Background: Non-pharmacological interventions are considered the first-line treatment for managing the behavioral and psychological symptoms of dementia. Given the heterogeneous characteristics of these symptoms, which vary for each individual and tend to fluctuate, a symptom-specific approach is necessary for providing individualized non-pharmacological interventions for people with dementia. However, clear guidelines regarding the appropriate types of interventions for individual symptoms or clusters of behavioral and psychological symptoms of dementia are lacking.
View Article and Find Full Text PDFNon-pharmacological interventions are considered the first-line treatment for behavioral and psychological symptoms of dementia (BPSD); however, traditional approaches have shown only small effect sizes. Mobile technology offers an opportunity to improve BPSD assessment and management in people living with dementia (PLWD). We aimed (1) to develop a mobile application (app) featuring a real-time BPSD diary, machine-learning-based BPSD prediction, and individualized non-pharmacological care programs, including therapeutic use of music and reminiscent content, and (2) to test its usability, acceptability, and preliminary efficacy among PLWD and caregivers.
View Article and Find Full Text PDFIntroduction: There are various non-pharmacological interventions for dementia care. However, healthcare providers continue to face challenges in determining the most suitable interventions for the behavioural and psychological symptoms of dementia (BPSD), which vary according to individuals. This umbrella review aims to identify and summarise the effective non-pharmacological interventions for each sub-symptom to provide individualised, evidence-based recommendations for clinical practice.
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