Evidence map›Paper›PMID 40246561›Full record

ArticleBMJ open2025

Development of FastFrail-a rapid frailty screening tool for medical calls: a development study based on cross-sectional data from an urgent care centre in Norway.

Isabel Sebjørnsen, Marit Stordal Bakken, Anette Hylen Ranhoff, Valborg Baste, Martine Nybakk Vedvik, Nora Advocaat Wigand, Christine Olsen Gulla

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Article in BMJ open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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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

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Isabel SebjørnsenHealth and Social Sciences, National Centre for Emergency Primary Health Care, NORCE Norwegian Research Centre, Bergen, Norway iseb@norceresearch.no.ORCID http://orcid.org/0009-0002-7139-5508
Marit Stordal BakkenHealth and Social Sciences, National Centre for Emergency Primary Health Care, NORCE Norwegian Research Centre, Bergen, Norway.
Anette Hylen RanhoffDepartment of Clinical Science, University of Bergen, Bergen, Norway.
Valborg BasteHealth and Social Sciences, National Centre for Emergency Primary Health Care, NORCE Norwegian Research Centre, Bergen, Norway.
Martine Nybakk VedvikUniversity of Bergen, Bergen, Norway.
Nora Advocaat WigandUniversity of Bergen, Bergen, Norway.
Christine Olsen GullaHealth and Social Sciences, National Centre for Emergency Primary Health Care, NORCE Norwegian Research Centre, Bergen, Norway.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo develop a rapid screening tool for the identification of frailty in medical calls and other out-of-hospital acute care services.

designDevelopment study based on cross-sectional data. A set of potential items were developed based on existing frailty tools and other relevant literature by a panel with geriatric and primary care expertise. The items and the Clinical Frailty Scale (CFS) were administered on a convenience sample of older urgent care patients. Further development of the tool was based on statistical analyses of this data material and final discussions in the panel.

settingUrgent care centre in Norway, data collected between January and August 2022.

participantsAll patients ≥70 years were eligible for inclusion, with the exception of patients triaged to the highest urgency level and patients not able to answer questions with no next of kin present. PRIMARY OUTCOME: Potential items associated with frailty by CFS, measured by explained variance (adjusted R

resultsNine potential items were developed and administered on 200 patients (59% female), of whom 48% were 70-79 years, 38% were 80-89 years and 14% were ≥90 years. The median CFS score was 4 (

conclusionsReceiving help weekly, being homebound and using a walking aid are strong indicators of frailty among urgent care patients. We developed a frailty screening tool for medical calls-FastFrail-consisting of three simple, binary questions (yes/no) on these aspects. We hypothesise that FastFrail can supplement traditional symptom-based triage and enable more accurate assessment of older adults calling for acute medical help. We intend to test the tool in clinical practice.

Indexed as

Frail ElderlyFrailtyGeriatric AssessmentMass ScreeningAgedAged, 80 and overAmbulatory Care FacilitiesCross-Sectional StudiesFemaleHumansMaleNorwayACCIDENT & EMERGENCY MEDICINEFrailtyGERIATRIC MEDICINEPrimary HealthcareTelemedicineTriage

Identifiers

PMID40246561
PMCPMC12007051

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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.