Evidence map›Paper›PMID 39578607›Full record

ArticleScientific reports2024

Identification and analysis of influencing factors of multidimensional health poverty in rural areas of Northwest China.

Kexin Chen, Jiangwei Qiu, Wenlong Wang, Qi Hu, Ning Xu, Hui Qiao

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 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.

Kexin Chen *School of Nursing, Ningxia Medical University, Yinchuan, China.
Jiangwei Qiu *Ningxia Key Laboratory of Craniocerebral Diseases, Ningxia Medical University, Yinchuan, China.
Wenlong WangNingxia Medical University, Yinchuan, China.
Qi HuNingxia Medical University, Yinchuan, China.
Ning XuSchool of Humanities and Management, Ningxia Medical University, Yinchuan, China.
Hui QiaoNingxia Medical University, Yinchuan, China. qiaohui71@163.com.

Funding

National Natural Science Foundation of China 72164033Natural Science Foundation of Ningxia Province 2022AAC02036Natural Science Foundation of Ningxia Province 2023AAC03224Natural Science Foundation of Ningxia Province NYG2022049
6 · The paper itself

Abstract

Poverty alleviation remains an urgent issue in China's rural areas, with health poverty being a critical dimension. This study analyzed the multidimensional health poverty status of 9,052 rural residents in Ningxia in 2019 and 7,910 in 2022, aiming to provide a reference for optimizing health poverty alleviation strategies. The A-F dual cutoff method was used to identify and measure multidimensional health poverty through dimensions such as health status, health service utilization capacity poverty, and health spending and security poverty. Logistic regression analysis was further applied to examine the influencing factors of multidimensional health poverty. The results indicate that when the k-value is set at 0.3, the incidence of multidimensional health poverty was 22.3% in 2019 and 7.7% in 2022. The corresponding multidimensional health poverty indices were 0.091 and 0.028, respectively. Furthermore, the level of multidimensional health poverty was higher among women than men. Chronic diseases were identified as a significant indicator of multidimensional health poverty. At the individual level, gender, age, education, government subsidies, family size, housing, and digital divide significantly effected health poverty. Although multidimensional health poverty has improved in rural northwest China, targeted measures remain essential, especially for rural women, individuals with chronic illnesses, and those facing challenges in accessing healthcare and digital connectivity. Sustainable multidimensional health poverty alleviation should prioritize remote rural areas, especially by enhancing healthcare resource utilization for rural women and individuals with chronic diseases. Additionally, increasing medical subsidies for marginalized groups is essential. Improving rural housing conditions, strengthening digital infrastructure, and raising digital health literacy are also critical steps.

Indexed as

PovertyRural PopulationAdolescentAdultAgedChinaChronic DiseaseFemaleHealth StatusHumansMaleMiddle AgedSocioeconomic FactorsYoung AdultChinaIdentificationInfluence mechanismMultidimensional health povertyPanel dataRural residents

Identifiers

PMID39578607
PMCPMC11584661

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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.