Evidence map›Paper›PMID 40361111›Full record

ArticleHealth and quality of life outcomes2025

Unmet long-term care needs and their association with health-related quality of life among Chinese oldest-old population.

Jiajun Qiao, Yiwei Qiao, Jialong Tan, Nuo Chen, Nan Peng, Zongfu Mao, Yali Zhao, Chen Chen, Yao Yao

Abstract read
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Article in Health and quality of life outcomes, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Jiajun QiaoDong Fureng Institute of Economic and Social Development, Wuhan University, Wuhan, China.
Yiwei QiaoDong Fureng Institute of Economic and Social Development, Wuhan University, Wuhan, China.
Jialong TanDong Fureng Institute of Economic and Social Development, Wuhan University, Wuhan, China.
Nuo ChenDong Fureng Institute of Economic and Social Development, Wuhan University, Wuhan, China.
Nan PengChina Center for Health Economic Research, Peking University, Beijing, China.
Zongfu MaoDong Fureng Institute of Economic and Social Development, Wuhan University, Wuhan, China.
Yali ZhaoCentral Laboratory, Hainan Hospital of Chinese People's Liberation Army General Hospital, Sanya, China.
Chen ChenDepartment of Global Health, School of Public Health, Wuhan University, Wuhan, China. chenchen835@whu.edu.cn.
Yao YaoChina Center for Health Development Studies, School of Public Health, Peking University, Beijing, China. yao.yao@bjmu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEntering the age of 80 or 100, individuals' functional decline and the need for assistance in daily activities increase dramatically, resulting in an inevitable increase in unmet long-term care (LTC) needs. Understanding unmet LTC needs in late life and their association with quality of life is essential for effective health planning and resource allocation. We aim to estimate the prevalence of unmet needs for LTC and the association of unmet needs for LTC and Health-related Quality of life (HRQOL), among the Chinese oldest-old population.

methodsData were drawn from the 2017 China Hainan Centenarian Cohort Study. All centenarians and a representative sample of individuals aged between 80 and 99 years old in Hainan province, China were included. Self-perceived unmet LTC needs were reported by the respondents. EQ-5D score was calculated from EQ-5D-3L questionnaire to measure HRQOL in this study. We conducted Tobit regression and the Ordered Probit Model to examine the cross-sectional associations between unmet needs for LTC and HRQOL.

results1,444 respondents (mean age 95.75 years [SD 9.13]) were included. The prevalence of unmet LTC needs was 32.69%, and it was higher in rural residents and people with economic deprivation. The results showed that oldest-old individuals with unmet needs for LTC reported lower QALY scores (β=-0.04, p < 0.01). In addition, Unmet LTC needs were significantly correlated with poorer outcomes in mobility (β = 0.18, p < 0.05), self-care (β = 0.19, p < 0.05), pain or discomfort (β = 0.27, p < 0.01), and anxiety or depression (β = 0.09, p < 0.01).

conclusionsThe prevalence of unmet LTC needs was higher in China than its counterpart in high-income countries, especially among those with socio-economic deprivation. Individuals with unmet LTC needs experience lower quality-adjusted life years (QALYs) and higher levels of disabilities across multiple dimensions of health, including mobility, usual activities, self-care, pain/discomfort and depression/anxiety. These findings underscore the importance of addressing unmet LTC needs to improve the overall health outcomes and quality of life for the oldest-old population.

Indexed as

Health Services Needs and DemandLong-Term CareQuality of LifeActivities of Daily LivingAged, 80 and overChinaCross-Sectional StudiesEast Asian PeopleFemaleHumansMaleSurveys and QuestionnairesCentenarianChinaEQ-5DUnmet LTC needs

Identifiers

PMID40361111
PMCPMC12076882

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LicenceCC BY-NC-ND
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.