Evidence map›Paper›PMID 40022008›Full record

ArticleBMC public health2025

Migration context of emergency department patients and patterns of their in- and outpatient healthcare utilization - analysis of three INDEED study centers in Berlin.

Freddy Irorutola, Anna Schneider, Katharina Verleger, Dana Abdel Fatah, Samipa Pudasaini, Antje Fischer-Rosinsky, Anna Slagman, Stephanie Roll, Thomas Keil, Martin Möckel and 1 more

Abstract read
In one paragraph

Article in BMC public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–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

4 citing papers in PubMed.

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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

11 authors.

Freddy IrorutolaCharité - Universitätsmedizin Berlin, Emergency and Acute Medicine (CVK, CCM), Berlin, Germany. freddy.irorutola@charite.de.
Anna SchneiderCharité - Universitätsmedizin Berlin, Institute of Medical Sociology and Rehabilitation Science, Berlin, Germany.
Katharina VerlegerCharité - Universitätsmedizin Berlin, Institute of Medical Sociology and Rehabilitation Science, Berlin, Germany.
Dana Abdel FatahHumboldt-Universität zu Berlin, Berlin Institute for Empirical Integration and Migration Research (BIM), Berlin, Germany.
Samipa PudasainiCharité - Universitätsmedizin Berlin, Emergency and Acute Medicine (CVK, CCM), Berlin, Germany.
Antje Fischer-RosinskyCharité - Universitätsmedizin Berlin, Emergency and Acute Medicine (CVK, CCM), Berlin, Germany.
Anna SlagmanCharité - Universitätsmedizin Berlin, Emergency and Acute Medicine (CVK, CCM), Berlin, Germany.
Stephanie RollCharité - Universitätsmedizin Berlin, Institute of Social Medicine, Epidemiology, and Health Economics, Berlin, Germany.
Thomas KeilCharité - Universitätsmedizin Berlin, Institute of Social Medicine, Epidemiology, and Health Economics, Berlin, Germany.
Martin MöckelCharité - Universitätsmedizin Berlin, Emergency and Acute Medicine (CVK, CCM), Berlin, Germany.
Liane SchenkCharité - Universitätsmedizin Berlin, Institute of Medical Sociology and Rehabilitation Science, Berlin, Germany.

Funding

German Federal Ministry for Family Affairs, Senior Citizens, Women and Youth (BMFSFJ) 3922405FDRGerman Innovation Fund 01VSF16044
6 · The paper itself

Abstract

backgroundIncreasing sociocultural diversity has implications for emergency department (ED) care. Individuals with a migration context face challenges that can manifest as barriers in healthcare access and use. Therefore, our aim was to examine differences in healthcare delivery for and utilization of ED patients in Germany regarding their migration context.

methodsWe utilized routine healthcare data from the INDEED project. Patient records from three EDs in Berlin, Germany, from 2016 were linked with associated outpatient treatment data spanning 2014 to 2017. Using an onomastic approach, patients were assigned to one of nine regions of origin (refers to "migration context") based on their names in addition to citizenship. Demographic and clinical data were compared between patients with and without a presumed migration context. Regression analyses were conducted to determine the association of migration context on triage category, hospital admission, frequent ED use (more than two visits within one year), and the number of outpatient presentations, adjusting for sex, age in years and multimorbidity (more than three different diagnoses over three calendar quarters within four consecutive calendar quarters before the first ED visit).

resultsIn total, 123 572 (49 003 (40.2%), 74 569 (59.8%) without presumed migration context) cases were examined. ED patients with a presumed migration context were younger and more often male than those without. Adjusted regression analyses demonstrated that the overall migration context was associated with a slightly higher likelihood of more urgent triage categorization (adjusted odds ratio: 1.03; 95%-confidence interval: 1.01-1.04), while it was also associated with fewer hospital admissions after the ED stay (adjusted odds ratio 0.92; 95%-confidence interval 0.90-0.96), being a frequent ED user (1.22; 1.15-1.30), and fewer contacts with outpatient healthcare services (exponentiated estimates 0.86; 0.85-0.86).

conclusionOur routine data analysis highlighted differences in healthcare pathways between ED patients with and without a presumed migration context in Germany. The likely complex and multifactorial reasons behind these disparities warrant further investigation, preferably by prospective studies. Understanding these factors can enhance the promotion of healthcare provision that is more sensitive to a diverse society.

Indexed as

Ambulatory CareEmergency Service, HospitalPatient Acceptance of Health CareAdolescentAdultAgedBerlinFemaleGermanyHumansMaleMiddle AgedYoung Adult

Identifiers

PMID40022008
PMCPMC11869686

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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.