Evidence map›Paper›PMID 40580280›Full record

ArticleEuropean geriatric medicine2025

Delirium in nursing homes and long-term care facilities: findings of a scoping review of detection tools.

Irene Mansutti, Chiara Muzzana, Vanessa Vater, Pia Urfer Dettwiler, Alvisa Palese, Dietmar Ausserhofer, Wolfgang Hasemann

Abstract readScoping Review
In one paragraph

Article in European geriatric medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
–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

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Bedside EEG for rapid diagnosis of delirium.Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics · 2026
    Review
  5. 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

7 authors.

Irene MansuttiNursing Science, Department of Medicine, University of Udine, Udine, Italy.ORCID http://orcid.org/0000-0003-3504-4866
Chiara MuzzanaClaudiana Research, College of Healthcare-Professions Claudiana, Bolzano-Bozen, Italy.ORCID http://orcid.org/0000-0002-1218-5191
Vanessa VaterNursing Research, University Hospital of Frankfurt, Frankfurt, Germany.ORCID http://orcid.org/0000-0002-7010-4687
Pia Urfer DettwilerInstitute of Nursing Science, University of Basel, Basel, Switzerland.ORCID http://orcid.org/0000-0002-3232-6414
Alvisa PaleseNursing Science, Department of Medicine, University of Udine, Udine, Italy.ORCID http://orcid.org/0000-0002-3508-844X
Dietmar AusserhoferClaudiana Research, College of Healthcare-Professions Claudiana, Bolzano-Bozen, Italy.ORCID http://orcid.org/0000-0002-0319-4766
Wolfgang HasemannInstitute of Nursing Science, University of Basel, Basel, Switzerland. w.hasemann@unibas.ch.ORCID http://orcid.org/0000-0003-2417-3785

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe detection of delirium among residents in nursing homes (NH) and long-term care (LTC) facilities remains challenging due to overlapping symptoms with dementia, limited staff training, and variability in assessment tools. This scoping review aimed to identify delirium detection tools and their properties as used for research purposes in these settings.

methodsThe methodology was guided by Arksey and O'Malley and Levac et al. Medline, Embase, CINAHL, PsycINFO, Cochrane Database of Systematic Reviews, and Cochrane Central Register of Controlled Trials were searched for original research studies.

resultsA total of 58 studies met the inclusion criteria, with most conducted in the USA (37.9%) and Europe. We identified 25 delirium detection tools, with the Confusion Assessment Method long form (43.1%), the Neelon and Champagne Confusion Scale (10.3%), the Nursing Home Confusion Assessment Method (10.3%), the short Confusion Assessment Method and its modifications (8.6%), the Delirium Index (6.8%), the Delirium Rating Scale-Revised-98 (6.8%), and the 4A's Test (5.1%) as the most frequently used. Only 14 tools have undergone validity and reliability testing in NH/LTC settings, with the Delirium Observation Screening Scale showing the highest diagnostic accuracy. Ten tools showed full concordance regarding the three delirium domains: cognitive domain, higher-level thinking domain, and circadian domain. The Delirium Diagnostic Tool-Provisional (DDT-Pro) required no more than three items. DISCUSSION: This review highlights the lack of standardized delirium detection in NH/LTC settings. Future research should focus on providing evidence based on validity and reliability of existing tools, integrating delirium screening and assessment into routine care as part of delirium prevention and management, and training NH/LTC staff.

Indexed as

DeliriumGeriatric AssessmentLong-Term CareNursing HomesAgedHumansDeliriumDiagnosisDiagnostic techniques and proceduresInstrumentsLong-term careNeurocognitive disordersNursing homesPsychometricsToolsValidation

Identifiers

PMID40580280
PMCPMC12743713

What OpenQuestion holds

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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.