Evidence map›Paper›PMID 40317403›Full record

ArticleEuropean geriatric medicine2025

Evaluation of a nurse-led swallowing risk assessment tool in care-home residents: a prospective diagnostic accuracy study.

Patricia Heaney, Deborah Annis-Marley, William Gray, Louise Jones, Julia Scott, Miles D Witham

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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 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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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

1 citing paper in PubMed.

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4 · The record

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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.

Patricia HeaneyDepartment of Speech and Language Therapy, Northumbria Healthcare NHS Foundation Trust, North Shields, UK. patricia.heaney@northumbria-healthcare.nhs.uk.ORCID http://orcid.org/0009-0003-3514-7870
Deborah Annis-MarleyDepartment of Speech and Language Therapy, Northumbria Healthcare NHS Foundation Trust, North Shields, UK.
William GrayDepartment of Innovation Research and Development, Northumbria Healthcare NHS Foundation Trust, North Shields, UK.
Louise JonesDepartment of Innovation Research and Development, Northumbria Healthcare NHS Foundation Trust, North Shields, UK.
Julia ScottDepartment of Speech and Language Therapy, Northumbria Healthcare NHS Foundation Trust, North Shields, UK.
Miles D WithamAGE Research Group, Translational and Clinical Research Institute, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo develop and test a screening tool enabling care-home staff to identify residents with high-risk swallowing problems (dysphagia).

methodsThe Nurse Dysphagia Screening Tool (NDST) was developed via an iterative, participatory process. A diagnostic evaluation study was performed in North-East of England care homes. We compared NDST with gold-standard speech and language therapist swallowing assessment risk category to derive sensitivity, specificity, and positive and negative predictive values.

resultsOne hundred and seventy two residents (101 women) were included from 14 care homes, mean age 82.1 years (SD 10.6). Residents known to SLT, or with Percutaneous Endoscopic Gastrostomy (PEG) were excluded. 18/172 (11%) had high-risk swallow by gold-standard assessment. NDST was completed successfully on all participants. Sensitivity, specificity, and positive and negative predictive values were 72%, 92%, 50%, and 97%, respectively. Sensitivity was higher (100%) in high-volume care homes and for those recruited late in the study, suggesting a learning curve.

conclusionNDST requires additional testing but can potentially identify high-risk dysphagia in care homes.

Indexed as

Deglutition DisordersGeriatric AssessmentNursing HomesAgedAged, 80 and overEnglandFemaleHomes for the AgedHumansMalePredictive Value of TestsProspective StudiesRisk AssessmentSensitivity and SpecificityCare homesDysphagiaScreeningSpeech and language therapySwallowing

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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.