Evidence map›Paper›PMID 31967087›Full record

ArticleJournal of preventive medicine and hygiene2019

Regional indices of socio-economic and health inequalities: a tool for public health programming.

R Lillini, G Masanotti, F Bianconi, A Gili, F Stracci, F LA Rosa, M Vercelli

Abstract read
In one paragraph

Article in Journal of preventive medicine and hygiene, 2019. 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

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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

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3 · Its place in the literature

Who cites it

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No citing paper in PubMed yet.

4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

7 authors.

R LilliniDepartment of Health Sciences, University of Genoa. Analytical Epidemiology and Health Impact Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan.
G MasanottiSection of Public Health, Department of Experimental Medicine, University of Perugia, Italy.
F BianconiSection of Public Health, Department of Experimental Medicine, University of Perugia, Italy.
A GiliSection of Public Health, Department of Experimental Medicine, University of Perugia, Italy.
F StracciSection of Public Health, Department of Experimental Medicine, University of Perugia, Italy.
F LA RosaSection of Public Health, Department of Experimental Medicine, University of Perugia, Italy.
M VercelliDepartment of Health Sciences, University of Genova, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThe aim was to provide an affordable method of computing socio-economic (SE) deprivation indices at the regional level, in order to reveal the specific aspects of the relationship between SE inequalities and health outcomes. The Umbria Region Socio-Health Index (USHI) was computed and compared with the Italian National Deprivation Index at the Umbria regional level (NDI-U).

methodsThe USHI was computed by applying factor analysis to census tract SE variables correlated with general mortality and validated through comparison with the NDI-U.

resultsOverall mortality presented linear positive trends in USHI, while trends in NDI-U proved non-linear or non-significant. Similar results were obtained with regard to specific causes of death according to deprivation groups, gender and age.

conclusionsThe USHI better describes a local population in terms of health-related SE status. Policy-makers could therefore adopt this method in order to obtain a better picture of SE-associated health conditions in regional populations and to target strategies for reducing health inequalities.

Indexed as

Health Status DisparitiesMortalityPublic HealthResidence CharacteristicsSocial ClassSocioeconomic FactorsAdolescentAdultAgedCause of DeathChildChild, PreschoolFemaleHealth ResourcesHumansInfantHealth care resourcesInequalities in healthPublic healthSocio-economic indicesSocio-economic status

Identifiers

PMID31967087
PMCPMC6953449

What OpenQuestion holds

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LicenceCC BY-NC
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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.