkages Data Pooling Data Science Data Store Development Development Plans Diabetes Mellitus Doctor of Philosophy Electronic Health Record Epidemiologic Methods Epidemiologist Epidemiology Event Goals Health Health Sciences Health system Healthcare Hospitalization Individual Informatics Institution K-Series Research Career Programs Knowledge Lead Legal Machine Learning Medicine Meta-Analysis Methodology Methods Myocardial Infarction National Heart, Lung, and Blood Institute North Carolina Outcome Outcomes Research Patient Care Patients Pharmaceutical Preparations Population Population Sciences Population Study Privacy Publishing Renal carcinoma Reporting Research Research Methodology Research Personnel Research Priority Risk Risk Factors Scientist South Carolina Stroke Training Universities Work base cardiovascular disorder epidemiology cardiovascular disorder risk cardiovascular health care seeking career career development clinical care cohort comorbidity data quality distributed data electronic data epidemiologic data epidemiology study experience forest high risk improved medical schools multidisciplinary novel patient population population health practical application professor randomized trial skills study population

项目摘要

Project Summary This NHLBI K01 application supports the career development of Dr. Nrupen A. Bhavsar, PhD, an Assistant Professor of Medicine at the Duke University School of Medicine. Dr. Bhavsar is a chronic disease epidemiologist who has performed multidisciplinary studies in the epidemiology of CVD, chronic kidney disease and cancer. He is passionate about pursuing a career in clinical research at the intersection of epidemiology, informatics, and biostatistics. At the end of the award period, Dr. Bhavsar will be an independent investigator applying knowledge gained through this K01 to develop large scale EHR-based population studies that identify individuals at high risk for cardiovascular disease (CVD) events. Through training in data linkage, machine learning, and causal inference, he will apply missing data methods to conduct rigorous non-randomized studies to improve health. The topical areas of the proposed training and research are diabetes and incident CVD events in the application of data linkage, machine learning, and causal inference. Career development aim: Obtain transdisciplinary competencies within informatics, biostatistics, and population sciences to investigate methodological challenges inherent in the use of multi-health system EHR data for clinical research. The training approach will leverage didactic and experiential training complemented by analyses of data derived from a multi-health system, multi-state research collaborative. Study population: Patients who received care at one of the North Carolina or South Carolina “Carolinas Collaborative” institutions (Duke University Medical Center, UNC-CH Health System, Wake Forest Baptist Health Center, and 9 additional health systems collaborating within the Health Sciences of South Carolina institutions). Specific aims: This proposal will identify approaches to account for missing data when patients seek care across multiple health systems but EHR data is only available from a single health system. Estimating the systemic bias introduced by missing data for single institution studies and identifying methods for accounting for missing data biases may improve the ability of EHR data to be used for clinical research. Anticipated results: Through this NHLBI K01 Research Scientist Career Development Award, Dr. Bhavsar will acquire essential training and research experience to develop large scale EHR-based population studies in CVD.

项目概要此 NHLBI K01 申请支持助理教授 Nrupen A. Bhavsar 博士的职业发展 Bhavsar 博士是杜克大学医学院的一名慢性病流行病学家。他对心血管疾病、慢性肾病和癌症的流行病学进行了多学科研究。关于在流行病学、信息学和生物统计学交叉领域从事临床研究的职业。奖励期结束后，Bhavsar 博士将成为一名独立调查员，运用通过本 K01 获得的知识开展基于电子病历的大规模人群研究，识别心血管疾病高危人群（CVD）事件。通过数据链接、机器学习和因果推理方面的培训，他将应用缺失的数据。进行严格的非随机研究以改善健康的方法。研究领域包括糖尿病和心血管疾病事件在数据链接、机器学习和因果关系中的应用职业发展目标：获得信息学、生物统计学和推理方面的跨学科能力。人口科学调查使用多卫生系统 EHR 数据的方法论固有挑战培训方法将利用教学和体验式培训，并辅以分析。数据来自多卫生系统、多州研究合作研究人群：接受治疗的患者。在北卡罗来纳州或南卡罗来纳州“卡罗莱纳州合作”机构之一（杜克大学医学院）提供护理中心、UNC-CH 卫生系统、维克森林浸信会卫生中心以及 9 个其他卫生系统进行合作具体目标：该提案将确定以下方法：当患者在多个卫生系统寻求护理但 EHR 数据只能从估计单一机构研究的缺失数据所带来的系统性偏差解释缺失数据识别偏差的方法可能会提高 EHR 数据用于临床的能力预期结果：Bhavsar 博士获得 NHLBI K01 研究科学家职业发展奖。将获得必要的培训和研究经验，以开展大规模的基于 EHR 的 CVD 人群研究。