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A Novel Clinical Research Modality for Enrolling Diverse Participants Using a Diverse Team

机译:一种使用不同的团队注册各种参与者的新型临床研究模式

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摘要

The advancement of the pediatric traumatic brain injury (TBI) knowledge base requires biospecimens and data from large samples. This study seeks to describe a novel clinical research modality to establish best practices for enrolling a diverse pediatric TBI population and quantifying key information on enrollment into biobanks. Screening form responses were standardized and cleaned through Google Sheets. Data were used to analyze total individuals at each enrollment stage. R was utilized for final analysis, including logistic model and proportion statistical tests, to determine further significance and relationships. Issues throughout data cleaning shed light on limitations of the consent modality. The results suggest that through a diverse research team, the recruited sample exceeds traditional measures of representation (e.g., sex, race, ethnicity). Sex demographics of the study are representative of the local population. Screening for candidates is critical to the success of the consent modality. The consent modality may be modified to increase the diversity of the study population and accept bilingual candidates. Researchers must implement best practices, including increasing inclusivity of bilingual populations, utilizing technology, and improving participant follow-up, to improve health disparities for understudied clinical populations.
机译:儿科创伤性脑损伤(TBI)知识库的进步需要来自大型样品的生物转化和数据。本研究旨在描述一种新的临床研究模型,以确定注册多元化的儿科TBI人口的最佳实践,并定量有关入学纳入生物汉的关键信息。筛选形式响应标准化并通过Google Sheets清洁。数据用于分析每个入学阶段的总体。 R用于最终分析,包括物流模型和比例统计测试,以确定进一步的意义和关系。在整个数据清洁界面的问题上阐明了同意情色的局限性。结果表明,通过多样化的研究团队,招募样本超过了传统的代表措施(例如,性别,种族,种族)。研究的性别人口统计学是当地人口的代表。筛选候选人对同意情色成功至关重要。可以修改同意情色以增加研究人群的多样性并接受双语候选人。研究人员必须实施最佳实践,包括增加双语群体的包容性,利用技术和改善参与者的随访,以改善临床群体的健康差异。

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