Evidence map›Paper›PMID 31013279›Full record

SynthesisPLoS medicine2019

Socioeconomic position and use of healthcare in the last year of life: A systematic review and meta-analysis.

Joanna M Davies, Katherine E Sleeman, Javiera Leniz, Rebecca Wilson, Irene J Higginson, Julia Verne, Matthew Maddocks, Fliss E M Murtagh

Erratum issued Registry-linked trialAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in PLoS medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. It is linked to trial NCT06768918 (Digitizing Cancer Rehabilitation During and After Systemic Treatment), which is not on this map. Cited by 99 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
99citing papers in PubMed, 3 pooled it
–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.

NCT06768918 narecruitingnot on this mapstarted 2024, after this paper: background citation

Digitizing Cancer Rehabilitation During and After Systemic Treatment: Feasibility Testing Implementation in South Baltic Countries

TypeinterventionalSponsorZealand University HospitalRan2024 to 2026Enrolled300ConditionsCancer Rehabilitation, CancerArmsremote physical rehabilitation
3 · Its place in the literature

Who cites it

99 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
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  3. Pooled it
  4. Cancer and Health Inequalities.British journal of cancer · 2026
    Review
  5. Observational
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  14. End-of-life emergency medical service transport among patients with terminal cancer by cardiopulmonary arrest status: A nationwide mortality follow-back survey.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2026
    Article
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39 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Joanna M DaviesCicely Saunders Institute of Palliative Care, Policy and Rehabilitation, King's College London, London, United Kingdom.ORCID 0000-0002-6375-0023
Katherine E SleemanCicely Saunders Institute of Palliative Care, Policy and Rehabilitation, King's College London, London, United Kingdom.ORCID 0000-0002-9777-4373
Javiera LenizCicely Saunders Institute of Palliative Care, Policy and Rehabilitation, King's College London, London, United Kingdom.ORCID 0000-0002-9315-4871
Rebecca WilsonCicely Saunders Institute of Palliative Care, Policy and Rehabilitation, King's College London, London, United Kingdom.ORCID 0000-0003-4709-7260
Irene J HigginsonCicely Saunders Institute of Palliative Care, Policy and Rehabilitation, King's College London, London, United Kingdom.
Julia VerneHealth Intelligence, Public Health England, Bristol, United Kingdom.
Matthew MaddocksCicely Saunders Institute of Palliative Care, Policy and Rehabilitation, King's College London, London, United Kingdom.
Fliss E M MurtaghCicely Saunders Institute of Palliative Care, Policy and Rehabilitation, King's College London, London, United Kingdom.

Funding

Cancer Research UK 15954Cancer Research UK 25350Department of Health CDF-2017-009Department of Health CDF-2017-10-009Department of Health CS-2015-15-005The Dunhill Medical Trust RTF74/0116
6 · The paper itself

Abstract

backgroundLow socioeconomic position (SEP) is recognized as a risk factor for worse health outcomes. How socioeconomic factors influence end-of-life care, and the magnitude of their effect, is not understood. This review aimed to synthesise and quantify the associations between measures of SEP and use of healthcare in the last year of life. METHODS AND

findingsMEDLINE, EMBASE, PsycINFO, CINAHL, and ASSIA databases were searched without language restrictions from inception to 1 February 2019. We included empirical observational studies from high-income countries reporting an association between SEP (e.g., income, education, occupation, private medical insurance status, housing tenure, housing quality, or area-based deprivation) and place of death, plus use of acute care, specialist and nonspecialist end-of-life care, advance care planning, and quality of care in the last year of life. Methodological quality was evaluated using the Newcastle-Ottawa Quality Assessment Scale (NOS). The overall strength and direction of associations was summarised, and where sufficient comparable data were available, adjusted odds ratios (ORs) were pooled and dose-response meta-regression performed. A total of 209 studies were included (mean NOS quality score of 4.8); 112 high- to medium-quality observational studies were used in the meta-synthesis and meta-analysis (53.5% from North America, 31.0% from Europe, 8.5% from Australia, and 7.0% from Asia). Compared to people living in the least deprived neighbourhoods, people living in the most deprived neighbourhoods were more likely to die in hospital versus home (OR 1.30, 95% CI 1.23-1.38, p < 0.001), to receive acute hospital-based care in the last 3 months of life (OR 1.16, 95% CI 1.08-1.25, p < 0.001), and to not receive specialist palliative care (OR 1.13, 95% CI 1.07-1.19, p < 0.001). For every quintile increase in area deprivation, hospital versus home death was more likely (OR 1.07, 95% CI 1.05-1.08, p < 0.001), and not receiving specialist palliative care was more likely (OR 1.03, 95% CI 1.02-1.05, p < 0.001). Compared to the most educated (qualifications or years of education completed), the least educated people were more likely to not receive specialist palliative care (OR 1.26, 95% CI 1.07-1.49, p = 0.005). The observational nature of the studies included and the focus on high-income countries limit the conclusions of this review.

conclusionsIn high-income countries, low SEP is a risk factor for hospital death as well as other indicators of potentially poor-quality end-of-life care, with evidence of a dose response indicating that inequality persists across the social stratum. These findings should stimulate widespread efforts to reduce socioeconomic inequality towards the end of life.

Indexed as

Terminal CareAdolescentAdultAgedAged, 80 and overFemaleHealthcare DisparitiesHealth Services AccessibilityHousingHumansInsurance CoverageMaleMiddle AgedPatient Acceptance of Health CarePovertyQuality of Life

Identifiers

PMID31013279
PMCPMC6478269

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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.