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Individualized CARE for Older Persons with Complex Chronic Conditions at home and in nursing homes

Descrizione del progetto

DEENESFRITPL

Nuovo strumento elettronico per aiutare gli operatori sanitari a curare gli anziani affetti da patologie croniche complesse

I pazienti più anziani affetti da patologie croniche complesse si trovano principalmente in condizioni di assistenza a domicilio e in case di cura. Molte volte, gli operatori sanitari in questi contesti non dispongono di un adeguato supporto alle decisioni. Alla luce di ciò, il progetto I-CARE4OLD, finanziato dall’UE, svilupperà e testerà un supporto decisionale di prossima generazione utilizzando dati di assistenza di routine di alta qualità, standardizzati a livello internazionale, basati su InterRAI, uno strumento completo di valutazione su piattaforma elettronica. Nello specifico, il consorzio internazionale multidisciplinare del progetto ha raccolto dati longitudinali relativi a 52 milioni di anziani sia destinatari di assistenza domiciliare che residenti in case di cura, provenienti da 8 paesi, comprese valutazioni complete affidabili, valide e armonizzate di capacità funzionali, malattie e trattamenti. L’attenzione si è concentrata sulla previsione dei risultati e sull’impatto dei trattamenti.

Obiettivo

BACKGROUND
Optimal care for older patients with complex chronic conditions (CCC) is challenging. Not only do older patients with CCC present with multiple conditions and functional impairments, these often interact with each other, as well as with their treatments.
Patients with CCC are concentrated in home care and nursing home settings. Professionals working in these settings often lack appropriate decision support that mirrors the medical and functional complexity of these persons.
AIM
To improve prognoses and estimation of treatment impact for older care recipients with CCC in home care and nursing homes settings, and develop, validate, and test next generation individualised decision support.
IMPACT
Better informed decision making for clinical management of older care recipients with CCC in home care and nursing homes, through (1) high quality internationally validated predictive algorithms on disease trajectories and treatment outcomes; (2) a multi-nationally tested e-platform for health professionals to receive predictive scenarios on course and treatment outcomes of newly assessed care recipients at point of care; and (3) dissemination among health professionals working in nursing homes and home care.
APPROACH
We collated longitudinal data from 52 million older recipients of home care and nursing home care from eight countries including (1) highly reliable, valid and harmonised comprehensive assessments of functional capacities, diseases, and treatments, linked with (2) administrative repositories on mortality and care use. We develop and validate decision support algorithms using a variety of techniques including machine learning to better predict (i) outcomes (eg death, acute admissions, quality of life) and the modifying impact of (ii) pharmacological and (iii) non-pharmacological treatments. We co-create decision support output with health professionals and patients and pilot it's applicability at point of care with an e-platform.

Campo scientifico

Parole chiave

Programma(i)

Argomento(i)

Invito a presentare proposte

H2020-SC1-BHC-2018-2020

Vedi altri progetti per questo bando

Bando secondario

H2020-SC1-2020-Single-Stage-RTD

Meccanismo di finanziamento

RIA - Research and Innovation action

Coordinatore

STICHTING AMSTERDAM UMC
Contribution nette de l'UE
€ 999 155,00
Indirizzo
DE BOELELAAN 1117
1081 HV Amsterdam
Paesi Bassi

Mostra sulla mappa
Regione
West-Nederland Noord-Holland Groot-Amsterdam
Tipo di attività
Research Organisations
Collegamenti
Costo totale
€ 999 155,00

Partecipanti (13)

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Ultimo aggiornamento: 2 Aprile 2024

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Permalink: https://cordis.europa.eu/project/id/965341/it

European Union, 2024