Evidence map›Paper›PMID 40745267›Full record

ArticleBMC medical research methodology2025

Effectiveness of a local recruitment registry in older adults in Southern California.

Adam I Birnbaum, Adrijana Gombosev, Zion T Grant-Freeman, Dan Hoang, Daniel L Gillen, Joshua D Grill

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BMC medical research methodology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

6 authors.

Adam I BirnbaumDepartment of Statistics, University of California, Irvine, Bren Hall 2019, Irvine, CA, 92697-1250, USA. abirnbau@uci.edu.
Adrijana GombosevInstitute for Memory Impairments and Neurological Disorders, University of California, Irvine, Irvine, CA, USA.
Zion T Grant-FreemanInstitute for Memory Impairments and Neurological Disorders, University of California, Irvine, Irvine, CA, USA.
Dan HoangInstitute for Memory Impairments and Neurological Disorders, University of California, Irvine, Irvine, CA, USA.
Daniel L GillenDepartment of Statistics, University of California, Irvine, Bren Hall 2019, Irvine, CA, 92697-1250, USA.
Joshua D GrillInstitute for Memory Impairments and Neurological Disorders, University of California, Irvine, Irvine, CA, USA.

Funding

The Alzheimer's Disease Research Center at the University of California, IrvineP30AG066519 · NIA · UNIVERSITY OF CALIFORNIA-IRVINE · PI Elizabeth Head · 2020 to 2026
$27.9M
Institute for Clinical and Translational ScienceUM1TR004927 · NCATS · UNIVERSITY OF CALIFORNIA-IRVINE · PI DAN M COOPER, Eric J. Vilain · 2024 to 2026
$12.2M
National Science Foundation Graduate Research Fellowship Program DGE 1839285NCATS NIH HHS UM1 TR004927NIA NIH HHS P30 AG066519NIA NIH HHS P30 AGO66519
6 · The paper itself

Abstract

backgroundDespite their potential as tools for improving the efficiency of accrual in clinical research, few analyses have assessed the effectiveness of recruitment registries. We investigated referrals to clinical research studies from the University of California, Irvine Consent-to-Contact registry, a local online recruitment registry in Orange County, CA. Our analyses sought to quantify the total number of referrals and the proportion of referrals leading to subsequent enrollment in a clinical research study. Key secondary objectives were to investigate the relationship with referral outcomes for registrant research attitudes and the participant burden of the contacting study.

methodsWe categorized referral outcomes as: (i) unable to reach, (ii) declined to participate, (iii) phone screened but ineligible, (iv) consented but ineligible, or (v) consented and enrolled. We assessed the overall effectiveness of the registry using the observed distribution of referral outcomes. We investigated the marginal relationship between referral outcome and the participant burden of the contacting study using distributions of referral outcomes conditional on participant burden. We used a binary logistic linear mixed effects model to investigate relationships between registrant characteristics and the odds of a referral leading to participant consent.

resultsOverall, the registry made 6,314 resolved referrals of 3,843 unique registrants to 57 unique research studies. 1,642 (26%) of these referrals were successful, leading to enrollment. Among referrals to interview studies, registrant research attitudes as measured by the research attitudes questionnaire were not associated with the odds of successful first referral (odds ratio per 5 points: 1.00, 95% CI: (0.79, 1.28), p = 0.98). Registrant research attitudes were positively associated with the odds of a successful first referral in non-invasive longitudinal studies (odds ratio per 5 points on the research attitudes questionnaire: 1.17, 95% CI: (1.03-1.32), p = 0.02). The observed relationship was stronger, though not significant in invasive and interventional research (odds ratio: 1.22, 95% CI: (0.99-1.49), p = 0.06).

conclusionsOur results emphasize the potential effectiveness of recruitment registries and of the research attitudes questionnaire to predict referral outcomes to higher burden clinical research.

Indexed as

Patient SelectionRegistriesAgedAged, 80 and overBiomedical ResearchCaliforniaFemaleHumansMaleMiddle AgedReferral and ConsultationAlzheimer’s diseaseClinical trialsRecruitmentRegistriesResearch attitudes questionnaire

Identifiers

PMID40745267
PMCPMC12315308

What OpenQuestion holds

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LicenceCC BY
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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.