Evidence map›Paper›PMID 42230523›Full record

ArticleEuropean geriatric medicine2026

Evaluation of cardiovascular fall risk assessment and managment in Dutch fall clinics comparing current practice to guideline recommendations.

A C Pronk, R Schroten, L J Seppala, E P van Poelgeest, B A Damoiseaux-Volman, J A H R Claassen, F Mattace-Raso, S C de Ruiter, J O Daal, L A R Zwart and 4 more

Abstract readComparative Study
In one paragraph

Article in European geriatric medicine, 2026. 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

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

14 authors.

A C PronkInternal Medicine, Section of Geriatric Medicine, Amsterdam UMC Location University of Amsterdam, Meibergdreef 9, Amsterdam, The Netherlands.ORCID http://orcid.org/0000-0001-5154-2369
R SchrotenInternal Medicine, Section of Geriatric Medicine, Amsterdam UMC Location University of Amsterdam, Meibergdreef 9, Amsterdam, The Netherlands.
L J SeppalaInternal Medicine, Section of Geriatric Medicine, Amsterdam UMC Location University of Amsterdam, Meibergdreef 9, Amsterdam, The Netherlands.
E P van PoelgeestInternal Medicine, Section of Geriatric Medicine, Amsterdam UMC Location University of Amsterdam, Meibergdreef 9, Amsterdam, The Netherlands. e.p.vanpoelgeest@amsterdamumc.nl.ORCID http://orcid.org/0000-0002-2021-5602
B A Damoiseaux-VolmanAmsterdam Public Health, Aging and Later Life, Amsterdam, The Netherlands.
J A H R ClaassenDepartment of Geriatric Medicine, Radboudumc, Nijmegen, The Netherlands.
F Mattace-RasoDepartment of Internal Medicine, Division of Geriatrics, Erasmus MC University Medical Center, Rotterdam, The Netherlands.
S C de RuiterDepartment of Geriatric Medicine, Northwest Clinics, Alkmaar, The Netherlands.
J O DaalDepartment of Geriatric Medicine, Dijklander Hospital, Hoorn, The Netherlands.
L A R ZwartDepartment of Geriatric Medicine, Dijklander Hospital, Hoorn, The Netherlands.
T N BongersDepartment of Geriatric Medicine, Slingeland Hospital, Doetichem, The Netherlands.
G S SpronkDepartment of Geriatric Medicine, Slingeland Hospital, Doetichem, The Netherlands.
S M DriessenDepartment of Geriatric Medicine, Gelre Hospitals, Apeldoorn, The Netherlands.
N van der VeldeInternal Medicine, Section of Geriatric Medicine, Amsterdam UMC Location University of Amsterdam, Meibergdreef 9, Amsterdam, The Netherlands.

Funding

Amsterdams Universiteitsfonds 3021Amsterdams Universiteitsfonds 3549
6 · The paper itself

Abstract

backgroundCardiovascular disorders are important fall risk factors, especially in unexplained recurrent falls. According to (international) guidelines, a standard workup of cardiovascular fall risk factors is indicated; however, its implementations is lagging. This study aimed to map the daily practice of cardiovascular fall risk assessment and management in Dutch fall clinics, comparing guideline recommendations (work-as-imagined) with actual practice (work-as-done), and to identify barriers to implementation.

methodsThe functional resonance analysis method (FRAM) was used to visualize work-as-imagined and work-as-done. Input for work-as-imagined was the Dutch guideline on fall prevention, which follows the ESC syncope guideline recommendations where applicable. Work-as done and barriers for guideline implementation were derived from semi-structured interviews with Dutch fall clinic professionals.

resultsFourteen participants from eight fall clinics participated. Work-as-done related to the initial assessment of cardiovascular fall risk factors (e.g., ECG recording), was in line with work-as-imagined and implemented across the participating fall clinics. For the implementation of further cardiovascular assessments (e.g., head-up tilt testing), significant variability was observed across fall clinics, resulting in four different work-as-done FRAM models. The variations were mainly driven by the following barriers: unavailability of staff, gaps in knowledge, lack of expertise, and lack of resources.

conclusionThis study highlights important discrepancies between recommended cardiovascular fall risk assessment protocols and current practices in Dutch fall clinics. A structured care pathway could help standardize and optimize cardiovascular fall risk practices. Addressing the identified barriers to implementation and development in standardized care pathways could facilitate the implementation of the care pathway and optimize cardiovascular fall prevention practices in older adults.

Indexed as

Accidental FallsCardiovascular DiseasesPractice Guidelines as TopicAgedFemaleGuideline AdherenceHumansMaleNetherlandsRisk AssessmentRisk FactorsSyncopeAccidental fallsCardiovascular disordersFall clinicsGeriatricsOlder adults

Identifiers

PMID42230523
PMCPMC13562316

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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.