Evidence map›Paper›PMID 40843021›Full record

ArticleInnovation in aging2025

Shaping Long-term Care Insurance Intentions Among Chinese Adults Aged 50-70: Role of Information Interventions in Health Risks.

Jin Liu, Jiaozhi Hao, Elizabeth Maitland, Stephen Nicholas, Jian Wang, Anli Leng

Abstract read
In one paragraph

Article in Innovation in aging, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Article
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  3. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Jin LiuSchool of Political Science and Public Administration, Shandong University, Qingdao, China.
Jiaozhi HaoSchool of Political Science and Public Administration, Shandong University, Qingdao, China.
Elizabeth MaitlandSchool of Management, University of Liverpool, Liverpool, UK.
Stephen NicholasAustralian National Institute of Management and Commerce, Sydney, NSW, Australia.
Jian WangDong Fureng Institute of Economic and Social Development, Wuhan University, Wuhan, China.
Anli LengSchool of Political Science and Public Administration, Shandong University, Qingdao, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Objectives: China's population aging, especially increasing numbers of older people with disability and dementia, challenges the public health care system. Long-term care insurance (LTCI) is essential to provide care for China's fast-growing aging population, yet there is a lack of evidence on how the health risks of disability and dementia influence the acceptance of LTCI in China. This study explores the effects of health risk information about disability or dementia on the LTCI intentions of the Chinese aged 50-70. Research Design and Methods: Using stratified random sampling and convenience sampling methods, we designed a survey of 1 025 respondents aged 50-70 from 8 provinces in China. We randomly assigned respondents to control ( Results: Both disability and dementia risk information significantly decreased the probability that respondents were unwilling relative to being willing to enroll in LTCI. The marginal prediction results show that pretest LTCI intentions played a key role in shaping postintention LTCI. In the analysis of heterogeneity, we found that disability information was associated with an increased likelihood of respondents with lower levels of education answering "uncertain," and dementia information was associated with a decreased likelihood of answering "no" for respondents living in the LTCI pilot policy cities. Discussion and Implications: Disability and dementia risk interventions significantly improved LTCI intentions among Chinese aged 50-70. To improve the acceptance of LTCI, we recommend that policymakers adopt the strategies of information interventions for LTCI policy advocacy and differentiate dementia-related and disability-related risk information by individuals with different educational levels and residents in LTCI pilot/nonpilot policy cities.

Indexed as

DementiaDisabilityHealth risk communication

Identifiers

PMID40843021
PMCPMC12365492

What Socratic holds

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Registered trials

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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 Socratic graph.