Evidence map›Paper›PMID 40230735›Full record

ArticleCureus2025

The Future of the Irish Nursing Home Landscape.

Isabel Ronan, Patrice Crowley, Nicola Cornally, Mohamad M Saab, David Murphy, Sabin Tabirca

Abstract read
In one paragraph

Article in Cureus, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

6 authors.

Isabel RonanSchool of Computer Science and Information Technology, University College Cork, Cork, IRL.
Patrice CrowleyCatherine McAuley School of Nursing and Midwifery, University College Cork, Cork, IRL.
Nicola CornallyCatherine McAuley School of Nursing and Midwifery, University College Cork, Cork, IRL.
Mohamad M SaabCatherine McAuley School of Nursing and Midwifery, University College Cork, Cork, IRL.
David MurphySchool of Computer Science and Information Technology, University College Cork, Cork, IRL.
Sabin TabircaSchool of Computer Science and Information Technology, University College Cork, Cork, IRL.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There is an increasing need to provide care for older adults as Ireland's population ages. We assess the current Irish nursing home landscape using public datasets and machine learning. We attempt to predict future nursing home needs in Ireland in the year 2050. We also analyse the geographical disparities that exist between different healthcare services in Ireland. Using publicly available data, we analyse nursing home deaths, bed-to-population ratios, and geographic disparities in healthcare accessibility. Furthermore, we use machine learning to forecast population growth in Ireland. We also use an interactive mapping tool to aid healthcare professionals and key stakeholders in understanding the available data and to plan for future resource allocation. We find a strong correlation between the population and the number of nursing home beds. We also find that there are significant geographic disparities between nursing homes, hospices, and hospitals in Ireland. We estimate that 1,252 out of 6,066 (20.64%) nursing home residents received specialist palliative care in 2021. We predict a population increase of approximately 785,695 people (72.6%) by 2050. Our mapping tool was helpful in directing analysis. There is a need for strategic expansion of the Irish nursing home sector and a focus on high-quality general palliative care in nursing homes.

Indexed as

ai and machine learningcomputational statisticsdata analysiselderly populationhospice and palliative careirelandnursing homespublic health informaticsregression analysistechnology development

Identifiers

PMID40230735
PMCPMC11995362

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.