Evidence map›Paper›PMID 31146708›Full record

ArticleBMC public health2019

Monitoring health inequalities when the socio-economic composition changes: are the slope and relative indices of inequality appropriate? Results of a simulation study.

Françoise Renard, Brecht Devleesschauwer, Niko Speybroeck, Patrick Deboosere

Abstract read
In one paragraph

Article in BMC public health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
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27citing papers in PubMed, 1 pooled it
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1 · What the graph read from it

What it found

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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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3 · Its place in the literature

Who cites it

27 citing papers in PubMed, 1 synthesis or guideline pooled it.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Françoise RenardDepartment of Epidemiology and Public Health, Sciensano, Rue Juliette Wytsmanstraat 14, 1050, Brussels, Belgium. francoise.renard@sciensano.be.ORCID http://orcid.org/0000-0002-7184-9779
Brecht DevleesschauwerDepartment of Epidemiology and Public Health, Sciensano, Rue Juliette Wytsmanstraat 14, 1050, Brussels, Belgium.
Niko SpeybroeckInstitute of Health and Society (IRSS), Université catholique de Louvain, Louvain-la Neuve, Belgium.
Patrick DeboosereInterface Demography, Section Social Research, Vrije Universiteit Brussels, Brussels, Belgium.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe slope (SII) and relative (RII) indices of inequality are commonly recommended to monitor health inequality policies. As an upwards shift of the educational level distribution (ELD) can be part of those policies, we examine how such a shift affects the SII, the RII and the population attributable fraction (PAF).

methodsWe simulated 632 distributions of 4 educational levels (ELs) by varying the share (p1 to p4) of each EL, with constant mortality rates (MR) and calculated the corresponding RII, SII and PAF. Second, we decomposed the effect on the three indices of a change affecting both the ELD and the MRs, into the contributions of each component.

resultsRIIs and SIIs sharply increase with p4 at fixed p1 values and evolve as reversed U-curves for p1 changing in complement to p4. The RII reaches a maximum, at much higher p4 values than the SII. PAFs monotonically decrease when p4 increases.

conclusionIf improving the educational attainment is part of a policy, an upwards shift of EL should be assessed as a progress; however the RII, and to a lesser extent the SII, frequently translate an increased EL4 share as a worsening. We warn against the use of SII and RII for monitoring inequality-tackling policies at changing socio-economic structures. Rather, we recommend to complement the assessment of changes in absolute and relative pairwise differentials, with changes in PAF and in the socio-economic group shares.

Indexed as

Epidemiological MonitoringHealth Status DisparitiesComputer SimulationHealth PolicyHumansSocioeconomic FactorsHealth inequalityInequality indicesMonitoringRelative index of inequality

Identifiers

PMID31146708
PMCPMC6543610

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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.