ArticleJournal of the American Geriatrics Society2025
Preferences Regarding Clinical Drug Trial Elements: A Nationally Representative Survey of Older Adults With Multimorbidity.
Article in Journal of the American Geriatrics Society, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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.
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.
Who cites it
3 citing papers in PubMed.
- Predictors of Clinical Trial Participation Among Older U.S. Adults With Multimorbidity: A Cross-Sectional Survey.Clinical and translational science · 2026Article
- Representation of Older Adult Patients in Clinical Trials.Clinical and translational science · 2025Article
- Preferences Regarding Clinical Drug Trial Elements: A Nationally Representative Survey of Older Adults With Multimorbidity.Journal of the American Geriatrics Society · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
backgroundOlder adults with multimorbidity have been under-represented in clinical drug trials. We sought to determine willingness to enroll in trials and preferences of older adults for learning about clinical trials, visit frequency, travel, locations, and testing.
methodsCross-sectional internet and telephone survey of a nationally representative sample of adults ≥ 65 years with ≥ 3 chronic conditions (NORC University of Chicago Foresight 50+ panel) from March-April 2023 to determine acceptability of aspects of clinical trials.
resultsSurveyed 1318 (1142 Internet, 176 phone), mean age 72.3 ± 6.3 (SD), 52% women; race: 83% White, 10% Black or African American (BLAfrAm), 5% Hispanic or Latino, 1.1% Asian; 4.4 ± 1.9 chronic conditions (of 16 queried), taking 7.5 ± 3.3 medications. Almost half would consider trials of medications for memory problems, hypertension, cancer, chronic pain, diabetes, or high cholesterol. Men and BLAfrAm respondents were the most willing to consider hypertension or diabetes trials. Preferences for where to learn about trials were physician offices (87% overall, 85% of BLAfrAm, 94% of Hispanic); 10% of White respondents considered senior centers versus 30% of BLAfrAm and 20% of Hispanics (p < 0.001). Two-thirds wanted written materials and question and answer sessions (no significant sex or racial differences). Respondents anticipated no difficulty with measuring blood pressure at home, and only respondents > 80 years anticipated difficulty wearing activity monitoring devices. All groups preferred monthly or every 3-4 month visits for physical exams, blood or urine tests vs. less frequently and were willing to travel half an hour in each direction for visits.
conclusionsEfforts to increase enrollment of older adults and older adults from previously under-represented racial populations will need increased physician engagement. Pragmatic trials with infrequent participant contact are not likely to increase participation of older adults with multimorbidity.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.