Evidence map›Paper›PMID 40767194›Full record

ArticleInternational journal of health policy and management2025

Does the New Rural Cooperative Medical Scheme Provincial Pooling Policy Improve Health Equity Among Older Adults? - Evidence From China Longitudinal Healthy Longevity Survey Data.

Miao Peng, Dai Baozhen, Liao Xin

Abstract read
In one paragraph

Article in International journal of health policy and management, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

3 authors.

Miao PengDepartment of Labor and Social Security, School of Public Health, Southeast University, Nanjing, China.ORCID 0009-0002-0118-2590
Dai BaozhenDepartment of Labor and Social Security, School of Public Health, Southeast University, Nanjing, China.
Liao XinDepartment of Labor and Social Security, School of Public Health, Southeast University, Nanjing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAs global aging increases, health inequalities are becoming more prominent. The purpose of this study is to examine whether increasing the level of fund pooling of the New Rural Cooperative Medical Scheme (NRCMS) helps to improve health and health inequalities among older adults.

methodsData from four periods of the China Longitudinal Healthy Longevity Survey (CLHLS) in 2008, 2011, 2014, and 2018 were used, the population for this paper was a sample of the older adults participating in the NRCMS. A sample of 955 treated participants and 13 477 control participants were included in the analysis after excluding samples with missing information. Time-varying difference-in-differences (DID) model was used to analyze the impact of the NRCMS Provincial Pooling Policy (NRCMS-PPP) on participants' health and health inequalities.

resultsThe results of the study showed that the NRCMS-PPP had a significant effect on the self-rated health (SH) (estimated coefficient = 0.149, P<.01) and health relative deprivation index (HRDI) (estimated coefficient = -0.018,

conclusionThe NRCMS-PPP reduces the probability of the older adults experiencing CHE and reduces their burden of disease costs, thus improving their health and reducing their health inequality. Policy effects vary in terms of educational status and areas of residence.

Indexed as

Health EquityHealth PolicyHealth Status DisparitiesRural Health ServicesRural PopulationAgedAged, 80 and overChinaFemaleHumansLongevityLongitudinal StudiesMaleMiddle AgedSocioeconomic FactorsHealthHealth InequalitieNRCMSOlder AdultsProvincial Pooling

Identifiers

PMID40767194
PMCPMC12257194

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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.