Evidence map›Paper›PMID 31574856›Full record

ArticleMedicine2019

The impact of medical insurance on medical expenses for older Chinese: Evidence from the national baseline survey of CLHLS.

Yanbing Zeng, Jiecheng Luo, Long Ou, Manqiong Yuan, Zi Zhou, Yaofeng Han, Ya Fang

Abstract read
In one paragraph

Article in Medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

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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

7 authors.

Yanbing ZengState Key Laboratory of Molecular Vaccinology and Molecular Diagnostics.
Jiecheng LuoState Key Laboratory of Molecular Vaccinology and Molecular Diagnostics.
Long OuState Key Laboratory of Molecular Vaccinology and Molecular Diagnostics.
Manqiong YuanState Key Laboratory of Molecular Vaccinology and Molecular Diagnostics.
Zi ZhouState Key Laboratory of Molecular Vaccinology and Molecular Diagnostics.
Yaofeng HanState Key Laboratory of Molecular Vaccinology and Molecular Diagnostics.
Ya FangState Key Laboratory of Molecular Vaccinology and Molecular Diagnostics.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With the deepening population aging process in China, the medical expenses of older adults has become a widespread concerned. Medical insurance is a major source of Chinese medical financing and payment. The study aims to understand the current status of medical expenses for older adults and explore the effect of different types of health insurance on medical expenses in China.The data came from the Chinese Longitudinal Health Longevity Survey (CLHLS) in 2014. The Kruskal-Wallis test and general multivariate linear regression model were applied to analyze the current situation and to explore how medical insurance as the main payment impacts medical expenses.A total of 4376 older participants were included in this study. The median of medical expenses of a total was 1500 Yuan per year. The proportions of participants who had the urban employee-based basic medical insurance (UE-BMI), the urban residents basic medical insurance (UR-BMI), the new rural cooperative medical insurance scheme (NCMS), and the commercial medical insurance were 10.8%, 8.4%, 72.7%, and 0.9%, respectively. 34.8% of older adults paid the health care service via the NCMS and 11.9% paid via the UE-BMI. Participating in the NCMS and UR-BMI are significantly related to the level of the medical fees of older adults. UE-BMI, UR-BMI, and NCMS as main payment eased the pressure of medical expenses.The influence of different types of medical insurances as main payments on the medical expenses of older adults is varied. Implementation of medical insurance should be taken to further relieve the medical expenses of older adults.

Indexed as

AgedChinaFemaleHealth ExpendituresHealth Status DisparitiesHealth SurveysHealth TransitionHumansInsurance, HealthLongevityLongitudinal StudiesMaleRural PopulationSurveys and Questionnaires

Identifiers

PMID31574856
PMCPMC6775349

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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 OpenQuestion graph.