Evidence map›Paper›PMID 28508236›Full record

ArticleWorld journal of surgery2017

An Exploratory Analysis of the Geographical Distribution of Trauma Incidents in Shenzhen, China.

Gui Xi Zhang, Joe King Man Fan, Fion Siu Yin Chan, Gilberto Ka Kit Leung, Chung Mao Lo, Yi Min Yu, Hong Zhang, Susan I Brundage, Jan O Jansen

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Article in World journal of surgery, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

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3citing papers in PubMed
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3 · Its place in the literature

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3 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Gui Xi ZhangDepartment of Surgery, The University of Hong Kong-Shenzhen Hospital, Shenzhen, China.
Joe King Man FanDepartment of Surgery, The University of Hong Kong-Shenzhen Hospital, Shenzhen, China.
Fion Siu Yin ChanDepartment of Surgery, The University of Hong Kong-Shenzhen Hospital, Shenzhen, China.
Gilberto Ka Kit LeungDepartment of Surgery, The University of Hong Kong-Shenzhen Hospital, Shenzhen, China.
Chung Mao LoDepartment of Surgery, The University of Hong Kong-Shenzhen Hospital, Shenzhen, China.
Yi Min YuShenzhen "120" Emergency Medical Services Center, Shenzhen, China.
Hong ZhangShenzhen "120" Emergency Medical Services Center, Shenzhen, China.
Susan I BrundageCentre for Trauma Sciences, Queen Mary University of London, London, UK. s.brundage@qmul.ac.uk.
Jan O JansenDepartments of Surgery and Intensive Care Medicine, Aberdeen Royal Infirmary and Health Services Research Unit, University of Aberdeen, Aberdeen, UK. jan.jansen@abdn.ac.uk.

Funding

Chief Scientist Office
6 · The paper itself

Abstract

backgroundThe city of Shenzhen, China, is planning to establish a trauma system. At present, there are few data on the geographical distribution of incidents, which is key to deciding on the location of trauma centres. The aim of this study was to perform a geographical analysis in order to inform the development of a trauma system in Shenzhen.

methodsRetrospective analysis of trauma incidents attended by Shenzhen Emergency Medical Services (EMS) in 2014. Data were obtained from Shenzhen EMS. Incident distribution was explored using dot and kernel density estimate maps. Clustering was determined using the nearest neighbour index. The type of healthcare facilities which patients were taken to was compared against patients' needs, as assessed using the Field Triage Decision Scheme.

resultsThere were 49,082 recorded incidents. A total of 3513 were classed as major trauma. Mapping demonstrates that incidents predominantly occurred in the western part of Shenzhen, with identifiable clusters. Nearest neighbour index was 0.048. Of patients deemed to have suffered major trauma, 8.5% were taken to a teaching hospital, 13.6% to a regional hospital, 42.6% to a community hospital, and 35.3% to a private hospital. The proportions of Step 1 or 2 negative patients were almost identical.

conclusionThe majority of trauma patients, including trauma patients who are at greater likelihood of severe injury, are taken to regional and community hospitals. There are areas with identifiable concentrations of volume, which should be considered for the siting of high-level trauma centres, although further modelling is required to make firm recommendations.

Indexed as

Community Health PlanningGeographic MappingTrauma CentersAdultChinaCluster AnalysisEmergency Medical ServicesFemaleHospitals, CommunityHospitals, PrivateHospitals, TeachingHumansMaleRetrospective StudiesTriageWounds and Injuries

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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.