Trends in turnover and turbulence at a large academic medical center before and during COVID-19: Analyzing structured clinical research professional roles.

IF 2 Q3 MEDICINE, RESEARCH & EXPERIMENTAL
Journal of Clinical and Translational Science Pub Date : 2025-06-13 eCollection Date: 2025-01-01 DOI:10.1017/cts.2025.10063
Marissa Stroo, Camila Reyes, Christine Deeter, Stephanie A Freel, Heather Gaudaur, Richard Sloane, Denise C Snyder
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引用次数: 0

Abstract

Introduction: High workforce turbulence has plagued clinical research, becoming intensified during the COVID-19 pandemic, especially for patient-facing workers. In a time of great uncertainty and risk among healthcare workers, researchers included, the pandemic also brought increased demand for research studies in volume, speed, and complexity, triggering elevated staff turnover. This has posed significant hurdles for employers, especially research sites, where retaining skilled patient-facing clinical research professionals (CRPs) is pivotal for sustaining medical innovation. Lack of job standardization and advancement pathways has been noted to play an important role both in turnover and contributes to the inability to accurately measure workforce trends. To address these factors, Duke University adopted a competency-based job classification system for CRPs in 2016.

Methods: Since that adoption of competency-based jobs, employee-level staffing data for all CRPs have been tracked monthly, creating a master data file from September 2016 through June 2024. This study updates previous analyses, evaluating turnover and turbulence rates, and demographic changes in the CRP workforce over this period.

Results: Over the last six years, the Duke CRP workforce remained relatively stable. Voluntary turnover rates fluctuated, peaking at 19.1% in FY 2021 during the COVID-19 pandemic, and have steadily declined each year since then.

Conclusions: Despite national workforce challenges exacerbated by the pandemic, our data indicate that proactive measures to standardize clinical research jobs and assess the resultant well-defined site-based employee data may have mitigated extremes in workforce turnover at Duke University. Turbulence rates, while stabilizing, signal areas for further study.

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大型学术医疗中心在2019冠状病毒病之前和期间的人员流动和动荡趋势:结构化临床研究专业角色分析
导言:员工队伍的高度动荡一直困扰着临床研究,在COVID-19大流行期间,这种动荡加剧,特别是对面对患者的工作人员。在包括研究人员在内的卫生保健工作者面临巨大不确定性和风险的时期,疫情还增加了对研究数量、速度和复杂性的需求,导致人员流动率上升。这给雇主带来了巨大的障碍,特别是研究场所,在这些地方,留住熟练的面向患者的临床研究专业人员(CRPs)是维持医疗创新的关键。人们注意到,缺乏工作标准化和晋升途径在人员流动和无法准确衡量劳动力趋势方面发挥了重要作用。为了解决这些因素,杜克大学在2016年采用了基于能力的CRPs工作分类系统。方法:自采用基于能力的工作以来,每个月都对所有crp的员工级人员配备数据进行跟踪,并创建了从2016年9月到2024年6月的主数据文件。这项研究更新了先前的分析,评估了这一时期CRP劳动力的流动率和动荡率以及人口统计学变化。结果:在过去的六年里,杜克大学的CRP工作人员保持相对稳定。自愿离职率波动较大,在2019冠状病毒病大流行期间的2021财年达到19.1%的峰值,此后每年都在稳步下降。结论:尽管大流行加剧了国家劳动力的挑战,但我们的数据表明,积极采取措施规范临床研究工作,并评估由此产生的明确定义的基于现场的员工数据,可能减轻了杜克大学劳动力流动的极端情况。湍流率在趋于稳定的同时,标志着有待进一步研究的领域。
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
Journal of Clinical and Translational Science
Journal of Clinical and Translational Science MEDICINE, RESEARCH & EXPERIMENTAL-
CiteScore
2.80
自引率
26.90%
发文量
437
审稿时长
18 weeks
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