Evidence map›Paper›PMID 41420241›Full record

Trial reportTrials2025

Impact of a two-phase robotic-assisted and home-based training program on falls and fall risk in older adults: a multicenter randomized controlled trial.

Eunyoung Kwag, Alice De Luca, Giorgia Marchesi, Valentina Squeri, Philipp Ramm, Martin Hochheim, Max Wunderlich, Wiebren Zijlstra, Tobias Morat

Abstract readRandomized Controlled TrialMulticenter Study
In one paragraph

Trial report in Trials, 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

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

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

9 authors.

Eunyoung KwagInstitute of Movement and Sport Gerontology, German Sport University (GSU) Cologne, Am Sportpark Muengersdorf 6, Cologne, 50933, Germany.
Alice De LucaMovendo Technology (MT), Via Bombrini 13/10, Genoa, 16149, Italy.
Giorgia MarchesiMovendo Technology (MT), Via Bombrini 13/10, Genoa, 16149, Italy.
Valentina SqueriMovendo Technology (MT), Via Bombrini 13/10, Genoa, 16149, Italy.
Philipp RammGenerali Health Solutions GmbH (GHS), Hansaring 40-50, Cologne, 50670, Germany.
Martin HochheimGenerali Health Solutions GmbH (GHS), Hansaring 40-50, Cologne, 50670, Germany.
Max WunderlichGenerali Health Solutions GmbH (GHS), Hansaring 40-50, Cologne, 50670, Germany.
Wiebren ZijlstraInstitute of Movement and Sport Gerontology, German Sport University (GSU) Cologne, Am Sportpark Muengersdorf 6, Cologne, 50933, Germany.
Tobias MoratInstitute of Movement and Sport Gerontology, German Sport University (GSU) Cologne, Am Sportpark Muengersdorf 6, Cologne, 50933, Germany. t.morat@dshs-koeln.de.ORCID http://orcid.org/0000-0002-7101-7040

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundFalls in older adults represent a significant health risk, and technology-supported interventions have emerged as a potential training solution to reduce fall risk. However, the effectiveness and applicability of such interventions require further evaluation. This study aimed to assess the impact of a novel technology-supported fall prevention program on fall incidence, fall risk, acceptability, and feasibility in community-dwelling older adults.

methodsIn this multicenter randomized controlled trial, 292 older adults (aged ≥ 65 years) were randomly assigned at T

resultsA total of 172 participants finished the study. After completing the intervention period and the 1-year follow-up, the CTR group demonstrated significant increases in both the total number of falls and the number of participants who experienced a fall (PEF) compared to baseline, whereas the INT group showed no significant changes. At follow-up, the incidence rate of falls did not differ significantly between groups, but the risk ratio of PEF was significantly higher in the CTR group after adjusting for baseline values. A significant time × group interaction was observed for the Silver Index, but not for the TUG. Adherence rates were high for both the technology-supported (83.6%) and home-based training (87.7%), with both phases well accepted by the participants.

conclusionsThe two-phase technology-supported intervention demonstrated a potential for reducing falls and PEF, although there was no statistically significant difference between the two groups. The intervention was well received and demonstrated feasibility, indicating the potential for future implementation. Further research is required to investigate the cost-effectiveness of such programs, particularly in populations of older adults at elevated risk of falls.

trial registrationDRKS00025897. Registered on August 16, 2021.

Indexed as

Accidental FallsExercise TherapyRoboticsAgedAged, 80 and overAge FactorsFeasibility StudiesFemaleHumansIncidenceIndependent LivingMaleRisk FactorsTime FactorsTreatment Outcome

Identifiers

PMID41420241
PMCPMC12831356

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.