Evidence map›Paper›PMID 36767441›Full record

ArticleInternational journal of environmental research and public health2023

Spatial Accessibility and Equity Evaluation of Medical Facilities Based on Improved 2SFCA: A Case Study in Xi'an, China.

Linggui Liu, Yi Zhao, Han Lyu, Sining Chen, Yuheng Tu, Shuyun Huang

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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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3 · Its place in the literature

Who cites it

10 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

6 authors.

Linggui LiuSchool of Humanities and Social Science, Xi'an Jiaotong University, Xi'an 710049, China.ORCID 0000-0002-2006-0954
Yi ZhaoSchool of Humanities and Social Science, Xi'an Jiaotong University, Xi'an 710049, China.
Han LyuSchool of Humanities and Social Science, Xi'an Jiaotong University, Xi'an 710049, China.
Sining ChenSchool of Humanities and Social Science, Xi'an Jiaotong University, Xi'an 710049, China.
Yuheng TuSchool of Humanities and Social Science, Xi'an Jiaotong University, Xi'an 710049, China.
Shuyun HuangSchool of Humanities and Social Science, Xi'an Jiaotong University, Xi'an 710049, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Accurate evaluation of the accessibility of medical facilities is a prerequisite for the reasonable allocation of medical resources in a city. The accessibility of medical facilities depends not only on the distance to the supply and demand points, but also on the time spent in the process, and the supply capacity of the supply points. Taking Xi'an City of Shaanxi Province as an example, this paper comprehensively considers the facility supply capacity and introduces the selection probability function based on the two-step floating catchment area (2SFCA) method. In addition, in order to approximate the residents' acceptance of different types of hospitals for long-distance medical treatment in real situations, different levels of search radius were set for the different levels of hospitals, and ArcGIS was used to measure the accessibility and evaluate the spatial layout of medical facilities in the main urban area of Xi'an. The results show that there is a significant difference in the accessibility of medical facilities in the main urban area of Xi'an, and the accessibility tends to decrease gradually from the central city to the periphery. The inequity in the allocation of medical facilities in the main urban area of Xi'an is more obvious, with about 81.64% of people having access to 54.88% of medical resources. The accessibility evaluation model established by the improved 2SFCA method can obtain more accurate and objective evaluation results. This study can provide a reference basis for urban medical facilities' planning and rational spatial layout.

Indexed as

Health FacilitiesHealth Services AccessibilityChinaCitiesHospitalsHumansArcGISmedical facilitiesspatial accessibilitytwo-step floating catchment area (2FSCA)

Identifiers

PMID36767441
PMCPMC9916370

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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.