Evidence map›Paper›PMID 39406783›Full record

ArticleScientific data2024

National-scale 1-km maps of hospital travel time and hospital accessibility in China.

Pei Ye, Ziqian Ye, Jizhe Xia, Leiyang Zhong, Mei Zhang, Lu Lv, Wei Tu, Yang Yue, Qingquan Li

Abstract readDataset
In one paragraph

Article in Scientific data, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 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

9 authors.

Pei YeShenzhen Key Laboratory of Spatial Smart Sensing and Service, Guangdong Key Laboratory of Urban Informatics, Ministry of Natural Resources (MNR) Key Laboratory for Geo-Environmental Monitoring of Great Bay Area, Shenzhen University, Shenzhen, 518000, China.
Ziqian YeShenzhen Key Laboratory of Spatial Smart Sensing and Service, Guangdong Key Laboratory of Urban Informatics, Ministry of Natural Resources (MNR) Key Laboratory for Geo-Environmental Monitoring of Great Bay Area, Shenzhen University, Shenzhen, 518000, China.
Jizhe XiaShenzhen Key Laboratory of Spatial Smart Sensing and Service, Guangdong Key Laboratory of Urban Informatics, Ministry of Natural Resources (MNR) Key Laboratory for Geo-Environmental Monitoring of Great Bay Area, Shenzhen University, Shenzhen, 518000, China. xiajizhe@szu.edu.cn.
Leiyang ZhongShenzhen Key Laboratory of Spatial Smart Sensing and Service, Guangdong Key Laboratory of Urban Informatics, Ministry of Natural Resources (MNR) Key Laboratory for Geo-Environmental Monitoring of Great Bay Area, Shenzhen University, Shenzhen, 518000, China.
Mei ZhangGuangdong Provincial Center for Disease Control and Prevention (CDC), Guangzhou, 510000, China.
Lu LvGuangdong Provincial Center for Disease Control and Prevention (CDC), Guangzhou, 510000, China.
Wei TuShenzhen Key Laboratory of Spatial Smart Sensing and Service, Guangdong Key Laboratory of Urban Informatics, Ministry of Natural Resources (MNR) Key Laboratory for Geo-Environmental Monitoring of Great Bay Area, Shenzhen University, Shenzhen, 518000, China.
Yang YueShenzhen Key Laboratory of Spatial Smart Sensing and Service, Guangdong Key Laboratory of Urban Informatics, Ministry of Natural Resources (MNR) Key Laboratory for Geo-Environmental Monitoring of Great Bay Area, Shenzhen University, Shenzhen, 518000, China.
Qingquan LiShenzhen Key Laboratory of Spatial Smart Sensing and Service, Guangdong Key Laboratory of Urban Informatics, Ministry of Natural Resources (MNR) Key Laboratory for Geo-Environmental Monitoring of Great Bay Area, Shenzhen University, Shenzhen, 518000, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ensuring equitable access to health services is crucial for public welfare and social equity, and is a key objective of the United Nations' Sustainable Development Goals (SDGs). However, existing datasets often define hospital accessibility using travel time to hospitals in geographic dimension only, without considering the supply (hospital capacity) and demand (population distribution) dynamics. To overcome this limitation, we developed and validated a national-scale 1 km map of both hospital travel time and hospital accessibility in China. We used the Gaussian two-step floating catchment area (Ga2SFCA) model to calculate hospital accessibility, incorporating hospital capacity and service population. Various file types and statistical indicators are provided, making the dataset highly accessible for non-specialists. The dataset fills the gap in publicly available nationwide hospital accessibility data for China and can serve as a critical tool in optimizing resource allocation and developing targeted strategies to improve healthcare equity.

Indexed as

Health Services AccessibilityHospitalsTravelChinaHumans

Identifiers

PMID39406783
PMCPMC11480330

What OpenQuestion holds

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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.