Evidence map›Paper›PMID 33891649›Full record

ArticlePloS one2021

Addressing the maldistribution of health resources in Sichuan Province, China: A county-level analysis.

Li Ding, Ning Zhang, Ying Mao

Abstract read
In one paragraph

Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

21 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

3 authors.

Li DingSchool of Humanities and Social Science, Xi'an Jiaotong University, Xi'an, Shaanxi, China.
Ning ZhangSchool of Public Policy and Administration, Xi'an Jiaotong University, Xi'an, Shaanxi, China.ORCID 0000-0001-5841-4933
Ying MaoSchool of Public Policy and Administration, Xi'an Jiaotong University, Xi'an, Shaanxi, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe equity of health resource allocation geographically is a contested topic. Sichuan Province, located in Southwest China, has varied topography, providing us with natural materials to explore the determinants of health resource distribution. MATERIALS AND

methodsSpatial panel econometric models were constructed to explore the relationship between health resources and factors such as health care service demand and socioeconomic and demographic perspectives using data from Sichuan Province for eight consecutive years (2010-2017).

resultsHealth care service demands were found to be a major driving force behind the distribution of health resources, showing that an increase in health care service demands draws health resources to specific counties and surrounding areas. From a socioeconomic perspective, gross domestic product per capita and the average wage show a positive association with health resources. In addition, the total population and proportion of the urban population have diverse effects in regard to health-related human resources but have the same effects on material and financial health resources.

conclusionsOur results provide the Chinese government with evidence needed to formulate and promulgate effective policies, especially those aiming to tackle inequity among different regions.

Indexed as

Health PersonnelAdultChinaEfficiency, OrganizationalFemaleHealthcare DisparitiesHealth Care RationingHealth EquityHealth ResourcesHealth ServicesHealth Services AccessibilityHealth WorkforceHumansInpatientsMaleNurses

Identifiers

PMID33891649
PMCPMC8064550

What OpenQuestion holds

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LicenceCC BY
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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.