Evidence map›Paper›PMID 40959662›Full record

ArticleContemporary clinical trials communications2025

Design and refinement of a clinical trial staffing model within the evolving landscape of oncology clinical trials.

Ellen Siglinsky, Hannah Phan, Silviya Meletath, Amber Neal, David E Gerber, Asal Rahimi, Erin L Williams

Abstract read
In one paragraph

Article in Contemporary clinical trials communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Ellen SiglinskyUniversity of Texas Southwestern Medical Center, 5323 Harry Hines Blvd, Dallas, TX, 75390, United States.
Hannah PhanUniversity of Texas Southwestern Medical Center, 5323 Harry Hines Blvd, Dallas, TX, 75390, United States.
Silviya MeletathUniversity of Texas Southwestern Medical Center, 5323 Harry Hines Blvd, Dallas, TX, 75390, United States.
Amber NealUniversity of Texas Southwestern Medical Center, 5323 Harry Hines Blvd, Dallas, TX, 75390, United States.
David E GerberUniversity of Texas Southwestern Medical Center, 5323 Harry Hines Blvd, Dallas, TX, 75390, United States.
Asal RahimiUniversity of Texas Southwestern Medical Center, 5323 Harry Hines Blvd, Dallas, TX, 75390, United States.
Erin L WilliamsUniversity of Texas Southwestern Medical Center, 5323 Harry Hines Blvd, Dallas, TX, 75390, United States.

Funding

UT Southwestern Medical Center Simmons Comprehensive Cancer CenterP30CA142543 · NCI · UT SOUTHWESTERN MEDICAL CENTER · PI Sandi Leigh Pruitt · 2010 to 2026
$53.7M
NCI NIH HHS P30 CA142543
6 · The paper itself

Abstract

Background: Quantifying workload for clinical trial staff represents an ongoing challenge for healthcare facilities conducting cancer clinical trials. We developed and evaluated a staffing model designed to meet this need. Methods: To address individual protocol acuity, the model's algorithms include metrics to account for visit frequency, and the quantity, and types of research-related procedures. Since implementation in 2012, the model has been used to justify clinical research team resource needs and to establish metrics for leadership to reference when reviewing replacement positions; particularly useful to justify resources at the institutional level during the COVID-19 pandemic.In recent years, we identified a gap between predicted and actual staff workload. This precipitated a comprehensive review in 2021 of all aspects of scoring within the model including a comparison to modern protocols to ensure accounting for all types of protocol-related procedures and tests. Results: Further investigation identified increasing complexity of trial screening, which had not been accounted for in the initial model. Specifically, screening-related activities accounted for up to 25% of coordinator effort. We incorporated this work into the model and demonstrated a statistically significant change in average protocol acuity ( Conclusion: Over the past decade, cancer clinical trial screening has increased in complexity and duration. Planning a cancer center's clinical trial workforce requires consideration of screening-related staff effort. For any effort model to be successful, ongoing examination and malleability are critical in this evolving landscape of clinical trials.

Indexed as

Clinical trialEffort reportingOncologyStaffingStaff Retention

Identifiers

PMID40959662
PMCPMC12434995

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.