Evidence map›Paper›PMID 39331671›Full record

ArticlePloS one2024

The association between frailty, care receipt and unmet need for care with the risk of hospital admissions.

Asri Maharani, David R Sinclair, Andrew Clegg, Barbara Hanratty, James Nazroo, Gindo Tampubolon, Chris Todd, Raphael Wittenberg, Terence W O'Neill, Fiona E Matthews

Abstract read
In one paragraph

Article in PloS one, 2024. 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

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

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

10 authors.

Asri MaharaniNational Institute for Health and Care Research (NIHR) Policy Research Unit in Older People and Frailty / Healthy Ageing, School of Health Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, United Kingdom.ORCID 0000-0002-5931-8692
David R SinclairNational Institute for Health and Care Research (NIHR) Policy Research Unit in Older People and Frailty / Healthy Ageing, Population Health Sciences Institute, Newcastle University, Newcastle-upon-Tyne, United Kingdom.ORCID 0000-0002-3468-7475
Andrew CleggAcademic Unit for Ageing and Stroke Research, Bradford Institute for Health Research, School of Medicine, University of Leeds, Leeds, United Kingdom.
Barbara HanrattyNational Institute for Health and Care Research (NIHR) Policy Research Unit in Older People and Frailty / Healthy Ageing, Population Health Sciences Institute, Newcastle University, Newcastle-upon-Tyne, United Kingdom.
James NazrooCathie Marsh Institute for Social Research, School of Social Sciences, Faculty of Humanities, University of Manchester, Manchester, United Kingdom.
Gindo TampubolonGlobal Development Institute, University of Manchester, Manchester, United Kingdom.
Chris ToddNational Institute for Health and Care Research (NIHR) Policy Research Unit in Older People and Frailty / Healthy Ageing, School of Health Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, United Kingdom.
Raphael WittenbergNational Institute for Health and Care Research (NIHR) Policy Research Unit in Older People and Frailty / Healthy Ageing, Care Policy and Evaluation Centre, London School of Economics and Political Science, London, United Kingdom.
Terence W O'NeillNational Institute for Health and Care Research (NIHR) Policy Research Unit in Older People and Frailty / Healthy Ageing, School of Health Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, United Kingdom.
Fiona E MatthewsNational Institute for Health and Care Research (NIHR) Policy Research Unit in Older People and Frailty / Healthy Ageing, Population Health Sciences Institute, Newcastle University, Newcastle-upon-Tyne, United Kingdom.ORCID 0000-0002-1728-2388

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundFrailty is characterised by a decline in physical, cognitive, energy, and health reserves and is linked to greater functional dependency and higher social care utilisation. However, the relationship between receiving care, or receiving insufficient care among older people with different frailty status and the risk of unplanned admission to hospital for any cause, or the risk of falls and fractures remains unclear. METHODS AND

findingsThis study used information from 7,656 adults aged 60 and older participating in the English Longitudinal Study of Ageing (ELSA) waves 6-8. Care status was assessed through received care and self-reported unmet care needs, while frailty was measured using a frailty index. Competing-risk regression analysis was used (with death as a potential competing risk), adjusted for demographic and socioeconomic confounders. Around a quarter of the participants received care, of which approximately 60% received low levels of care, while the rest had high levels of care. Older people who received low and high levels of care had a higher risk of unplanned admission independent of frailty status. Unmet need for care was not significantly associated with an increased risk of unplanned admission compared to those receiving no care. Older people in receipt of care had an increased risk of hospitalisation due to falls but not fractures, compared to those who received no care after adjustment for covariates, including frailty status.

conclusionsCare receipt increases the risk of hospitalisation substantially, suggesting this is a group worthy of prevention intervention focus.

Indexed as

FrailtyHospitalizationAccidental FallsAgedAged, 80 and overFemaleFrail ElderlyHealth Services Needs and DemandHumansLongitudinal StudiesMaleMiddle AgedRisk Factors

Identifiers

PMID39331671
PMCPMC11432830

What OpenQuestion 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 OpenQuestion graph.