Evidence map›Paper›PMID 40665971›Full record

ArticleJournal of clinical and translational science2025

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

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

Abstract read
In one paragraph

Article in Journal of clinical and translational science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Marissa StrooDuke Office of Clinical Research, Duke University, Durham, NC, USA.ORCID https://orcid.org/0000-0003-2796-6457
Camila ReyesDuke Office of Clinical Research, Duke University, Durham, NC, USA.
Christine DeeterDuke Office of Clinical Research, Duke University, Durham, NC, USA.ORCID https://orcid.org/0009-0003-1466-4967
Stephanie A FreelDuke Office of Clinical Research, Duke University, Durham, NC, USA.ORCID https://orcid.org/0000-0002-8525-3271
Heather GaudaurRewards and Recognition, Duke Human Resources, Duke University, Durham, NC, USA.
Richard SloaneSchool of Medicine, Duke University, Durham, NC, USA.
Denise C SnyderDuke Office of Clinical Research, Duke University, Durham, NC, USA.ORCID https://orcid.org/0000-0003-1160-7433

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

clinical research professionalsClinical research workforceemployee turnoverworkforce developmentworkforce turbulence

Identifiers

PMID40665971
PMCPMC12260974

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.