Evidence map›Paper›PMID 38571908›Full record

ArticleContemporary clinical trials communications2024

A randomized comparison of recruitment messages for a weight loss clinical trial targeting men working in trade and labor occupations.

Melissa M Crane, Bradley M Appelhans

Abstract read
In one paragraph

Article in Contemporary clinical trials communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Trial
  2. 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

2 authors.

Melissa M CraneDepartment of Family and Preventive Medicine, Rush University Medical Center, 1700 W. Van Buren St., Ste 470, Chicago, IL 60612, USA.
Bradley M AppelhansDepartment of Family and Preventive Medicine, Rush University Medical Center, 1700 W. Van Buren St., Ste 470, Chicago, IL 60612, USA.

Funding

Engaging men from blue-collar industries in weight loss: Tailoring recruitment and treatment approachesK01DK119457 · NIDDK · RUSH UNIVERSITY MEDICAL CENTER · PI CRANE, MELISSA MARIE · 2019 to 2023
$748k
NIDDK NIH HHS K01 DK119457
6 · The paper itself

Abstract

Background: Engaging diverse populations in clinical trials is vital to research. This study evaluated the effects of varying recruitment messages for a clinical trial. Methods: The messages were evaluated in a randomly assigned, factorial design that tested enhanced trust (vs. standard) and participant endorsement (vs. standard) messaging.Four postcards were developed and randomly assigned to 4000 potential participants' addresses. Except for the messages of interest, the cards were identical, and participants were directed to four identical study websites and screening forms. Outcomes include unique website visits, visit conversion rate, screening forms completed, and participants randomized into the parent study. Results: Study websites received 74 visits (range by message type 9 to 34). There was no significant difference by message type (p = 0.79). Online screening forms were completed by 15 participants (range by message type 0-6), representing a conversion rate of 20.3% of website visits. Seven participants were randomized into the study in response to the postcards (range by message type 0 to 3; 46.7% of screenings). Overall, 0.2% of individuals who received a postcard were randomized into the study. Conclusion: Despite developing recruitment messages with participant input, the enhanced messages did not yield a greater response than standard messages. However, this method of evaluating recruitment messages shows promise.

Indexed as

Clinical trialsDisparitiesMessage framingRecruitment

Identifiers

PMID38571908
PMCPMC10990703

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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 Socratic graph.