ResiVITALIA: Predicting the health trajectories of older people living in care homes

This study will analyse the potential of artificial intelligence (AI) algorithms to identify predictive factors of clinical, functional and cognitive decline in a representative sample of older people living in residential care homes in Gipuzkoa.

The hypothesis is that AI can anticipate the progression of these declines, enabling early intervention and improving quality of life.

The study will be conducted using a retrospective longitudinal design in Matia Fundazioa nursing homes, analysing data from around 5,000 people over the age of 65 admitted since 2007.

The objectives include the design of predictive models, the stratification of risk groups, and the evaluation of specific pharmacological and non-pharmacological interventions.

Health outcome variables such as survival, hospitalisations, emergency room visits, changes in functionality, cognitive function, psychobehavioural symptoms and frailty assessed using the Comprehensive Geriatric Assessment (CGA) and clinical scales will be used.

This approach aims to provide a basis for personalising care and optimising resources through the analysis of longitudinal data in this population.

OBJECTIVES:

Main objective: To analyse which factors predict clinical, functional and/or cognitive decline in people living in residential care homes, using artificial intelligence (AI) algorithms.

Secondary objectives:

• To design predictive models that facilitate the identification of people ‘at risk’.
• To stratify groups with similar characteristics that may eventually benefit from specific intervention programmes.
• To analyse the effects of specific pharmacological and non-pharmacological interventions on clinical, functional and/or cognitive decline in older people.
• To compare results and risk factors between care units and between centres with different organisational characteristics (e.g. care model).
• To study the predictive value of Comprehensive Geriatric Assessment (CGA) scales.

Funding:

The project is being managed within the ‘GIPUZKOA QUANTUM’ call for proposals of the Provincial Council of Gipuzkoa, link here.

Ethical aspects:

This study complies with the principles set out in the Declaration of Helsinki and the rules of good clinical practice. Throughout the study, Organic Law 3/2018 on the Protection of Personal Data and the guarantee of digital rights will be complied with.

* If you do not want your data to be processed in the study, you can exercise your right to object by sending an email to dpd@matia.eus.