Machine learning-enabled behavioural and psychological symptoms of dementia management intervention for dementia caregivers: protocol for a hybrid factorial SMART-MRT trial.

ABSTRACT:

Background

Behavioural and psychological symptoms of dementia (BPSD) affect over 90% of people living with dementia and are a major contributor to stress and adverse health outcomes among family caregivers. Caregiver‑led behavioural management interventions based on the Antecedents-Behaviour-Consequences (ABC) framework are effective, yet their overall impact is modest. This may be due to the highly individualised and fluctuating nature of BPSD and insufficient adaptive support to sustain engagement. Mobile health interventions offer scalable support; however, engagement and adherence remain challenging. Recent advances in adaptive trial designs and machine‑learning methods offer opportunities to optimise interventions and deliver personalised just‑in‑time support.

Methods

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SUBMITTER: Cheung DSK 

PROVIDER: S-EPMC13651425 | biostudies-literature | 2026 Jul

REPOSITORIES: biostudies-literature