Evidence map›Paper›PMID 29360874›Full record

ArticlePloS one2018

Disparities in health care outcomes between immigrants and the majority population in Germany: A trend analysis, 2006-2014.

Patrick Brzoska

Abstract read
In one paragraph

Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
–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

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

  1. Results and Strategies for a Diversity-Oriented Public Health Monitoring in Germany.International journal of environmental research and public health · 2022
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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

1 author.

Patrick BrzoskaChemnitz Technical University, Faculty of Behavioral and Social Sciences, Chemnitz, Germany.ORCID 0000-0001-6489-5198

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundImmigrants often encounter barriers in the health system that may affect their health care outcomes. In order to better cater to the needs of immigrants, many health care institutions have increased their efforts in recent years to provide services which are more sensitive to the needs of an increasingly diverse population. Little is known about whether these efforts are successful. This study examines difference in outcomes of tertiary prevention between immigrants and the autochthonous population in Germany over the period of 2006-2014.

methodsThe analysis is based on a 10% random sample of routine data on completed tertiary preventive treatments in Germany during 2006-2014. Four different indicators of treatment effectiveness were compared between patients with a nationality from Germany, Portugal/Spain/Italy/Greece, Turkey and Former Yugoslavia using logistic regression adjusted for demographic/socioeconomic factors. Interaction terms for year were modeled to examine group differences over time.

resultsDepending on the outcome, Turkish and Former Yugoslavian nationals had an 23%-69% higher chance of a poor treatment effectiveness than Germans (OR = 1.23 [95%-CI = 1.15,1.32] and OR = 1.69 [95%-CI = 1.55,1.83], respectively). Fewer differences were observed between nationals from Portugal/Spain/Italy/Greece and Germans. Disparities did not significantly differ between the years in which services were utilized.

conclusionMeasures implemented by health care institutions did not reduce existing health care disparities between immigrants and the majority population in Germany. One potential reason is that existing approaches are unsystematic and often not properly evaluated. More targeted strategies and a thorough evaluation is needed in order to improve health care for immigrants sustainably.

Indexed as

Emigration and ImmigrationHealthcare DisparitiesOutcome Assessment, Health CareAdultFemaleGermanyHumansLogistic ModelsMaleMiddle Aged

Identifiers

PMID29360874
PMCPMC5779703

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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.