Evidence map›Paper›PMID 38956501›Full record

ArticleBMC geriatrics2024

Multimorbidity and associated informal care receiving characteristics for US older adults: a latent class analysis.

Ruotong Liu, Corey L Nagel, Siting Chen, Jason T Newsom, Heather G Allore, Ana R Quiñones

Abstract read
In one paragraph

Article in BMC geriatrics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

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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.

Ruotong LiuDepartment of Family Medicine, Oregon Health & Science University, 3181 SW Sam Jackson Park Road, Portland, OR, 97239, USA.
Corey L NagelCollege of Nursing, University of Arkansas for Medical Sciences, Little Rock, Arkansas, USA.
Siting ChenOHSU-PSU School of Public Health, Portland, OR, USA.
Jason T NewsomDepartment of Psychology, Portland State University, Portland, OR, USA.
Heather G AlloreDepartment of Internal Medicine, Yale University, New Haven, Connecticut, USA.
Ana R QuiñonesDepartment of Family Medicine, Oregon Health & Science University, 3181 SW Sam Jackson Park Road, Portland, OR, 97239, USA. quinones@ohsu.edu.

Funding

Yale Study Support Suite (YES3): Dashboard and Web Portal Software Supporting Research Workflow through integrated, customizable REDCap External ModulesP30AG021342 · NIA · YALE UNIVERSITY · PI Denise Esserman · 2002 to 2026
$37.9M
Preparing For What Is Next With Aducanumab In Real World SettingsR33AG057806 · NIA · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI Christopher Barrett Bowling, Ana Roman Quinones · 2018 to 2026
$9.0M
Multimorbidity Combinations and Dementia Onset Among Race/Ethnic Older AdultsRF1AG058545 · NIA · OREGON HEALTH & SCIENCE UNIVERSITY · PI QUINONES, ANA ROMAN · 2019 to 2019
$3.6M
Advancing Geriatrics Infrastructure & Network Growth - Admin Supplement: Designing and Testing an Informatics Tool to Aid Prescribers in Reducing Anticholinergic Burden in Older AdultsR24AG045050 · NIA · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI GURWITZ, JERRY H · 2014 to 2017
$3.6M
NIA NIH HHS P30 AG021342NIA NIH HHS R33AG045050NIA NIH HHS R33 AG057806NIA NIH HHS RF1 AG058545NIA NIH HHS RF1AG058545Yale Claude D. Pepper Older Americans Independent Center P30AG021342
6 · The paper itself

Abstract

backgroundOlder adults with varying patterns of multimorbidity may require distinct types of care and rely on informal caregiving to meet their care needs. This study aims to identify groups of older adults with distinct, empirically-determined multimorbidity patterns and compare characteristics of informal care received among estimated classes.

methodsData are from the 2011 National Health and Aging Trends Study (NHATS). Ten chronic conditions were included to estimate multimorbidity patterns among 7532 individuals using latent class analysis. Multinomial logistic regression model was estimated to examine the association between sociodemographic characteristics, health status and lifestyle variables, care-receiving characteristics and latent class membership.

resultsA four-class solution identified the following multimorbidity groups: some somatic conditions with moderate cognitive impairment (30%), cardiometabolic (25%), musculoskeletal (24%), and multisystem (21%). Compared with those who reported receiving no help, care recipients who received help with household activities only (OR = 1.44, 95% CI 1.05-1.98), mobility but not self-care (OR = 1.63, 95% CI 1.05-2.53), or self-care but not mobility (OR = 2.07, 95% CI 1.29-3.31) had greater likelihood of being in the multisystem group versus the some-somatic group. Having more caregivers was associated with higher odds of being in the multisystem group compared with the some-somatic group (OR = 1.09, 95% CI 1.00-1.18), whereas receiving help from paid helpers was associated with lower odds of being in the multisystem group (OR = 0.36, 95% CI 0.19-0.77).

conclusionsResults highlighted different care needs among persons with distinct combinations of multimorbidity, in particular the wide range of informal needs among older adults with multisystem multimorbidity. Policies and interventions should recognize the differential care needs associated with multimorbidity patterns to better provide person-centered care.

Indexed as

Latent Class AnalysisMultimorbidityAgedAged, 80 and overCaregiversChronic DiseaseFemaleHumansMalePatient CareUnited StatesCaregivingChronic disease combinationsLatent class analysisMultimorbidityMultiple chronic conditions

Identifiers

PMID38956501
PMCPMC11221032

What Socratic holds

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LicenceCC BY
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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 Socratic graph.