Evidence map›Paper›PMID 42080594›Full record

ArticleClinical and translational science2026

Predictors of Clinical Trial Participation Among Older U.S. Adults With Multimorbidity: A Cross-Sectional Survey.

Janice B Schwartz, Ruey-Ying Liu, John Boscardin, Derjung M Tarn

Abstract read
In one paragraph

Article in 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

4 authors.

Janice B SchwartzDepartment of Medicine, University of California, San Francisco, San Francisco, California, USA.ORCID 0000-0002-5171-7824
Ruey-Ying LiuDepartment of Sociology, National Chengchi University, Taipei, Taiwan.ORCID 0000-0002-2770-2147
John BoscardinDepartment of Medicine, University of California, San Francisco, San Francisco, California, USA.ORCID 0000-0003-3121-9526
Derjung M TarnDepartment of Family Medicine, David Geffen School of Medicine at UCLA, University of California, Los Angeles, Los Angeles, California, USA.ORCID 0000-0001-7426-6387

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Older adults, women, and minorities are under-represented in clinical trials. Our objective was to identify characteristics predicting participation in clinical trials of medications in a diverse sample of older adults; and, secondarily, identify current participation motivators and barriers and trial preferences. A cross-sectional U.S. community convenience sample survey of adults > 65 years with > 3 chronic medical conditions querying attitudes about participation in clinical trials was conducted from March 2023-October 2024 in English and Spanish. Formats were yes/no or three-point Likert scale answers. Multivariable logistic regression identified characteristics with higher likelihood of trial participation. Surveys were from 2176 older adults (White (50.3%), Black/African American (18.5%), Hispanic/Latino (17.7%), Asian (13.5%) aged 73.1 ± 6.1 years (mean, SD), 52% women,one 4.1 ± 1.9 medical conditions; taking 7.4 ± 3.2 medications. Characteristics with higher likelihood of trial participation were higher income (1.36, 0.93-1.99; Odds Ratio, 95% Confidence Interval), educational status (1.88, 1.12-3.0), greater health literacy (2.07, 1.29-3.3), having cancer (1.49, 1.11-1.99) or chronic pain (1.55, 1.17-2.06), Black/African American race (1.44, 1.02-2.02) or Hispanic/Latino race/ethnicity (1.55, 1.11-2.16). Females had lower likelihood of participation (0.66, 1.29-3.32) as did age 75 and above (0.67, 0.50-0.92). Disincentives in women were potential side effects, placeboes, visit travel > 1 h, and video visits. Prior participants and nonparticipants were more likely to consider participation after physician recommendation (92% and 76.4%, respectively). Better care would motivate the highest percentage of all respondents. Education about trials including possible benefits, addressing concerns of women, physician involvement during recruitment and trials with in-person visits may increase representative enrollment.

Indexed as

Clinical Trials as TopicMultimorbidityPatient ParticipationAgedAged, 80 and overCross-Sectional StudiesFemaleHumansMaleMotivationPatient SelectionSurveys and QuestionnairesUnited Statesbarriers to participationclinical trial participationclinical trialsmotivators for participationrepresentation

Identifiers

PMID42080594
PMCPMC13137783

What OpenQuestion holds

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LicenceCC BY-NC
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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.