Adiposity and dementia among Chinese adults: longitudinal study in the China Health and Retirement Longitudinal Study (CHARLS)

Publication
international journal of obesity

Abstract

Background and objectives: There is a growing demand for dementia care to be funded by long-term care insurance (LTCI). However, evidence indicates that people with dementia are overlooked in China’s LTCI policy and empirical research on this issue is notably scarce. Among the first seven LTCI pilot cities that officially enrolled people with dementia, Guangzhou is unique for roll-back LTCI policies related to eligibility criteria and benefits. This study aims to explore why people with dementia are overlooked in China’s LTCI policy, using Guangzhou as a case study.

Methods: Semi-structured interviews were conducted with stakeholders involved in LTCI need assessment and care delivery in Guangzhou. Eight LTCI assessment specialists, 22 formal caregivers, and six informal caregivers were interviewed from December 2021 to October 2022. Data was analyzed using NVivo 11.0 software and the Gilbert welfare framework to identify themes.

Results: Interviewees reported that need assessment lacked a clear definition, were poorly supervised, and had high moral hazards. Challenges to care delivery included unprofessionalism of formal caregivers, shortage of resources, unprepared informal caregivers, a lack of a supportive environment and the negative impact of COVID-19. DISCUSSION AND IMPLICATIONS: People with dementia are overlooked in LTCI policy which may result from difficulties in implementing dementia-related assessment criteria, and hampered service delivery due to a shortage of skilled caregivers. These issues need to be carefully considered before scaling up the coverage of LTCI policy nationwide.

Keywords: China; Dementia; Long-term care; Long-term care insurance.

Minrui Zeng
Minrui Zeng
Master of Science in Epidemiology and Biostatistics, 2021-2024

scenario analysis in dementia care

Yuntao Chen
Yuntao Chen
Senior Fellow Researcher,Faculty of Brain Science,University College London

dynamic prediction models and longitudinal modelling of modifiable risk factors for dementia, especially air pollution

Eric Brunner
Eric Brunner
Professor of Social and Biological Epidemiology, University College London

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Jing Liao
Jing Liao
Associate professor, Department of Medical Statistics & Epidemiology| SYSU Global Health Institute (SGHI), Sun Yat-sen University, China

Healthy ageing dynamics, examining social networks × health behaviors × multidimensional functioning (physical/cognitive/social). Uses longitudinal cohort modeling (global datasets) to pinpoint socio-determinants, with RCT-validated interventions.