Evidence map›Paper›PMID 38097979›Full record

ArticleBMC public health2023

Do the New Rural Pension Scheme promote the health status of chronic patients in old age? -Evidence from CHARLS 2018 in China.

Qihong Liang, Yuxuan Chen, Zheng Zhang, Shengli An

Abstract read
In one paragraph

Article in BMC public health, 2023. 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
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Qihong Liang *Department of Biostatistics, School of Public Health (Guangdong Provincial Key Laboratory of Tropical Disease Research, Guangdong Provincial Key Laboratory of Construction and Detection in Tissue Engineering), Southern Medical University, No.1838 North Guangzhou Avenue, Guangzhou, 510515, People's Republic of China.
Yuxuan Chen *Department of Biostatistics, School of Public Health (Guangdong Provincial Key Laboratory of Tropical Disease Research, Guangdong Provincial Key Laboratory of Construction and Detection in Tissue Engineering), Southern Medical University, No.1838 North Guangzhou Avenue, Guangzhou, 510515, People's Republic of China.
Zheng ZhangDepartment of Biostatistics, School of Public Health (Guangdong Provincial Key Laboratory of Tropical Disease Research, Guangdong Provincial Key Laboratory of Construction and Detection in Tissue Engineering), Southern Medical University, No.1838 North Guangzhou Avenue, Guangzhou, 510515, People's Republic of China.
Shengli AnDepartment of Biostatistics, School of Public Health (Guangdong Provincial Key Laboratory of Tropical Disease Research, Guangdong Provincial Key Laboratory of Construction and Detection in Tissue Engineering), Southern Medical University, No.1838 North Guangzhou Avenue, Guangzhou, 510515, People's Republic of China. asl0418@126.com.

Funding

the Natural Science Foundation of Guangdong Province, China 2022A1515012152
6 · The paper itself

Abstract

backgroundMany researchers have examined the impact of social insurance on health in elderly. However, in most cases, they have only demonstrated correlational results and have not been able to determine causal effects, possibly because confounding biases have not been fully addressed. In this study, we investigated the health effects of the New Rural Pension Scheme (NRPS) on the elderly (age≥60 years old) with chronic diseases in rural areas, and to explore the causal relationship and effects of NRPS and health status.

methodsThis paper used data from the 2018 China Health and Retirement Longitudinal Study (CHARLS) and applied Bayesian networks and fuzzy regression discontinuity design to conduct causal analysis. Bayesian networks were used to explore the causal directed acyclic graphs of factors related to NRPS and health status. Based on the results of Bayesian network, a fuzzy regression discontinuity design was employed to estimate the causal effect of NRPS on health status.

resultsAmong rural elderly with chronic diseases, Bayesian network mapping of causal relationships among NRPS, health status and covariates showed that age was a common cause of NRPS receipt and satisfaction with health. The results of the fuzzy regression discontinuity analysis showed that the effect of receiving NRPS on the health status was positive, but there was no statistically significant difference concerning the interval estimates. The results of the subgroup analysis with chronic obstructive pulmonary disease (COPD) and asthma indicated that the effect of NRPS receipt on the health status of elderly people with COPD was positive. There was a statistically significant effect of receiving NRPS on self-rated health description ([Formula: see text]) and health satisfaction ([Formula: see text]) in COPD population and a statistically significant effect of receiving NRPS on health satisfaction in asthma population ([Formula: see text]).

conclusionThis paper has confirmed the contribution and positive causal effect of NRPS on health status in a subgroup of older adults with COPD and asthma, using the CHARLS database as evidence. Thus, Chinese government should increase the take-up rate of the NRPS to enhance their positive impact on health status of elderly people with chronic diseases in rural areas.

Indexed as

AsthmaPulmonary Disease, Chronic ObstructiveAgedBayes TheoremChinaChronic DiseaseHealth StatusHumansLongitudinal StudiesMiddle AgedPensionsRetirementRural PopulationBayesian networksCausal inferenceChronic diseases in the elderlyNRPSRegression discontinuity design

Identifiers

PMID38097979
PMCPMC10720147

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