Evidence map›Paper›PMID 41930360›Full record

ArticleJournal of clinical and translational science2026

Use of advance letters to enhance participant retention in a clinical trial.

Sarah Cook, Meghan Mayhew, Sarah Nelson, P Suzanne Aycock, Consuelo Wilkins, Paul A Harris, Lynn DeBar

Abstract read
In one paragraph

Article in Journal of clinical and translational science, 2026. 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.

Sarah CookVanderbilt Institute for Clinical and Translational Research, Vanderbilt University Medical Center, USA.ORCID https://orcid.org/0000-0002-4906-7084
Meghan MayhewKaiser Permanente Center for Health Research, USA.
Sarah NelsonVanderbilt Institute for Clinical and Translational Research, Vanderbilt University Medical Center, USA.
P Suzanne AycockDuke Clinical Research Institute, Duke University Medical Center, USA.
Consuelo WilkinsVanderbilt Institute for Clinical and Translational Research, Vanderbilt University Medical Center, USA.
Paul A HarrisVanderbilt Institute for Clinical and Translational Research, Vanderbilt University Medical Center, USA.ORCID https://orcid.org/0000-0002-1744-2011
Lynn DeBarKaiser Permanente Center for Health Research, USA.

Funding

HEAL Sickle Cell and CDE SupplementU24TR004315 · NCATS · UTAH STATE HIGHER EDUCATION SYSTEM--UNIVERSITY OF UTAH · PI DWYER, JAMIE P., SWARD, KATHERINE ANN · 2022 to 2025
$13.8M
STEPS: Supporting Trials for Effective Pain SolutionsU24TR004317 · NCATS · VANDERBILT UNIVERSITY MEDICAL CENTER · PI HARRIS, PAUL A., WILKINS, CONSUELO HOPKINS · 2022 to 2025
$4.0M
NCATS NIH HHS U24 TR004315NCATS NIH HHS U24 TR004317
6 · The paper itself

Abstract

In randomized clinical trials, participant retention is critical to ensure the validity and unbiased interpretation of study results. Within a multisite trial of individuals with high impact chronic pain, we explored whether a letter mailed in advance of follow-up study assessments at 3-, 6-, and 12-months from randomization improved participant retention. 4063 advance letters were mailed to 2037 participants at least once throughout their study participation. Increases in participant retention and follow-up assessment rates were observed across all study groups, sites, and timepoints. Mailing a letter in advance of follow-up study assessments in this randomized clinical trial improved participant retention.

Indexed as

advance letterattritionchronic painfollow-upRetention

Identifiers

PMID41930360
PMCPMC13040391

What OpenQuestion holds

Textmetadata
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.