Evidence map›Paper›PMID 40916207›Full record

Observational studyPalliative medicine2025

Characteristics and population estimates of unpaid end of life carers: An observational study.

Clare Gardiner, Arthur Juet, Edward Jd Webb, Juliet Stone

Abstract readObservational Study
In one paragraph

Observational study in Palliative medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Clare GardinerSchool of Allied Health Professions, Nursing & Midwifery, The University of Sheffield, Sheffield, UK.ORCID 0000-0003-1785-7054
Arthur JuetAcademic Unit of Health Economics, Leeds Institute of Health Sciences, University of Leeds, Leeds, UK.ORCID 0000-0002-9652-0224
Edward Jd WebbAcademic Unit of Health Economics, Leeds Institute of Health Sciences, University of Leeds, Leeds, UK.ORCID 0000-0001-7918-839X
Juliet StoneCentre for Research in Social Policy, Loughborough University, Loughborough, UK.ORCID 0000-0003-4140-3036

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundImproving support for unpaid carers is a policy priority internationally, yet there are few reliable population estimates on numbers of end of life carers, and little is known about the demographic characteristics of this group.

aim(1) Estimate the number of unpaid end of life carers in the UK; (2) Describe demographic characteristics of this group.

designAn observational study using data from the UK Household Longitudinal Survey (Understanding Society), Health Survey for England and the Office for National Statistics to estimate the number of end of life carers in the UK. Understanding Society was used to explore characteristics of end of life carers including poverty before and after bereavement.

participantsUnderstanding Society collects annual data on around 40,000 households in the UK, including carers.

resultsData from Understanding Society suggests there are 150,000-180,000 unpaid end of life care in the UK each year, while data from Health Survey for England suggests a higher estimate at 570,000-775,000 carers. End of life carers are more likely to be older and female. There is an increase in the percentage of carers falling into poverty one year after they provided care.

conclusionsThese analyses have provided the first estimate of the number of end of life carers in the UK, using methods which are replicable in other countries. Our data provide a useful benchmark both for the UK and for other comparable high income countries. Many end of life carers are living in poverty, including after bereavement, showing a need for policy initiatives to provide support.

Indexed as

CaregiversTerminal CareAdultAgedAged, 80 and overBereavementFemaleHumansLongitudinal StudiesMaleMiddle AgedPovertyUnited KingdomYoung Adultend of lifefamily carerspalliative carepovertyUnpaid carers

Identifiers

PMID40916207
PMCPMC12640358

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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.