Evidence map›Paper›PMID 34255044›Full record

ArticleThe journals of gerontology. Series B, Psychological sciences and social sciences2022

Catastrophic Health Expenditure and Mental Health in the Older Chinese Population: The Moderating Role of Social Health Insurance.

Wei Yang, Bo Hu

Open access · hybridAbstract read
In one paragraph

Article in The journals of gerontology. Series B, Psychological sciences and social sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
3.2field-weighted citation impact, top 8% of its field
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

15 citing papers in PubMed, 29 citations in OpenAlex.

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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

2 authors at 2 institutions in 1 country.

Wei YangDepartment of Global Health and Social Medicine, King's College London, UK.ORCID 0000-0001-7249-4386
Bo HuCare Policy and Evaluation Centre (CPEC), Department of Health Policy, The London School of Economics and Political Science, UK.ORCID 0000-0002-5256-505X
King's College London · GBLondon School of Economics and Political Science · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesCatastrophic health expenditure (CHE) has considerable effects on household living standards, but little is known regarding the relationships between CHE and people's mental health. Using China as an example, this study examines the association between CHE and mental health and investigates whether the association differs between those with and without social health insurance (SHI).

methodsThe data came from 3 waves of the China Health and Retirement Longitudinal Study (2011, 2013, and 2015, N = 13,166). We focused on older people aged 60 and older. We built panel data regression and quantile regression models to analyze the data.

resultsIncurring CHE is significantly associated with poor mental health. The association is weakened among older people receiving SHI, which indicates that SHI has a protective effect. Moreover, the association between CHE and mental health and the protective effect of SHI are stronger among those with mild or moderate mental health problems. DISCUSSION: Our findings provide empirical evidence that encourages the integration of psychologically informed approaches in health services. We also urge governments in low- and middle-income countries to consider more generous health financing mechanisms for older people with greater health care needs.

Indexed as

AgedAged, 80 and overChinaEffect Modifier, EpidemiologicFemaleHealth ExpendituresHumansInsurance, HealthLongitudinal StudiesMaleMental HealthMiddle AgedSocial SecurityCatastrophic health expenditureChinaMental healthOlder peopleSocial health insurance

Identifiers

PMID34255044
PMCPMC8755894
OpenAlexW3174967851

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

None linked

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.