Evidence map›Paper›PMID 39585525›Full record

ArticleThe European journal of health economics : HEPAC : health economics in prevention and care2025

Regional variation in the utilization of nursing home care in Germany.

Annika Herr, Maximilian Lückemann, Amela Saric-Babin

Abstract read
In one paragraph

Article in The European journal of health economics : HEPAC : health economics in prevention and care, 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.

  1. Article
  2. Personnel shortages and the provision of long-term care: an empirical analysis of German nursing homes.The European journal of health economics : HEPAC : health economics in prevention and care · 2025
    Article
  3. Article
  4. Article
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

3 authors.

Annika HerrInstitute of Health Economics (IHE), Leibniz Universität Hannover, CHERH Und CINCH, Königsworther Platz 1, 30167, Hannover, Germany. annika.herr@ihe.uni-hannover.de.ORCID http://orcid.org/0000-0001-5479-0093
Maximilian LückemannInstitute of Health Economics (IHE), Leibniz Universität Hannover, CHERH Und CINCH, Königsworther Platz 1, 30167, Hannover, Germany.ORCID http://orcid.org/0000-0003-3954-3080
Amela Saric-Babin, Frankfurt, Germany.

Funding

Bundesministerium für Bildung und Forschung 01EH1102ABundesministerium für Bildung und Forschung 01EH1602BDeutsche Forschungsgemeinschaft HE 6825/3-1
6 · The paper itself

Abstract

Approximately 32 percent of individuals aged over 64 years old, with care needs, are residing in nursing homes in Germany. However, this percentage exhibits significant regional disparities, ranging from under 15 percent in certain counties to over 50 percent in others. The purpose of this study is to elucidate the underlying factors explaining this regional variation in nursing home utilization. We employed comprehensive administrative data encompassing the entire elderly care-dependent population and all nursing homes. Our analytical approach involves the use of linear regression models at the county level, accounting for an extensive array of control variables and fixed effects. Additionally, we analyzed regional dependencies by applying spatial lag models. In summary, our model successfully predicts up to 73 percent of the observed regional variation in nursing home utilization. Key factors include care needs, the presence of informal care support and the supply of professional care. Spatial dependencies can be detected but exhibit a minor influence on these variations controlling for care needs. Noteworthy, enabling factors, such as a region's wealth or rurality, have a very limited impact in a country with a generous social insurance system that covers care for those with limited financial resources.

Indexed as

Homes for the AgedNursing HomesAgedAged, 80 and overFemaleGermanyHumansLinear ModelsMaleMiddle AgedSocioeconomic FactorsLong-term careNursing homeRegional variationSpatial panel data models

Identifiers

PMID39585525
PMCPMC12204949

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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.