Evidence map›Paper›PMID 41523622›Full record

ArticleJournal of clinical and translational science2025

Associations between survey completion mode and sociodemographic factors among individuals eligible for lung cancer screening.

Catherine S Nagawa, Reid Anctil, Jordan Neil, Iván Flores, Natalie Durieux, Ruosi Shao, Yuchiao Chang, Elyse Park, Gina R Kruse

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. 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

9 authors.

Catherine S NagawaTSET Health Promotion Research Center, Stephenson Cancer Center, The University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA.ORCID https://orcid.org/0000-0002-7761-118X
Reid AnctilMassachusetts General Hospital, Boston, MA, USA.
Jordan NeilTSET Health Promotion Research Center, Stephenson Cancer Center, The University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA.
Iván FloresTSET Health Promotion Research Center, Stephenson Cancer Center, The University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA.
Natalie DurieuxMassachusetts General Hospital, Boston, MA, USA.
Ruosi ShaoSchool of Communication, Florida State University, Tallahassee, FL, USA.
Yuchiao ChangMassachusetts General Hospital, Boston, MA, USA.
Elyse ParkMassachusetts General Hospital, Boston, MA, USA.
Gina R KruseDivision of General Internal Medicine, University of Colorado School of Medicine, Aurora, CO, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: To enhance representation in LCS research, we examined associations between participant characteristics and their preferred mode of survey completion among individuals eligible for LCS. Methods: Between February 2023 and April 2024, prospective participants were identified using electronic healthcare records from Mass General Brigham and the University of Oklahoma Health Sciences (OUHSC). We offered three modes of survey completion: online, by mail, or by phone. Eligible participants were 50-80 years old, had smoked within the past 15 years, and spoke English or Spanish. We used multinomial logistic regression to estimate relative risk ratios (RRR). Results: Outreach to 2,822 individuals resulted in a sample of 315 participants. The mean age was 61.7 years (SD = 10.9). Most respondents were women (63.0%) and identified as White (63.3%), 29.8 % were Hispanic. The most common survey completion mode was mail (37.1%), followed by online (35.9%) and phone (27.0%). Characteristics associated with completion by mail were study site (RRR = 6.86, 95%CI:3.10-15.14), and race (RRR = 3.63, 95%CI:1.53-8.61); with respondents at OUHSC or who did not identify as White being more likely to choose mail over online modality. Characteristics associated with phone completion, included older age (RRR = 1.11, 95% CI: 1.03-1.20), Spanish language preference (RRR = 9.28, 95%CI:2.38-36.09), and with local government or community insurance (RRR = 9.91, 95% CI:1.92-51.3). Conclusion: The current trend toward online surveys may not fully account for individual preferences for LCS research engagement, and could limit the representativeness in LCS studies if offline alternatives are not offered.

Indexed as

health disparitiesLung cancer screeningmail-based surveysrecruitment methodssurvey mode preference

Identifiers

PMID41523622
PMCPMC12779489

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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.