Person-Centered Health Intervention Programs, Provided at Home to Older Adults with Multimorbidity and Their Caregivers: Protocol for a Systematic Review

• Autor(a) principal: Nascimento, Vânia
• Data de Publicação: 2023
• Outros Autores: Fonseca, César, Pinho, Lara, Lopes, Manuel
• Tipo de documento: Artigo
• Idioma: por
• Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
• Texto Completo: http://hdl.handle.net/10174/33417; https://doi.org/Nascimento, V., Fonseca, C., Pinho, L.G., Lopes, M.J. (2023). Person-Centered Health Intervention Programs, Provided at Home to Older Adults with Multimorbidity and Their Caregivers: Protocol for a Systematic Review. Journal of Personalized Medicine, 13, 27. https://doi.org/10.3390/jpm13010027; https://doi.org/10.3390/jpm13010027
• topic: patient-centered care; home care; older adults; caregivers

The WHO has been promoting the paradigm shift in health care towards person-centered care, considering this strategy as fundamental for the personalization of care, but globally, the implementation of person-centered health intervention programs is still in an early stage. Older adults have high morbidity rates, which are often precursors to functional dependence on informal caregivers. Person-centered health intervention programs may answer the vulnerability of older adults and their caregivers, but they are not yet intensively implemented. This systematic literature review aims to identify which person-centered health programs exist in-home settings for this population and show the health gains. Methods: A systematic review of the literature will be conducted in the following databases: PubMed, CINAHL, MedicLatina, Scopus, and MEDLINE. The search strategy will contain the following MesH terms or similar: “older adults”, “caregivers”, “home care”, and “patient-centered care.” Criteria inclusion: Person-centered health intervention programs performed to older adults and their caregivers’ in-home context; scientific articles from 2017 to 2022. For the extraction and synthesis, two independent reviewers will quality analyze the inclusion and exclusion criteria and the data quality analysis. Disagreements will be resolved by a third reviewer.