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COVID-19 之前及期间一家大型学术医疗中心的人员流动与变动趋势:分析结构化临床研究专业人员角色

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

作者信息

Stroo Marissa, Reyes Camila, Deeter Christine, Freel Stephanie A, Gaudaur Heather, Sloane Richard, Snyder Denise C

机构信息

Duke Office of Clinical Research, Duke University, Durham, NC, USA.

School of Medicine, Duke University, Durham, NC, USA.

出版信息

J Clin Transl Sci. 2025 Jun 13;9(1):e134. doi: 10.1017/cts.2025.10063. eCollection 2025.

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.

摘要

引言

高员工流动率一直困扰着临床研究,在新冠疫情期间变得更加严重,尤其是对于面向患者的工作人员而言。在医护人员(包括研究人员)面临巨大不确定性和风险的时期,疫情也带来了对研究数量、速度和复杂性方面需求的增加,引发了员工离职率的上升。这给雇主带来了重大障碍,特别是研究机构,因为留住熟练的面向患者的临床研究专业人员(CRP)对于维持医学创新至关重要。据指出,缺乏工作标准化和晋升途径在人员流动中起着重要作用,并且导致无法准确衡量劳动力趋势。为解决这些因素,杜克大学于2016年为CRP采用了基于能力的工作分类系统。

方法

自采用基于能力的工作分类以来,每月跟踪所有CRP的员工层面人员配置数据,创建了一个从2016年9月到2024年6月的主数据文件。本研究更新了先前的分析,评估了这一时期CRP劳动力的离职率、流动率和人口结构变化。

结果

在过去六年中,杜克大学CRP劳动力相对稳定。自愿离职率有所波动,在2021财年新冠疫情期间达到峰值19.1%,此后每年稳步下降。

结论

尽管疫情加剧了全国范围内的劳动力挑战,但我们的数据表明,标准化临床研究工作并评估由此产生的明确的基于机构的员工数据的积极措施,可能减轻了杜克大学劳动力流动的极端情况。流动率虽然趋于稳定,但仍表明有进一步研究的领域。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/648c/12260974/ee182ce3c750/S2059866125100630_fig1.jpg

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