Evidence map›Paper›PMID 37200280›Full record

ArticlePloS one2023

Socio-demographic and regional differences in unmet healthcare needs among migrants in Europe.

Lembe Kullamaa, Rainer Reile

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
2.8field-weighted citation impact, top 10% 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

7 citing papers in PubMed, 9 citations in OpenAlex.

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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

2 authors at 1 institution in 1 country.

Lembe KullamaaDepartment of Epidemiology and Biostatistics, National Institute for Health Development, Tallinn, Estonia.ORCID 0000-0003-2789-3569
Rainer ReileDepartment of Epidemiology and Biostatistics, National Institute for Health Development, Tallinn, Estonia.
National Institute for Health Development · EE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDifferent barriers that hinder migrants' access to healthcare may have detrimental effect on health but also contribute to health inequalities. Given the lack of evidence on unmet healthcare needs among European migrant population, the study aimed to analyse the demographic, socio-economic and health-related patterning of unmet healthcare needs among migrants in Europe.

methodsEuropean Health Interview Survey data from 2013-2015 covering 26 countries was used to analyse associations of individual-level factors and unmet healthcare needs among migrants (n = 12,817). Prevalences and 95% confidence intervals for unmet healthcare needs were presented for geographical regions and countries. Associations between unmet healthcare needs and demographic, socio-economic, and health indicators were analysed using Poisson regression models.

resultsThe overall prevalence of unmet healthcare needs among migrants was 27.8% (95% CI 27.1-28.6) but the estimate varied substantially across geographical regions in Europe. Unmet healthcare needs due to cost or access were patterned by various demographic, socio-economic, and health-related indicators but higher prevalence of UHN were universally found for women, those with the lowest income, and poor health.

conclusionsWhile the high level of unmet healthcare needs illustrate migrants' vulnerability to health risks, the regional variations in the prevalence estimates and individual-level predictors highlight the variations in national policies regarding migration and healthcare legislations and differences in welfare-systems across Europe in general.

Indexed as

Transients and MigrantsEuropeFemaleHealth InequitiesHealth Services AccessibilityHumansPoverty

Identifiers

PMID37200280
PMCPMC10194988
OpenAlexW4377018808

What OpenQuestion holds

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LicenceCC BY
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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.