Evidence map›Paper›PMID 34078322›Full record

ArticleBMC public health2021

Non-employment and low educational level as risk factors for inequitable treatment and mortality in heart failure: a population-based cohort study of register data.

Anna Ohlsson, Nils Eckerdal, Bertil Lindahl, Marianne Hanning, Ragnar Westerling

Open access · goldAbstract read
In one paragraph

Article in BMC public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
1.7field-weighted citation impact, top 15% 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, 1 synthesis or guideline pooled it, 14 citations in OpenAlex.

  1. Pooled it
  2. Observational
  3. Article
  4. Long-term cardiovascular outcomes among immigrants and non-immigrants in cardiac resynchronization therapy: a nationwide study.Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology · 2023
    Article
  5. Article
  6. 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

5 authors at 1 institution in 1 country.

Anna OhlssonDepartment of Public Health and Caring Sciences, Uppsala University, Box 564, 751 22, Uppsala, Sweden. anna.ohlsson@pubcare.uu.se.ORCID http://orcid.org/0000-0001-6897-6390
Nils EckerdalDepartment of Statistics, Uppsala University, Box 513, 751 20, Uppsala, Sweden.
Bertil LindahlDepartment of Medical Sciences, Uppsala University, 751 85, Uppsala, Sweden.
Marianne HanningDepartment of Public Health and Caring Sciences, Uppsala University, Box 564, 751 22, Uppsala, Sweden.
Ragnar WesterlingDepartment of Public Health and Caring Sciences, Uppsala University, Box 564, 751 22, Uppsala, Sweden.
Uppsala University · SE

Funding

Forskningsrådet om Hälsa, Arbetsliv och Välfärd 2015-00480
6 · The paper itself

Abstract

backgroundThe risk of heart failure is disproportionately high among the socioeconomically disadvantaged. Furthermore, socioeconomically deprived patients are at risk of inequitable access to heart failure treatment and poor outcomes. Non-employment as a risk factor in this respect has not previously been studied at the level of the individual. The aim of this register-based cohort study was to analyse equity in access to renin-angiotensin system blockers and mortality, by employment status and educational level.

methodsThe study population consisted of Swedish patients aged 20-64 years hospitalised for heart failure in July 2006-December 2010, without a heart failure hospitalisation within one year or more before index hospitalisation and without renin-angiotensin system blocker dispensation in the 6 months preceding index hospitalisation. Non-access to renin-angiotensin system blockers, measured as drug dispensations, was investigated by employment status and educational level through logistic regression. Cox regression models were used to obtain hazard ratios for all-cause death by educational level and employment status. Interaction analysis was used to test whether associations between access to treatment and mortality differed by employment status.

resultsAmong the 3874 patients, 1239 (32%) were women. The median age was 57 years. Fifty-three percent were employed. The non-employed patients had more comorbidity and lower access (68%) to renin-angiotensin system blockers compared with the employed (82%). The adjusted odds ratio for non-access to renin-angiotensin system blockers among the non-employed was 1.76. Non-employment was associated with an adjusted hazard ratio of 1.76 for death. Low educational level was associated with a higher death risk. Mortality was highest among the non-employed without access to renin-angiotensin system blockers and the association between access to renin-angiotensin system blockers and survival was slightly weaker in this group.

conclusionsNon-employment and low educational level were associated with elevated mortality in heart failure. Non-employment was a risk factor for lower access to evidence-based treatment, and among the non-employed access to treatment was associated with a slightly smaller risk reduction than among the employed. The results underscore that clinicians need to be aware of the importance of socioeconomic factors in heart failure care.

Indexed as

Angiotensin-Converting Enzyme InhibitorsHeart FailureCohort StudiesFemaleHumansMaleMiddle AgedRisk FactorsSwedenAngiotensin-Converting Enzyme InhibitorsEducational levelEmployment statusEquity in health careHeart failureRenin-angiotensin system blockers

Identifiers

PMID34078322
PMCPMC8170987
OpenAlexW3129050946

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.