Author
Listed:
- Chukwu Okoye
- Luca Cuffaro
- Federico Enuele Pozzi
- ria Cristina Ferrara
- rianna NoaleMScNeuro
- Stefano Calciolari
- Davide Chicco
- Febo Cincotti
- Roberta Daini
- Alberto Finazzi
- Luca Francioso
- Francesca Gasparini
- Eleonora Pagan
- Patrizia Ribino
- Zaira RomeoNeuro
- Gessica Sala
- Vincenzo Solfrizzi
- Antonella Zambon
- Stefania ggiMD, Neuro
- Giuseppe Bellelli
- Carlo Ferrarese
- Spoke
- Alessandra Aloisi
- Ildebrando Appollonio
- Chiara Bazzini
- rio Alessandro Bochicchio
- tteo Bologna
- Elvira Brattico
- Giuseppe Bruno
- rtina Bulgari
- rco Canevelli
- Simonetta Capone
- Chiara Ceolin
- Ferdinando Chiaradonna
- Em Colarino
- Elisa Conti
- Andrea Corsonello
- Gabriella Cortelessa
- Lucilla Crudele
- Carlo Custodero
- Annaria De Luca
- rianna Delussi
- Claudia Di Napoli
- Vittorio Dibello
- tteo Franchi
- Diego Ganora
- Loreto Gesualdo
- Eris Goldin
- Alessandra Grossi
- Valeria Isella
- Roberta Lenti
- Alessandro Leone
- Sandro Locati
- Antonio Logrieco
- Giancarlo Logroscino
- Eleonora cchia
- Paola ntuano
- Azzurra ssimi
- Paolo tteini
- Giovanni Messina
- Luca Moretti
- Antonino Natalello
- Ivan Orlandi
- Giovanni Paragliola
- Giulia Paparella
- Sara Pegoraro
- Vito Pirrelli
- Nicola Antonio Adolfo Quaranta
- Giovanni Riccardi
- Daniele Rono
- Aurora Saibene
- Alessandro Sala
- Elisa Sciurti
- Serino Luca
- Pietro Siciliano
- Francesco Silanos
- Alessio Tamburrano
- Giorgia Tosi
- Alina Tratsevich
- Lucio Tremolizzo
- Paolo Villari
- Alberto Vezzoso
- Chiara Paola Zoia
Abstract
ObjectivesPreventing age-related complications is a critical priority for health systems. Within the Age-It program, Spoke 8 aims to evaluate scalable, multicomponent, technology-assisted interventions to prevent frailty and mitigate functional and cognitive decline in older adults across different care settings.MethodsSpoke 8 includes three clinical studies conducted in community, hospital, and long-term care settings, supported by cross-cutting work packages on digital infrastructure, technology development, and economic evaluation. The intervention model integrates physical, cognitive, nutritional, and psychosocial components, supported by digital tools, biorkers of aging, and a centralized data platform.ResultsThe project is expected to generate evidence on the effectiveness, feasibility, and cost-effectiveness of multidoin interventions implemented across diverse real-world settings, including community, hospital, and long-term care. Technology-assisted strategies—such as wearable sensors and digital cognitive tools—y enhance adherence and enable remote monitoring, while also supporting more personalized care delivery. The integration of artificial intelligence will facilitate the interpretation of complex clinical and biological data, improving risk stratification and the early identification of individuals most likely to benefit from targeted interventions. Together, these approaches y help reduce hospitalizations, delay functional decline, and promote aging in place.DiscussionThis initiative supports the transition toward more integrated and equitable care models for older adults. Through the implementation of scalable, person-centered interventions within routine services, the project offers policy-relevant strategies to address frailty and functional decline—contributing to the redesign of aging care in Italy and providing insights applicable across diverse health systems facing the challenges of population aging countries.
Suggested Citation
Chukwu Okoye & Luca Cuffaro & Federico Enuele Pozzi & ria Cristina Ferrara & rianna NoaleMScNeuro & Stefano Calciolari & Davide Chicco & Febo Cincotti & Roberta Daini & Alberto Finazzi & Luca Francios, 2025.
"Multicomponent interventions and technologies to reduce the burden of frailty, functional, and cognitive decline: insights from the Age-It Research Program,"
The Journals of Gerontology: Series B, The Gerontological Society of America, vol. 80(Supplemen), pages 180-188.
Handle:
RePEc:oup:geronb:v:80:y:2025:i:supplement_2:p:s180-s188.
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