Evidence map›Paper›PMID 33643633›Full record

ArticleJournal of global health2021

Disease burden in a large cohort of asylum seekers and refugees in Germany.

Frank Müller, Evelyn Kleinert, Nele Hillermann, Anne Simmenroth, Eva Hummers, Anna Zychlinsky Scharff, Christian Dopfer, Christine Happle, Alexandra Jablonka

Abstract read
In one paragraph

Article in Journal of global health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

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

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Observational
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

9 authors.

Frank MüllerDepartment of General Practice, University Medical Centre Goettingen, Goettingen, Germany.
Evelyn KleinertDepartment of General Practice, University Medical Centre Goettingen, Goettingen, Germany.
Nele HillermannDepartment of General Practice, University Medical Centre Goettingen, Goettingen, Germany.
Anne SimmenrothDepartment of General Practice, University Medical Centre Goettingen, Goettingen, Germany.
Eva HummersDepartment of General Practice, University Medical Centre Goettingen, Goettingen, Germany.
Anna Zychlinsky ScharffDepartment for Pediatrics, Hannover Medical School, Hannover, Germany.
Christian DopferDepartment of Paediatric Pneumology, Allergology, and Neonatology, Hannover Medical School, Hannover, Germany.
Christine HappleDepartment of Paediatric Pneumology, Allergology, and Neonatology, Hannover Medical School, Hannover, Germany.
Alexandra JablonkaGerman Centre for Infection Research (DZIF), Partner Site Hannover-Brunswick, Braunschweig, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCurrently, health care systems worldwide are challenged with providing care to an increasing number of migrants, refugees, and displaced persons. In this article, we report on disease burden and drug prescription patterns in a large refugee cohort in Germany.

methodsWe conducted a cross-sectional study of anonymized medical records including demographic data, diagnoses, and drug prescriptions in two refugee reception centres between 2015 and 2019. Refugees and migrants received medical assistance exclusively through the on-site clinics. Thus, this study represents all medical visits of the housed residents.

resultsIn total, n = 15531 diagnoses from n = 4858 patients in a cohort of n = 10431 accommodated refugees were recorded. N = 11898 medications were prescribed. Overall, 29.8% of all refugees sought medical attention. Half of the patients were female (49.6%), the average age was 23.8 years (SD [standard deviation] 17.0, min 0, max 81), and 41.5% were minors (<18 years). Most patients had Middle Eastern or Northern African origin (63.9%). The largest proportion of diagnoses belonged to the ICD (International Statistical Classification of Diseases and Related Health Problems) category "R" (miscellaneous, 33.5%), followed by diseases of the respiratory system (category "J", 16.5%), or the musculoskeletal system (category "M", 7.1%). Non-steroidal anti-inflammatory drugs were most frequently prescribed.

conclusionsThis analysis in two large refugee centres in Germany shows that about one third of refugees seek medical attention upon initial arrival. Complaints are manifold, with a high prevalence of respiratory infections.

Indexed as

RefugeesTransients and MigrantsAdultCost of IllnessCross-Sectional StudiesFemaleGermanyHumansYoung Adult

Identifiers

PMID33643633
PMCPMC7897448

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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.