Evidence map›Paper›PMID 40340654›Full record

ArticleBMC geriatrics2025

Social networks of neighbourhood inhabitants, residents of a care facility, and nursing staff: a case study in two long-term care facilities in the Netherlands.

Adriana P A van Beek, Suzanne Portegijs, Peter P Groenewegen, Martine W J Huygens, Beate G M Völker

Abstract readMulticenter Study
In one paragraph

Article in BMC geriatrics, 2025. 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
–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

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

5 authors.

Adriana P A van BeekNetherlands Institute for Healthcare Services Research (Nivel), Utrecht, The Netherlands. s.vanbeek@nivel.nl.
Suzanne PortegijsNetherlands Institute for Healthcare Services Research (Nivel), Utrecht, The Netherlands.
Peter P GroenewegenNetherlands Institute for Healthcare Services Research (Nivel), Utrecht, The Netherlands.
Martine W J HuygensNetherlands Institute for Healthcare Services Research (Nivel), Utrecht, The Netherlands.
Beate G M VölkerNetherlands Institute for the Study of Crime and Law Enforcement (NSCR), Amsterdam, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe pressure on long-term care (LTC) facilities, because of population ageing and personnel shortages, may be relieved by using the social network resources that are already available to the facility. The aim of this study is to give insight in existing social networks and relationships between residents and their family members, care staff and persons in the local communities of nursing homes.

methodsIn this paper we describe these social networks and the relationships of which they consist in two nursing homes in the Netherlands, thereby illustrating the social capital of both facilities.

resultsThe results show there are multiple direct and indirect relationships between nursing staff, family members of residents and inhabitants of the neighbourhood.

conclusionsAlthough it may be difficult for residents with dementia to maintain their social networks as part of their illness, there are numerous ties that attest to the social roles of persons with dementia in the community. These ties can be used to provide person-centred care, but are also an important resource in finding and retaining personnel and volunteers.

Indexed as

Long-Term CareNursing HomesNursing StaffResidence CharacteristicsSocial SupportAgedAged, 80 and overDementiaFemaleHumansMaleNetherlandsCommunity resourcesDementiaLong-term careSocial networks

Identifiers

PMID40340654
PMCPMC12060523

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Registered trials

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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.