Evidence map›Paper›PMID 42455515›Full record

ArticleJournal of the American Geriatrics Society2026

Family Visits and Symptom Burden in Nursing Home Residents With Cognitive Impairment.

Gretchen G Tucker, John G Cagle, Timothy E Stump, Wanzhu Tu, Todd D Becker, Alex Floyd, Peiyuan Zhang, Kathleen T Unroe

Registry-linked trialAbstract read
In one paragraph

Article in Journal of the American Geriatrics Society, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04520698 (Utilizing Palliative Leaders In Facilities to Transform Care for Alzheimer's Disease), which is not on this 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.

NCT04520698 nacompletednot on this map

Utilizing Palliative Leaders In Facilities to Transform Care for Alzheimer's Disease

TypeinterventionalSponsorIndiana UniversityRan2021 to 2025Enrolled1,322ConditionsAlzheimer DiseaseArmsUPLIFT-AD
3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
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

8 authors.

Gretchen G TuckerUniversity of Maryland School of Medicine, Baltimore, Maryland, USA.ORCID 0000-0002-4981-6874
John G CagleUniversity of Maryland School of Social Work, Baltimore, Maryland, USA.
Timothy E StumpIndiana University School of Medicine, Indianapolis, Indiana, USA.
Wanzhu TuIndiana University School of Medicine, Indianapolis, Indiana, USA.
Todd D BeckerWashU Medicine, St. Louis, Missouri, USA.ORCID 0000-0003-4170-1412
Alex FloydIndiana University School of Medicine, Indianapolis, Indiana, USA.
Peiyuan ZhangUniversity of Maryland School of Social Work, Baltimore, Maryland, USA.ORCID 0000-0002-4203-4749
Kathleen T UnroeIndiana University School of Medicine, Indianapolis, Indiana, USA.

Funding

RESEARCH TRAINING IN THE EPIDEMIOLOGY OF AGINGT32AG000262 · NIA · UNIVERSITY OF MARYLAND BALTIMORE · PI ANN L GRUBER-BALDINI, DENISE L ORWIG · 1998 to 2026
$8.2M
Postdoctoral Training in Cancer Prevention and ControlT32CA190194 · NCI · WASHINGTON UNIVERSITY · PI GRAHAM A. COLDITZ, AIMEE S JAMES · 2014 to 2026
$4.7M
UPLIFT-AD (Utilizing Palliative Leaders in Facilities to Transform care for Alzheimer's Disease) interventionR01AG066922 · NIA · INDIANA UNIVERSITY INDIANAPOLIS · PI CAGLE, JOHN GARLAND, UNROE, KATHLEEN T · 2020 to 2024
$3.5M
NCI NIH HHS T32 CA190194NCI NIH HHS T32CA190194NIA NIH HHS R01 AG066922NIA NIH HHS T32 AG000262NIA NIH HHS T32AG000262
6 · The paper itself

Abstract

backgroundFamily visits with nursing home residents have been shown to improve residents' quality of life. However, little is known about the association between in-person family visits and physical (e.g., pain) and behavioral symptoms (e.g., agitation) among residents with cognitive impairment. Using data from a large clinical trial of a palliative care program in Maryland and Indiana, we examined the association between family visits and staff-reported resident symptom burden.

methodsUsing cross-sectional baseline data from an ongoing multi-state clinical trial involving 194 nursing home residents with cognitive impairment, we conducted bivariate analyses to examine the association between in-person family visits (family involvement) as reported by family members and staff-reported resident symptom burden. Linear regression models assessed the association between symptom burden and family visits in an adjusted framework. The model controlled for other relevant covariates, including resident race, gender, and age, and the care partner's relationship to the resident. Staff-reported symptom burden was measured using a modified version of the Comfort Assessment in Dying End of Life in Dementia (CAD-EOLD) scale. Family involvement was measured by the average weekly frequency of in-person visits reported by the family over the past month.

resultsOn average, spouses visited 5 days per week, children 2 days per week, and other family members 1.5 days a week. In bivariate analyses, there was a weak but statistically significant and positive correlation between family involvement and symptom burden (r = 0.16, p = 0.04). However, in the adjusted model, the association was not statistically significant (b = 0.16, p = 0.09).

conclusionBivariate analyses suggest a significant and positive correlation between family visitation and symptom burden. However, this finding was not in the expected direction. Family visitation was associated with residents experiencing greater symptom burden. The association was not statistically significant in the adjusted model.

trial registrationClinicalTrials.gov identifier: NCT04520698.

Indexed as

Cognitive DysfunctionFamilyNursing Home ResidentsNursing HomesAgedAged, 80 and overClinical Trials as TopicCross-Sectional StudiesFemaleHumansIndianaMaleMarylandPalliative CareQuality of LifeSymptom Burdenfamilylong‐term carestaff assessmentvisitation

Identifiers

PMID42455515
PMCPMC13496353

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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.