Evidence map›Paper›PMID 40620512›Full record

ArticleAging medicine (Milton (N.S.W))2025

Factors Associated With Frailty Clinic Utilization by High-Need High-Risk Older Adult Veterans.

Marianne Desir, Fei Tang, Carlos Gomez-Orozco, Stuti Dang

Abstract read
In one paragraph

Article in Aging medicine (Milton (N.S.W)), 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

4 authors.

Marianne DesirMiami VA Healthcare System Geriatric Research, Education & Clinical Center (GRECC) Miami Florida USA.
Fei TangMiami VA Healthcare System Geriatric Research, Education & Clinical Center (GRECC) Miami Florida USA.
Carlos Gomez-OrozcoMiami VA Healthcare System Research Service Miami Florida USA.ORCID https://orcid.org/0009-0005-8201-6456
Stuti DangMiami VA Healthcare System Geriatric Research, Education & Clinical Center (GRECC) Miami Florida USA.ORCID https://orcid.org/0000-0002-7203-3229

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: Clinical models incorporating multidomain assessment and interventions may be helpful for older adults with frailty and other higher-risk geriatric patients. Patient participation in these clinical programs is variable, however, and there is a need for greater understanding of the factors that influence participation. We aimed to identify patient characteristics associated with participation in an outpatient frailty clinic intervention. Methods: We conducted a retrospective study of high-need high-risk older adult patients who were offered a frailty clinic intervention designed to assess and address their medical, functional, psychological, and social needs (FIT clinic). Consistent with the Andersen Behavioral Model of Healthcare Utilization, we identified variables in the "predisposing," "need," and "enabling" domains that might relate to patient participation in the clinic. Bivariate analyses were employed to explore the potential roles of the identified variables in the observed levels of patient participation. Results: In the analyses of "predisposing" factors, being married and being of African American race were positively associated with FIT clinic participation ( Conclusion: The application of the Andersen Behavioral Model can provide insights into the participation patterns of high-risk older Veterans in clinical interventions involving comprehensive geriatric assessments and multidomain interventions, including frailty clinics.

Indexed as

frailtygeriatricsolder adultsparticipationutilization

Identifiers

PMID40620512
PMCPMC12226407

What OpenQuestion holds

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Registered trials

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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.