Predicting Long-Term Care Demands and Optimal Strategies for Older Persons with Dementia in China to 2040
Peijia Zhu, Qifan Yang, Jie Chen, Liangwen Zhang, Ya Fang

TL;DR
This study predicts a significant rise in dementia cases in China by 2040 and highlights the need for expanded formal care and support for informal caregivers.
Contribution
The study introduces a validated Markov model to project dementia-related long-term care demands and costs in China, considering urban-rural and demographic differences.
Findings
Dementia cases in China are projected to increase by 51.2% from 2020 to 2040.
Informal care remains dominant, but a large gap in formal care workforce is expected by 2040.
Dementia LTC costs will reach 0.26%-0.64% of GDP, driven by population aging and new dementia cases.
Abstract
Limited evidence exists on the future trajectory of long-term care (LTC) demands for older persons with dementia in China. This study aims to quantify projected changes in the dementia population from 2020 to 2040 and provide evidence for national dementia LTC planning and informal care support. Using multi-source data (CLHLS 2011/2014/2018, UN projections, official statistics, surveys, interviews), we developed and validated a Markov model with age, gender, and urban-rural differences, with a 1-year cycle. Using dementia transition probabilities, the model projected trends in the dementia population from 2020 to 2040. Scenario analyses (low and high standards) were conducted to explore demand characteristics in care workforce and costs from both formal and informal care perspectives. The dementia population is projected to rise by 51.2%, from 19.73 million in 2020 to 29.83 million in…
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Taxonomy
TopicsIntergenerational Family Dynamics and Caregiving · Geriatric Care and Nursing Homes · Insurance, Mortality, Demography, Risk Management
