Evidence map›Paper›PMID 40210247›Full record

ArticleBMJ open quality2025

Identifying frail patients at the front door: a quality improvement project on improving identifying frailty and accuracy of Clinical Frailty Scale in the emergency department in an acute general hospital.

Yuhan Zhang, Antonio Cosimetti, Alex Montagu

Abstract read
In one paragraph

Article in BMJ open quality, 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

The trial behind it

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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.

  1. 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

3 authors.

Yuhan ZhangOxford University Hospitals NHS Foundation Trust, Oxford, UK yuhan.zhang@ouh.nhs.uk.ORCID http://orcid.org/0000-0003-3532-6708
Antonio CosimettiOxford University Hospitals NHS Foundation Trust, Oxford, UK.
Alex MontaguOxford University Hospitals NHS Foundation Trust, Oxford, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe rise in frail patients seeking care at emergency departments (ED) globally has led to an increased focus on improving the identification and care of frail patients on arrival in ED. The Clinical Frailty Scale (CFS) has been used in the ED to identify frail elderly patients and prompt the initiation of a comprehensive geriatric assessment. However, it has been noted that the CFS's accuracy was low, and training needs have been identified.

methodsTo address this, a quality improvement project was carried out using the PDSA (Plan, Do, Study and Act) cycle to enhance the accuracy of frailty identification at the front door. Standards for Quality Improvement Reporting Excellence guideline is followed to report.

interventionBased on the fishbone and driver diagram, a training programme was designed and delivered to the ED nurses in November 2023 (PDSA cycle 1) and from September to October 2024 (PDSA cycle 2). A lanyard card was developed to simplify and standardise the CFS scoring. This was disseminated to ED nurses along with 1:1 brief education in conjunction with other training activities.

resultsFollowing the training intervention, the correct identification of CFS 6 and above improved from a baseline of around 50% to around 60% after the first cycle and to over 70% after the second cycle. While the accuracy of CFS also improved to 40%, it remains to be seen whether this change is sustainable and not just a normal variation.

conclusionThis quality improvement project, using a lanyard card, in conjunction with brief teaching and other training methods, effectively increased the rate at which moderate to very severely frail frailty was identified and subsequently referred to frailty teams.

Indexed as

FrailtyGeriatric AssessmentAgedAged, 80 and overEmergency Service, HospitalFemaleFrail ElderlyHospitals, GeneralHumansMaleQuality ImprovementEducationEmergency departmentGeriatricsQuality improvement

Identifiers

PMID40210247
PMCPMC11987106

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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.