Evidence map›Paper›PMID 33243272›Full record

ArticleInternational journal of health geographics2020

Spatiotemporal access to emergency medical services in Wuhan, China: accounting for scene and transport time intervals.

Weicong Luo, Jing Yao, Richard Mitchell, Xiaoxiang Zhang

Abstract read
In one paragraph

Article in International journal of health geographics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

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  14. Assessing Trauma Center Accessibility for Healthcare Equity Using an Anti-Covering Approach.International journal of environmental research and public health · 2022
    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

4 authors.

Weicong LuoCentre for Sustainable, Healthy and Learning Cities and Neighbourhoods, University of Glasgow, Glasgow, UK.
Jing YaoCentre for Sustainable, Healthy and Learning Cities and Neighbourhoods, University of Glasgow, Glasgow, UK. Jing.Yao@glasgow.ac.uk.ORCID 0000-0002-8677-8248
Richard MitchellCentre for Sustainable, Healthy and Learning Cities and Neighbourhoods, University of Glasgow, Glasgow, UK.
Xiaoxiang ZhangUrban Big Data Centre, School of Social & Political Sciences, University of Glasgow, 7 Lilybank Gardens, Glasgow, G12 8RZ, UK.

Funding

Chief Scientist Office SPHSU10Chief Scientist Office SPHSU19Medical Research Council MC_UU_12017/10
6 · The paper itself

Abstract

backgroundAccess as a primary indicator of Emergency Medical Service (EMS) efficiency has been widely studied over the last few decades. Most previous studies considered one-way trips, either getting ambulances to patients or transporting patients to hospitals. This research assesses spatiotemporal access to EMS at the shequ (the smallest administrative unit) level in Wuhan, China, attempting to fill a gap in literature by considering and comparing both trips in the evaluation of EMS access.

methodsTwo spatiotemporal access measures are adopted here: the proximity-based travel time obtained from online map services and the enhanced two-step floating catchment area (E-2SFCA) which is a gravity-based model. First, the travel time is calculated for the two trips involved in one EMS journey: one is from the nearest EMS station to the scene (i.e. scene time interval (STI)) and the other is from the scene to the nearest hospital (i.e. transport time interval (TTI)). Then, the predicted travel time is incorporated into the E-2SFCA model to calculate the access measure considering the availability of the service provider as well as the population in need. For both access measures, the calculation is implemented for peak hours and off-peak hours.

resultsBoth methods showed a marked decrease in EMS access during peak traffic hours, and differences in spatial patterns of ambulance and hospital access. About 73.9% of shequs can receive an ambulance or get to the nearest hospital within 10 min during off-peak periods, and this proportion decreases to about 45.5% for peak periods. Most shequs with good ambulance access but poor hospital access are in the south of the study area. In general, the central areas have better ambulance, hospital and overall access than peripheral areas, particularly during off-peak periods.

conclusionsIn addition to the impact of peak traffic periods on EMS access, we found that good ambulance access does not necessarily guarantee good hospital access nor the overall access, and vice versa.

Indexed as

Emergency Medical ServicesAmbulancesChinaHospitalsHumansE-2SFCAEMSGISOnline map servicesSpatiotemporal access

Identifiers

PMID33243272
PMCPMC7689650

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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.