Projections of socioeconomic costs of dementia in China 2020-2050: modelling study
Yanjuan Wu,
Yuyang Liu,
Yuntao Chen,
Yixuan Liu,
Sophia Lobanov-Rostovsky,
Yuting Zhang,
Yuanli Liu,
Eric Bunner,
Eric French and
Jing Liao
Cambridge Working Papers in Economics from Faculty of Economics, University of Cambridge
Abstract:
This study measured current and projected future socioeconomic costs (healthcare, formal care, and informal care costs) and quality adjusted life years (QALYs) lost to dementia in China, and assesses drivers of these costs. We synthesized health and demographic trends by a Markov model, using data from China Health and Retirement Longitudinal Study and Chinese Longitudinal Healthy Longevity Survey. We decomposed socioeconomic costs changes (2018 US$) into population growth, population ageing, dementia prevalence and average socioeconomic costs per case. Socioeconomic costs and the value of QALYs lost to dementia will reach $1,233 and $702 billion by 2050, rising by 563% and 457% over 2020-2050. Informal care is currently, and projected to remain, the largest share of socioeconomic costs. Population ageing (43%) and rising dementia prevalence (54%) drive this growth through 2050. Dementia will become an increasingly large economic burden on Chinese society.
Keywords: Dementia; Socioeconomic Costs; Costs of Quality of Life Lost; Modelling Studies; China (search for similar items in EconPapers)
Date: 2023-12-04
New Economics Papers: this item is included in nep-age and nep-cna
Note: ebf26
References: View complete reference list from CitEc
Citations:
Downloads: (external link)
https://www.econ.cam.ac.uk/sites/default/files/pub ... pe-pdfs/cwpe2378.pdf
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:cam:camdae:2378
Access Statistics for this paper
More papers in Cambridge Working Papers in Economics from Faculty of Economics, University of Cambridge
Bibliographic data for series maintained by Jake Dyer ().