Evidence map›Paper›PMID 41654798›Full record

ArticleBMC public health2026

COVID-19 infections in German long-term care facilities: a descriptive three-level analysis using claims and infection statistics data from October 2020 to March 2021.

Raphael Kohl, Kathrin Jürchott, Christian Hering, Annabell Gangnus, Elisabeth Steinhagen-Thiessen, Jan Paul Heisig, Adelheid Kuhlmey, Antje Schwinger, Paul Gellert

Abstract read
In one paragraph

Article in BMC public health, 2026. 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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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

9 authors.

Raphael KohlInstitute of Medical Sociology and Rehabilitation Science, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Charitéplatz 1, 10117, Berlin, Germany. raphael.kohl@charite.de.ORCID http://orcid.org/0000-0001-8009-1640
Kathrin JürchottWIdO - AOK Research Institute, Berlin, Germany.
Christian HeringInstitute of Medical Sociology and Rehabilitation Science, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Charitéplatz 1, 10117, Berlin, Germany.ORCID http://orcid.org/0000-0002-1259-4294
Annabell GangnusInstitute of Medical Sociology and Rehabilitation Science, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Charitéplatz 1, 10117, Berlin, Germany.
Elisabeth Steinhagen-ThiessenDeparment of Endocrinology, Diabetes and Metabolism, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Charitéplatz 1, 10117, Berlin, Germany.
Jan Paul HeisigWZB Berlin Social Science Center, Berlin, Germany.ORCID http://orcid.org/0000-0001-8228-1907
Adelheid KuhlmeyInstitute of Medical Sociology and Rehabilitation Science, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Charitéplatz 1, 10117, Berlin, Germany.ORCID http://orcid.org/0000-0003-4088-4675
Antje SchwingerWIdO - AOK Research Institute, Berlin, Germany.
Paul GellertInstitute of Medical Sociology and Rehabilitation Science, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Charitéplatz 1, 10117, Berlin, Germany.ORCID http://orcid.org/0000-0001-7492-7210

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAlthough many studies have investigated COVID-19 outbreaks in long-term care facilities (LTCFs), evidence that combines multiple clustered levels is scarce. We aimed to describe individual, LTCF, and regional-level factors associated with COVID-19 infections.

methodsWe conducted a nationwide study using insurance claims data from Germany between 1st October 2020 and 31st March 2021. The sample comprised 284,186 residents over 60 years in 9,869 LTCFs across all of Germany's 400 districts. We used multilevel logistic regression to model associations between individual, LTCF, and district-level factors, and the probability of a COVID-19 infection.

resultsA total of 44,042 (15.5%) COVID-19 infections were recorded during the study period. On the individual level, male sex (OR 1.15; 95% CI 1.12-1.18), dementia (OR 1.09; CI 1.06-1.11), medium-severe care dependency level 3 and 4 (OR 1.17; CI 1.12-1.22 / OR 1.21; CI 1.16-1.26) were associated with greater risk of infection. At the LTCF level, infection risks increased with the mean age of residents (OR 1.09; CI 1.03-1.15) and higher resident numbers (OR 1.20; CI 1.14-1.27). On the district level, a higher proportion of public LTCFs was associated with lower infection risks (OR 0.90; CI 0.84-0.97), while a higher mean number of residents (OR 1.16; CI 1.05-1.28), and the district-level SARS-CoV-2 incidence rate among the general population (OR 1.54; CI 1.41-1.67) was associated with higher risks. A cross-level interaction between facility size and COVID-19 prevalence was not significant (p > 0.5).

conclusionWe found evidence of individual, facility, and regional levels factors associated with COVID-19 infections among older adults in LTCFs. Future measures to combat infections, outbreaks, and pandemics should take an orchestrated multilevel approach.

Indexed as

COVID-19Long-Term CareNursing HomesAgedAged, 80 and overFemaleGermanyHumansMaleMiddle AgedNursing Home ResidentsRisk FactorsContextual effectsCOVID-19Long-term care facilitiesNursing homesSARS-CoV-2

Identifiers

PMID41654798
PMCPMC12930546

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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.