Predicting informal dementia caregivers’ desire to institutionalize through mining data from an eHealth platform
This study distilled a comprehensive range of modifiable and non-modifiable variables into a simplified, interpretable, and accurate model, particularly useful at identifying caregivers with actual DI. Considering the nature of variables within the prediction rules, this model holds promise for application to other existing datasets and as a proxy for actual institutionalization. Predicting the institutional placement of PwD is crucial for intervening on modifiable factors as caregiver burden, and for care planning and financing.
Authors
- Alberto Freitas (ORCID: https://orcid.org/0000-0003-2113-9653)
- Óscar Ribeiro (ORCID: https://orcid.org/0000-0003-4740-7951)
- Ana Rita Ferreira (ORCID: https://orcid.org/0000-0002-0178-8376)
- Sara Alves (ORCID: https://orcid.org/0000-0003-4883-0479)
- Soraia Teles (ORCID: https://orcid.org/0000-0002-3121-4189)
- Constança Paúl (ORCID: https://orcid.org/0000-0002-9214-7805)
- João Viana
Institutions
- Universidade Federal da Paraíba (BR)
- Universidade do Porto (PT)
- Decision Sciences (United States) (US)
- Centre for Health Technology and Services Research (PT)
- University of Aveiro (PT)
Publication Details
- Journal
- BMC Geriatrics
- Published
- 2024-08-30
- DOI
- https://doi.org/10.1186/s12877-024-05128-5
- Citations
- 2
- Primary Topic
- Dementia and Cognitive Impairment Research
- Type
- article
- Field-Weighted Citation Impact
- 0.77
Funders
- World Health Organization
- University of Pittsburgh
- Fundação para a Ciência e a Tecnologia