Evidence map›Paper›PMID 37904087›Full record

ArticleBMC geriatrics2023

Association between multimorbidity and informal long-term care use in China: a nationwide cohort study.

Shu Chen, Yafei Si, Katja Hanewald, Bingqin Li, Chenkai Wu, Xiaolin Xu, Hazel Bateman

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BMC geriatrics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.1field-weighted citation impact, top 21% of its field
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

6 citing papers in PubMed, 5 citations in OpenAlex.

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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

7 authors at 4 institutions in 2 countries.

Shu ChenAustralian Research Council Centre of Excellence in Population Ageing Research (CEPAR), University of New South Wales, Sydney, NSW, 2052, Australia. shu.chen2@unsw.edu.au.
Yafei SiAustralian Research Council Centre of Excellence in Population Ageing Research (CEPAR), University of New South Wales, Sydney, NSW, 2052, Australia.
Katja HanewaldAustralian Research Council Centre of Excellence in Population Ageing Research (CEPAR), University of New South Wales, Sydney, NSW, 2052, Australia.
Bingqin LiSocial Policy Research Centre, University of New South Wales, Sydney, Australia.
Chenkai WuGlobal Health Research Centre, Duke Kunshan University, Kunshan, China.
Xiaolin XuDepartment of Big Data in Health Science, School of Public Health, Zhejiang University, Hangzhou, China. xiaolin.xu@zju.edu.cn.
Hazel BatemanAustralian Research Council Centre of Excellence in Population Ageing Research (CEPAR), University of New South Wales, Sydney, NSW, 2052, Australia.
Australian Research Council · AUUNSW Sydney · AUDuke Kunshan University · CNZhejiang University · CN

Funding

Integrting Information About Aging SurveysR01AG030153 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI Sara Adar, Alden L. Gross · 2007 to 2026
$41.7M
Mega Meta Data Set of the Health and Retirement Surveys Around the WorldRC2AG036619 · NIA · RAND CORPORATION · PI KAPTEYN, ARIE · 2009 to 2010
$2.0M
Archiving & Creating User Friendly Data: the Longitudinal Aging Survey in IndiaR03AG043052 · NIA · RAND CORPORATION · PI LEE, JINKOOK · 2012 to 2012
$95k
NIA NIH HHS R01 AG030153NIA NIH HHS R03 AG043052NIA NIH HHS RC2 AG036619
6 · The paper itself

Abstract

backgroundThe impact of multimorbidity on long-term care (LTC) use is understudied, despite its well-documented negative effects on functional disabilities. The current study aims to assess the association between multimorbidity and informal LTC use in China. We also explored the socioeconomic and regional disparities.

methodsThe study included 10,831 community-dwelling respondents aged 45 years and older from the China Health and Retirement Longitudinal Study in 2011, 2015, and 2018 for analysis. We used a two-part model with random effects to estimate the association between multimorbidity and informal LTC use. Heterogeneity of the association by socioeconomic position (education and income) and region was explored via a subgroup analysis. We further converted the change of informal LTC hours associated with multimorbidity into monetary value and calculated the 95% uncertainty interval (UI).

resultsThe reported prevalence of multimorbidity was 60·0% (95% CI: 58·9%, 61·2%) in 2018. We found multimorbidity was associated with an increased likelihood of receiving informal LTC (OR = 2·13; 95% CI: 1·97, 2·30) and more hours of informal LTC received (IRR = 1·20; 95% CI: 1·06, 1·37), ceteris paribus. Participants in the highest income quintile received more hours of informal LTC care (IRR = 1·62; 95% CI: 1·31, 1·99). The estimated monetary value of increased informal LTC hours among participants with multimorbidity was equivalent to 3·7% (95% UI: 2·2%, 5·4%) of China's GDP in 2018.

conclusionOur findings substantiate the threat of multimorbidity to LTC burden. It is imperative to strengthen LTC services provision, especially among older adults with multimorbidity and ensure equal access among those with lower income.

Indexed as

Long-Term CareMultimorbidityAgedChinaCohort StudiesHumansIncomeLongitudinal StudiesEconomic burdenInformal long-term careMultimorbidityRegional disparitiesSocio-economic disparities

Identifiers

PMID37904087
PMCPMC10617137
OpenAlexW4388020668

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.