Evidence map›Paper›PMID 30654500›Full record

ArticleInternational journal of environmental research and public health2019

Assessing Spatial Accessibility to Medical Resources at the Community Level in Shenzhen, China.

Lei Zhu, Shuang Zhong, Wei Tu, Jing Zheng, Shenjing He, Junzhe Bao, Cunrui Huang

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing 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

28 citing papers in PubMed.

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  10. Assessing Spatial Accessibility of Community Hospitals for the Elderly in Beijing, China.International journal of environmental research and public health · 2023
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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

7 authors.

Lei ZhuSchool of Public Health, Sun Yat-sen University, No. 74, Zhongshan 2nd Road, Guangzhou 510080, China. zhulei8@mail2.sysu.edu.cn.
Shuang ZhongCenter for Chinese Public Administration Research, School of Government, Sun Yat-sen University, No. 135, Xingang Xi Road, Guangzhou 510275, China. zhongsh28@mail.sysu.edu.cn.
Wei TuDepartment of Geology and Geography, Georgia Southern University, Statesboro, GA 30460-8149, USA. wtu@georgiasouthern.edu.
Jing ZhengShenzhen Medical Information Center, No. 2210, North Renmin Road, Shenzhen 518001, China. cnzhengj@163.com.
Shenjing HeDepartment of Urban Planning and Design, 8/F Knowles Building, The University of Hong Kong, Pokfulam Road, Hong Kong SAR, China. sjhe@hku.hk.ORCID 0000-0001-5692-2088
Junzhe BaoSchool of Public Health, Sun Yat-sen University, No. 74, Zhongshan 2nd Road, Guangzhou 510080, China. baojzh3@mail.sysu.edu.cn.
Cunrui HuangSchool of Public Health, Sun Yat-sen University, No. 74, Zhongshan 2nd Road, Guangzhou 510080, China. huangcr@mail.sysu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Spatial accessibility to medical resources is an integral component of universal health coverage. However, research evaluating the spatial accessibility of healthcare services at the community level in China remains limited. We assessed the community-level spatial access to beds, doctors, and nurses at general hospitals and identified the shortage areas in Shenzhen, one of the fastest growing cities in China. Based on hospital and population data from 2016, spatial accessibility was analyzed using several methods: shortest path analysis, Gini coefficient, and enhanced 2-step floating catchment area (E2SFCA). The study found that 99.9% of the residents in Shenzhen could get to the nearest general hospital within 30 min. Healthcare supply was much more equitable between populations than across communities in the city. E2SFCA scores showed that the communities with the best and worst hospital accessibility were found in the southwest and southeast of the city, respectively. State-owned public hospitals still dominated the medical resources supply market and there was a clear spatial accessibility disparity between private and public healthcare resources. The E2SFCA scores supplement more details about resource disparity over space than do crude provider-to-population ratios (PPR) and can help improve the efficiency of the distribution of medical resources.

Indexed as

Health Services AccessibilityCatchment Area, HealthChinaHospitals, GeneralHumansE2SFCAgeneral hospitalmedical resourceShenzhenspatial accessibility

Identifiers

PMID30654500
PMCPMC6352203

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.