Evidence map›Paper›PMID 41335380›Full record

ArticleZeitschrift fur Gerontologie und Geriatrie2026

[Protection from violence for people in need of care : Practical findings and implications of the research project "Care as a risk"].

Johanna Erlbeck, Clara Ackermann

Abstract readEnglish Abstract
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In one paragraph

Article in Zeitschrift fur Gerontologie und Geriatrie, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

2 authors.

Johanna ErlbeckLandeskriminalamt, Polizei Berlin, Keithstr. 30, 10787, Berlin, Deutschland. Johanna.Erlbeck@Polizei.Berlin.de.
Clara AckermannLandeskriminalamt, Polizei Berlin, Keithstr. 30, 10787, Berlin, Deutschland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundViolence in caregiving settings is a complex and increasingly prevalent issue, rooted in both structural and individual factors. To date, systematic analyses of police responses to such cases have been largely absent.

objectiveThis study explores which risk factors and offense patterns are associated with abuse in care as well as the challenges faced by law enforcement agencies. The aim is to identify actionable strategies for improving the handling of violence in caregiving contexts. MATERIAL AND

methodsThe research is based on an analysis of 106 documented cases and 64 expert interviews across multiple disciplines. The findings were further discussed in interdisciplinary workshops to develop practical solutions for enhancing protection of care-dependent individuals. Various limitations reduce the significance and generalizability of the findings.

resultsMost victims were female (69%) with an average age of 80 years and equally represented in home and institutional care. In 73% of cases the perpetrators were professional caregivers. The offenses primarily involved physical violence and unlawful deprivation of liberty. The case dismissal rate was 89%, often due to limited testimonial capacity and insufficient legal documentation. Police procedures were optimized and the interdisciplinary network violence-free care was established.

conclusionKey insights of the network emphasize the need for cross-sectoral collaboration, ongoing awareness training and professional development. The network advocates clear reporting pathways, targeted protective services and structured case management for vulnerable care recipients.

Indexed as

CaregiversElder AbuseViolenceAgedAged, 80 and overFemaleGermanyHumansMaleMiddle AgedRisk FactorsElder abuseInteragency collaborationLaw enforcementPreventionSafeguarding systems

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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.