Evidence map›Paper›PMID 40972057›Full record

ArticleGeriatric nursing (New York, N.Y.)

Characterizing symptom clusters for older adults with urinary incontinence in home healthcare.

Danielle Scharp, Jiyoun Song, Zidu Xu, Mary Happel Palmer, Veronica Barcelona, Maxim Topaz

Abstract read
In one paragraph

Article in Geriatric nursing (New York, N.Y.). 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

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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. 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

6 authors.

Danielle ScharpColumbia University School of Nursing, 560 West 168th Street, New York, NY 10032, United States. Electronic address: danielle.scharp@mountsinai.org.
Jiyoun SongUniversity of Pennsylvania School of Nursing, Department of Biobehavioral Sciences, 418 Curie Boulevard Philadelphia, PA 19104, United States. Electronic address: songjiy@nursing.upenn.edu.
Zidu XuColumbia University School of Nursing, 560 West 168th Street, New York, NY 10032, United States. Electronic address: znx2000@cumc.columbia.edu.
Mary Happel PalmerUniversity of North Carolina at Chapel Hill School of Nursing, 120 North Medical Drive Chapel Hill, NC 27599-7460, United States. Electronic address: mhpalmer@email.unc.edu.
Veronica BarcelonaColumbia University School of Nursing, 560 West 168th Street, New York, NY 10032, United States. Electronic address: vb2534@cumc.columbia.edu.
Maxim TopazColumbia University School of Nursing, 560 West 168th Street, New York, NY 10032, United States. Electronic address: mt3315@cumc.columbia.edu.

Funding

Reducing Health Disparities Through Informatics - Genomics SupplementT32NR007969 · NINR · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI SUZANNE BAKKEN, Rebecca Schnall · 2002 to 2026
$7.9M
Research Training for the Care of Vulnerable Older Adults with Alzheimer’s Disease and Related Dementias and Other Chronic ConditionsT32AG066598 · NIA · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI Alex D Federman · 2020 to 2026
$2.3M
HEAR-HEARTFELT (Identifying the risk of Hospitalizations or Emergency depARtment visits for patients with HEART Failure in managed long-term care through vErbaL communicaTion)K99HL169940 · NHLBI · UNIVERSITY OF PENNSYLVANIA · PI SONG, JIYOUN · 2023 to 2024
$198k
AHRQ HHS R01 HS027742NHLBI NIH HHS K99 HL169940NIA NIH HHS T32 AG066598NINR NIH HHS T32 NR007969
6 · The paper itself

Abstract

backgroundIn home healthcare, limited understanding of symptom clusters among older adults with urinary incontinence may perpetuate disjointed assessments and negative outcomes.

objectivesWe aimed to identify symptom clusters and analyze differences by sociodemographic and clinical factors.

methodsWe analyzed home healthcare episode data for adults ≥ 65 years old with urinary incontinence from the largest agency in the Northeastern United States. Symptoms were extracted from clinical notes using natural language processing. Symptom clusters were defined as distinct symptom experiences rather than requiring a specific number of symptoms. We employed hierarchical clustering, an unsupervised, data-driven method that iteratively identifies naturally occurring symptom subgroups without constraining the number of symptoms required. We used Chi-square tests to examine differences by sociodemographic and clinical factors, with the control group comprised of no symptoms.

resultsAmong 39,179 episodes (mean age 84, 74 % female, 61 % White), five clusters emerged: 1) anxiety (13.8 %), 2) all symptoms (5.8 %), 3) dizziness-anxiety (5.2 %), 4) constipation-anxiety-dizziness (3.7 %), and 5) no symptoms (71.5 %, control group). Compared to the no symptoms cluster, the anxiety cluster had more females and depression, all symptoms cluster had more cardiovascular disease, and dizziness-anxiety cluster had more fall history (all p < .001).

conclusionComprehensively addressing symptom clusters is crucial for improving care. Future studies should examine symptom relationships and associations with health outcomes.

Indexed as

Home Care ServicesUrinary IncontinenceAgedAged, 80 and overAnxietyCluster AnalysisConstipationFemaleHumansMaleAgingHome healthcareNursing informaticsSymptom clusteringUrinary incontinence

Identifiers

PMID40972057
PMCPMC12584858

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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.