Accelerating resident research within quantitative collaboration units in academic healthcare

Pub Date : 2024-06-01 DOI:10.1002/sta4.689
Clemontina A. Davenport, Hui‐Jie Lee, Quentin Ruiz‐Esparza, Nicholas Janes, Megan L. Neely, Lacey Rende, Gregory P. Samsa, Kelsey Stilley, Jesse D. Troy, Tracy Truong, S. Grambow, Gina‐Maria Pomann
{"title":"Accelerating resident research within quantitative collaboration units in academic healthcare","authors":"Clemontina A. Davenport, Hui‐Jie Lee, Quentin Ruiz‐Esparza, Nicholas Janes, Megan L. Neely, Lacey Rende, Gregory P. Samsa, Kelsey Stilley, Jesse D. Troy, Tracy Truong, S. Grambow, Gina‐Maria Pomann","doi":"10.1002/sta4.689","DOIUrl":null,"url":null,"abstract":"With increased access to biomedical and electronic health records data and the complexity of research questions, individuals in residency programmes who aim to conduct research require specialized educational programmes and biostatistics support. Biostatistics collaboration units in academic health centres often work with residents to conduct data‐intensive research. These units face numerous challenges related to providing training in statistical literacy and collaborating on resident‐led research within very restricted timelines. Since 2019, the Duke Biostatistics, Epidemiology, and Research Design (BERD) Methods Core has supported over 247 resident‐led projects by developing tools and resources to address these challenges. This manuscript presents novel processes and training materials that other institutions can use to help biostatistics collaboration units effectively support resident training programmes. We provide a framework to support the development of collaborative teams, along with specialized training materials for residents who collaborate with these teams.","PeriodicalId":0,"journal":{"name":"","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"","FirstCategoryId":"100","ListUrlMain":"https://doi.org/10.1002/sta4.689","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

With increased access to biomedical and electronic health records data and the complexity of research questions, individuals in residency programmes who aim to conduct research require specialized educational programmes and biostatistics support. Biostatistics collaboration units in academic health centres often work with residents to conduct data‐intensive research. These units face numerous challenges related to providing training in statistical literacy and collaborating on resident‐led research within very restricted timelines. Since 2019, the Duke Biostatistics, Epidemiology, and Research Design (BERD) Methods Core has supported over 247 resident‐led projects by developing tools and resources to address these challenges. This manuscript presents novel processes and training materials that other institutions can use to help biostatistics collaboration units effectively support resident training programmes. We provide a framework to support the development of collaborative teams, along with specialized training materials for residents who collaborate with these teams.
分享
查看原文
在学术医疗机构的定量合作单位内加快住院医师的研究工作
随着获取生物医学和电子健康记录数据的途径增多以及研究问题的复杂性,旨在开展研究的住院医师计划人员需要专门的教育课程和生物统计学支持。学术健康中心的生物统计合作单位经常与住院医师合作开展数据密集型研究。这些单位面临着众多挑战,既要提供统计知识培训,又要在非常有限的时间内合作开展住院医师主导的研究。自 2019 年以来,杜克大学生物统计、流行病学和研究设计(BERD)方法核心通过开发工具和资源来应对这些挑战,支持了超过 247 个由住院医师主导的项目。本手稿介绍了新颖的流程和培训材料,其他机构可以利用这些材料帮助生物统计协作单位有效支持住院医师培训计划。我们提供了一个支持合作团队发展的框架,并为与这些团队合作的住院医师提供了专门的培训材料。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信