Evidence map›Paper›PMID 42337731›Full record

Trial reportBMC geriatrics2026

Pragmatic cluster-randomised trial of a multidomain intervention to prevent hospital-acquired disability: the OPTIMAge-IT study protocol.

Chukwuma Okoye, Maria Cristina Ferrara, Beatrice Tonus, Wenxiang Guo, Elena Page, Eleonora Cucini, Martina Marelli, Alberto Finazzi, Elena Pinardi, Filippo Fimognari and 18 more

Registry-linked trialAbstract readMulticenter StudyPragmatic Clinical TrialRandomized Controlled Trial
In one paragraph

Trial report in BMC geriatrics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06611228 (Optimizing Prevention of Hospital-acquired Disability Through Integrated Multidomain Interventions), which is not on this map. Not yet cited in PubMed.

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

NCT06611228 narecruitingnot on this map

Optimizing Prevention of Hospital-acquired Disability Through Integrated Multidomain Interventions: the Age-IT Project

TypeinterventionalSponsorUniversity of Milano BicoccaRan2024 to 2027Enrolled288ConditionsFrailty Syndrome, AgingArmsMultidomain Interventions
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

28 authors.

Chukwuma Okoye *School of Medicine and Surgery, University of Milano-Bicocca, Via Cadore, 48, Monza, 20900, Italy.
Maria Cristina Ferrara *School of Medicine and Surgery, University of Milano-Bicocca, Via Cadore, 48, Monza, 20900, Italy. mariacristina.ferrara@unimib.it.ORCID 0000-0002-7971-5943
Beatrice TonusSchool of Medicine and Surgery, University of Milano-Bicocca, Via Cadore, 48, Monza, 20900, Italy.
Wenxiang GuoSchool of Medicine and Surgery, University of Milano-Bicocca, Via Cadore, 48, Monza, 20900, Italy.
Elena PageSchool of Medicine and Surgery, University of Milano-Bicocca, Via Cadore, 48, Monza, 20900, Italy.
Eleonora CuciniSchool of Medicine and Surgery, University of Milano-Bicocca, Via Cadore, 48, Monza, 20900, Italy.
Martina MarelliSchool of Medicine and Surgery, University of Milano-Bicocca, Via Cadore, 48, Monza, 20900, Italy.
Alberto FinazziSchool of Medicine and Surgery, University of Milano-Bicocca, Via Cadore, 48, Monza, 20900, Italy.
Elena PinardiSchool of Medicine and Surgery, University of Milano-Bicocca, Via Cadore, 48, Monza, 20900, Italy.
Filippo FimognariAcute Geriatric Unit, Medical Department, Azienda Ospedaliera Di Cosenza, Cosenza, Italy.
Carmen RubertoAzienda Ospedaliera Pugliese-Ciaccio, Catanzaro, Italy.
Paola PalestiniSchool of Medicine and Surgery, University of Milano-Bicocca, Via Cadore, 48, Monza, 20900, Italy.
Roberta DainiDepartment of Psychology, University of Milano-Bicocca, Milan, Italy.
Francesca GaspariniDepartment of Informatics, Systems and Communication, University of Milano-Bicocca, Milan, Italy.
Stefano CalciolariDepartment of Economics, Management and Statistics, University of Milano-Bicocca, Milan, Italy.
Eleonora PaganDepartment of Statistics and Quantitative Methods, University of Milano-Bicocca, Milan, Italy.
Luca CuffaroSchool of Medicine and Surgery, University of Milano-Bicocca, Via Cadore, 48, Monza, 20900, Italy.
Federico Emanuele PozziMilan Centre for Neuroscience (NeuroMI), Milan, Italy.
Gessica SalaSchool of Medicine and Surgery, University of Milano-Bicocca, Via Cadore, 48, Monza, 20900, Italy.
Andrea CorsonelloItalian National Research Center On Aging (IRCCS INRCA), Cosenza, Italy.
Fabio GueriniDepartment of Geriatric Medicine, Sant'Anna Hospital, Brescia, Italy.
Agostino VirdisGeriatrics Unit, Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy.
Alessandra MarengoniDepartment of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy.
Andrea UngarGeriatric Acute Care and Cardio-Geriatric Unit, Department of Clinical and Experimental Medicine, University of Florence and Careggi Hospital, Florence, Italy.
Antonella ZambonDepartment of Statistics and Quantitative Methods, University of Milano-Bicocca, Milan, Italy.
Carlo FerrareseSchool of Medicine and Surgery, University of Milano-Bicocca, Via Cadore, 48, Monza, 20900, Italy.
Giuseppe BellelliSchool of Medicine and Surgery, University of Milano-Bicocca, Via Cadore, 48, Monza, 20900, Italy.
OPTIMAge-IT Study group

Funding

Next Generation EU, in the context of the National Recovery and Resilience Plan, Investment PE8 - Project Age-It: "Ageing Well in an Ageing Society" DM 1557 11.10.2022
6 · The paper itself

Abstract

backgroundHospitalisation frequently leads to hospital-acquired disability in older adults, with subsequent functional decline and loss of independence. However, the potential role of multidomain interventions (MDIs) integrating physical, nutritional and cognitive components, supported by digital technologies, remains largely unexplored in the acute care setting. OPTIMAge-IT therefore aims to evaluate the effect of a technology-supported MDI on motor function at hospital discharge and its feasibility in the post-discharge phase among frail older adults.

methodsOPTIMAge-IT is an ongoing, pragmatic, multicentre, cluster-randomised controlled trial conducted in eight Italian Acute Geriatric Units. Adults aged ≥ 70 years admitted from the Emergency Department with mild-to-moderate frailty are enrolled consecutively and allocated by centre to usual care or a structured, multidisciplinary, technology-supported MDI. The intervention starts after clinical stabilisation and continues for 12 weeks post-discharge, supported by a tracker and a tablet. The MDI includes Vivifrail-based physical exercise, computerised cognitive training (BrainHQ), nutritional counselling, health education, medication review, and promotion of social engagement. The primary endpoint is change in Short Physical Performance Battery at hospital discharge. Secondary endpoints include feasibility of the intervention and its home continuation (adherence, usability and retention), as well as the effect of the MDI on in-hospital and post-discharge outcomes. Follow-up assessments are performed at 3 and 6 months in the intervention arm and at 6 months in the control arm; blood biomarkers are collected at discharge and at 6 months. DISCUSSION: OPTIMAge-IT will provide evidence on the feasibility and clinical value of a technology-supported MDI to prevent hospital-acquired disability and promote functional status in frail older adults. Findings may inform the development of scalable, person-centred post-hospital care models.

trial registrationNCT06611228 ( https://clinicaltrials.gov/study/NCT06611228 ; 2025-01-08).

Indexed as

Frail ElderlyFrailtyHospitalizationIatrogenic DiseaseAgedAged, 80 and overCognitive TrainingFemaleHumansItalyMalePatient DischargeComprehensive Geriatric AssessmentFrailtyHospital-Acquired DisabilityMultidomain interventionsTelemedicine

Identifiers

PMID42337731
PMCPMC13543478

What Socratic holds

Textmetadata
Read underepoch 390

Registered trials

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 Socratic graph.