Evidence map›Paper›PMID 32293403›Full record

SynthesisBMC palliative care2020

Impact of socioeconomic status on end-of-life costs: a systematic review and meta-analysis.

Caberry W Yu, S Mohammad Alavinia, David A Alter

Abstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in BMC palliative care, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Article
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  4. Palliative care case management in a surgical department for patients with gastrointestinal cancer-a register-based cohort study.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2024
    Article
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  12. Article
  13. Costs for Statutorily Insured Dental Services in Older Germans 2012-2017.International journal of environmental research and public health · 2021
    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

3 authors.

Caberry W YuSchool of Medicine, Faculty of Health Sciences, Queen's University, 15 Arch St, Kingston, ON, K7L 3N6, Canada.
S Mohammad AlaviniaNeural Engineering & Therapeutics Team, Toronto Rehabilitation Institute, University Health Network, 550 University Ave, Toronto, Canada.
David A AlterDepartment of Medicine, University Health Network, 27 King's College Cir, Toronto, ON, M5S 1A1, Canada. david.alter@ices.on.ca.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSocioeconomic inequalities in access to, and utilization of medical care have been shown in many jurisdictions. However, the extent to which they exist at end-of-life (EOL) remains unclear.

methodsStudies in MEDLINE, EMBASE, CINAHL, ProQuest, Web of Science, Web of Knowledge, and OpenGrey databases were searched through December 2019 with hand-searching of in-text citations. No publication date or language limitations were set. Studies assessing SES (e.g. income) in adults, correlated to EOL costs in last year(s) or month(s) of life were selected. Two independent reviewers performed data abstraction and quality assessment, with inconsistencies resolved by consensus.

resultsA total of twenty articles met eligibility criteria. Two meta-analyses were performed on studies that examined total costs in last year of life - the first examined costs without adjustments for confounders (n = 4), the second examined costs that adjusted for confounders, including comorbidities (n = 2). Among studies which did not adjust for comorbidities, SES was positively correlated with EOL costs (standardized mean difference, 0.13 [95% confidence interval, 0.03 to 0.24]). However, among studies adjusting for comorbidities, SES was inversely correlated with EOL expenditures (regression coefficient, -$150.94 [95% confidence interval, -$177.69 to -$124.19], 2015 United States Dollars (USD)). Higher ambulatory care and drug expenditure were consistently found among higher SES patients irrespective of whether or not comorbidity adjustment was employed.

conclusionOverall, an inequality leading to higher end-of-life expenditure for higher SES patients existed to varying extents, even within countries providing universal health care, with greatest differences seen for outpatient and prescription drug costs. The magnitude and directionality of the relationship in part depended on whether comorbidity risk-adjustment methodology was employed.

Indexed as

Social ClassHealth Care CostsHealthcare DisparitiesHumansTerminal CareEnd-of-lifeHealthcare costsIncomePalliativeSocial determinants

Identifiers

PMID32293403
PMCPMC7087362

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.