Evidence map›Paper›PMID 38818447›Full record

ArticleFrontiers in public health2024

Analysis of medical impoverishment and its influencing factors among China's rural near-poor, 2016-2020.

Qiwei Feng, Yi Che, Shuying Yi, Ying Wang, Wen Chen, Xinbin Xia

Abstract read
In one paragraph

Article in Frontiers in public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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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

3 citing papers in PubMed.

  1. Article
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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.

Qiwei FengSchool of Humanities and Management, Hunan University of Chinese Medicine, Changsha, Hunan, China.
Yi CheSchool of Humanities and Management, Hunan University of Chinese Medicine, Changsha, Hunan, China.
Shuying YiSchool of Humanities and Management, Hunan University of Chinese Medicine, Changsha, Hunan, China.
Ying WangSchool of Humanities and Management, Hunan University of Chinese Medicine, Changsha, Hunan, China.
Wen ChenKey Laboratory of Vascular Biology and Translational Medicine, Medical School, Hunan University of Chinese Medicine, Changsha, China.
Xinbin XiaSchool of Humanities and Management, Hunan University of Chinese Medicine, Changsha, Hunan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This study investigates the determinants of medical impoverishment among China's rural near-poor, aiming to enhance public health services and establish preventative and monitoring systems. Methods: Using China Family Panel Studies and World Bank methods, we categorized rural populations and calculated their 2020 Poverty Incidence (PI) and Poverty Gap (PG), with impoverishing health expenditures (IHE) as the primary indicator. We analyzed the data from 2016 to 2020 using a conditional fixed-effects multinomial logit model and 2020 logistic regression to identify factors influencing medical impoverishment risk. Results: (1) In 2020, the near-poor in China faced a PI of 16.65% post-health expenditures, 8.63 times greater than the non-poor's PI of 1.93%. The near-poor's Average Poverty Gap (APG) was CNY 1,920.67, notably surpassing the non-poor's figure of CNY 485.58. Health expenses disproportionately affected low-income groups, with the near-poor more prone to medical impoverishment. (2) Disparities in medical impoverishment between different economic household statuses were significant ( Conclusion: Rural near-poor in China are much more susceptible to medical impoverishment, influenced by specific socio-economic factors. The findings advocate for policy enhancements and health system reforms to mitigate health poverty. Further research should extend to urban areas for comprehensive health poverty strategy development.

Indexed as

Health ExpendituresPovertyRural PopulationAdultChinaFemaleHumansMaleMiddle AgedSocioeconomic Factorsconditional fixed-effects multinomial logit modelimpoverishing health expendituresinfluencing factorsmedical impoverishmentnear-poorrelative povertyrural China

Identifiers

PMID38818447
PMCPMC11137257

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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.