Williams Tremaine Brueon, Schmidtke Carsten, Roessger Kevin, Dieffenderfer Vicki, Garza Maryam, Zozus Meredith
Department of Biomedical Informatics, University of Arkansas for Medical Sciences, Little Rock, Arkansas, USA.
Department of Human Resource & Workforce Development, University of Arkansas, Fayetteville, Arkansas, USA.
JAMIA Open. 2022 Feb 22;5(1):ooac010. doi: 10.1093/jamiaopen/ooac010. eCollection 2022 Apr.
To inform training needs for the revised Certified Clinical Data Manager (CCDM) Exam.
Clinical data managers hold the responsibility for processing the data on which research conclusions and regulatory decisions are based, highlighting the importance of applying effective data management practices. The use of practice standards such as the Good Clinical Data Management Practices increases confidence in data, emphasizing that the study conclusions likely hold much more weight when utilizing standard practices.
A quantitative, descriptive study, and application of classic test theory was undertaken to analyze past data from the CCDM Exam to identify potential training needs. Data across 952 sequential exam attempts were pooled for analysis.
Competency domain-level analysis identified training needs in 4 areas: design tasks; data processing tasks; programming tasks; and coordination and management tasks.
Analysis of past CCDM Exam results using classic test theory identified training needs reflective of exam takers. Training in the identified areas could benefit CCDM Exam takers and improve their ability to apply effective data management practices. While this may not be reflective of individual or organizational needs, recommendations for assessing individual and organizational training needs are provided.
为修订后的认证临床数据经理（CCDM）考试提供培训需求信息。
临床数据经理负责处理作为研究结论和监管决策依据的数据，这凸显了应用有效数据管理实践的重要性。使用诸如《良好临床数据管理规范》等实践标准可增强对数据的信心，强调在采用标准实践时研究结论可能更具分量。
开展了一项定量描述性研究，并应用经典测试理论来分析CCDM考试的过往数据，以确定潜在的培训需求。汇总了952次连续考试尝试的数据进行分析。
能力领域层面的分析确定了4个领域的培训需求：设计任务；数据处理任务；编程任务；以及协调与管理任务。
使用经典测试理论对CCDM考试过往结果进行的分析确定了反映考生情况的培训需求。在确定领域的培训可使CCDM考生受益，并提高他们应用有效数据管理实践的能力。虽然这可能无法反映个人或组织的需求，但提供了评估个人和组织培训需求的建议。
