Assessing technologies in dementia care: A conceptual health-economic model

TL;DR

This paper introduces a new model to evaluate how dementia care technologies affect quality of life and care use over time.

Contribution

A novel health-economic model is proposed to assess the long-term impact of dementia care technologies.

Findings

A Markov state-transition model was conceptualized to simulate dementia progression and care settings.

The model incorporates surrogate outcomes like functional status and caregiver burden to estimate long-term effects.

The framework supports early assessment of assistive technologies beyond limited trial data.

Abstract

Technologies such as assistive devices and social robots show promise in supporting people with dementia and their caregivers. However, their long-term cost-effectiveness remains unclear, and existing health-economic models are limited in capturing the relevant outcomes.

This study aims to conceptualize a health-economic model to assess the potential impact of care technologies in dementia care on lifetime quality of life and care use.

We summarized an impact pathway of three care technologies and conceptualized a health-economic model to estimate the long-term impact on quality of life and care use, drawing on literature and multidisciplinary expert input.

We conceptualized a cohort-based Markov state-transition model simulating states of dementia severity progression (mild, moderate, severe), care setting transitions (no formal care, home care, nursing home), and mortality. Intervention effects are modeled through surrogate outcomes such as functional status and caregiver burden associated to care transitions and quality of life.

This model offers a framework for early health technology assessment of assistive technologies in dementia, supporting extrapolation of effects beyond limited trial data. Future work should focus on developing and operationalizing this model, applying it to establish the value of dementia care technologies.

Figures