Assessment of real-world evidence research competencies in federated research networks: a maternal health fellowship program evaluation.

IF 4.7 Q2 HEALTH CARE SCIENCES & SERVICES
JAMIA Open Pub Date : 2026-07-14 eCollection Date: 2026-08-01 DOI:10.1093/jamiaopen/ooag128
Haeun Lee, Benjamin Martin, Andreea A Creanga, Evan Minty, Asieh Golozar, Cindy X Cai, Cynthia Sung, Sean O'Rilley, Khyzer Aziz, Paul Nagy
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引用次数: 0

Abstract

Background and significance: Generating real-world evidence (RWE) approaches across federated evidence networks based on real-world data requires learning new methodological skills. However, standardized frameworks for defining and assessing competencies for large-scale RWE research remain limited. This study aims to develop an assessment framework for RWE studies and evaluate the competencies of RWE research professionals.

Methods: We adapted the Joint Task Force (JTF) Core Competency Framework for RWE research using the Observational Medical Outcomes Partnership (OMOP) Common Data Model. Through iterative expert review, 4 new domains were created, including Ethics and Governance, Protocol Development, Study Operations, and Data Analysis and Informatics, and 4 original JTF domains were adapted. Participants completed pre- and post-training self-assessments on a 10-point scale. Paired t-tests with effect sizes were used to evaluate changes in competency scores.

Results: Seventeen participants from academic, data, and clinical roles completed the assessment. Mean self-reported competency scores increased by 2.5 points across the 8 competency domains, with statistically significant changes observed in all domains. The largest gain was observed in Leadership and Professionalism (mean increase 3.66; 95% CI, 2.69-4.62).

Discussion: The RWE research competency assessment tool captured changes in self-reported skill proficiency, perceived readiness to conduct RWE studies, and methodological knowledge gaps. These findings suggest the potential to identify competency gaps, tailor educational interventions, and inform quality benchmarks for RWE research training programs.

Conclusion: This study developed and evaluated a competency assessment framework specifically designed for RWE research using standardized healthcare data, providing a tool for training program evaluation and workforce development support.

联邦研究网络中真实世界证据研究能力的评估:孕产妇健康奖学金项目评估。
背景和意义:在基于真实世界数据的联合证据网络中生成真实世界证据(RWE)方法需要学习新的方法技能。然而,用于定义和评估大规模RWE研究能力的标准化框架仍然有限。本研究旨在为RWE研究建立一个评估框架,并评估RWE研究专业人员的能力。方法:我们采用观察性医疗成果伙伴关系(OMOP)通用数据模型,将联合任务组(JTF)核心能力框架改编为RWE研究。通过反复的专家评审,创建了4个新的领域,包括伦理与治理、协议开发、研究操作和数据分析与信息学,并改编了4个原有的JTF领域。参与者完成了训练前和训练后的10分制自我评估。配对t检验与效应量评估能力得分的变化。结果:17名来自学术、数据和临床角色的参与者完成了评估。在8个能力领域中,平均自我报告能力得分增加了2.5分,在所有领域都观察到统计学上的显著变化。最大的增长是在领导力和专业性方面(平均增长3.66;95% CI, 2.69-4.62)。讨论:RWE研究能力评估工具捕获了自我报告的技能熟练程度的变化,进行RWE研究的感知准备,以及方法学上的知识差距。这些发现表明,有可能确定能力差距,定制教育干预措施,并为RWE研究培训计划提供质量基准。结论:本研究开发并评估了一个专门为RWE研究设计的能力评估框架,使用标准化的医疗保健数据,为培训计划评估和劳动力发展提供了一个工具。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
JAMIA Open
JAMIA Open Medicine-Health Informatics
CiteScore
4.10
自引率
4.80%
发文量
102
审稿时长
16 weeks
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