Evidence map›Paper›PMID 40988666›Full record

ArticleFrontiers in public health2025

Epidemiological characteristics and trends of pre-hospital emergency care in Handan, China from 2011 to 2024.

Feng Tian, Saicong Lu, Chengcheng Bi, Xian Wang, Xu Zhang, Zhenjie Yang, Longqiang Zhang, Jie Li, Penghui Li, Haifang Zhang

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Article in Frontiers in public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Feng TianSchool of Medicine, Hebei University of Engineering, Handan, China.
Saicong LuHebei Key Laboratory of Medical Data Science, Handan, China.
Chengcheng BiHebei Key Laboratory of Medical Data Science, Handan, China.
Xian WangHebei Key Laboratory of Medical Data Science, Handan, China.
Xu ZhangHebei Key Laboratory of Medical Data Science, Handan, China.
Zhenjie YangHandan Emergency Rescue Command Center, Handan, China.
Longqiang ZhangHandan Emergency Rescue Command Center, Handan, China.
Jie LiHandan Emergency Rescue Command Center, Handan, China.
Penghui LiSchool of Medicine, Hebei University of Engineering, Handan, China.
Haifang ZhangHandan Emergency Rescue Command Center, Handan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Pre-hospital emergency medical service (EMS) is essential in providing acute care services. This study aimed to analyze the characteristics and trends of pre-hospital EMS in Handan, China from 2011 to 2024 and provide references for the government and medical institutions to optimize EMS. Methods: Pre-hospital EMS data from 2011 to 2024 in Handan were obtained from the database of Handan Emergency Rescue Command Center. The GIS based analysis was used to reveal the spatial distribution and regional differences in pre-hospital EMS demands. The average annual growth rate (AAGR) was used to calculate the AAGR of the overall pre-hospital EMS demand and the pre-hospital diseases. Chi-square test was used to analyze gender distributions of disease spectrum regarding pre-hospital EMS. The Mann-Kendall (MK) trend test was employed to assess the trends of pre-hospital EMS demand, age distribution and disease occurrence patterns. Results: A total of 613,066 pre-hospital EMS cases from 2011 to 2024 met inclusion criteria. Over the past 14 years, Handan's pre-hospital EMS demand increased significantly by 3.11-fold ( Conclusion: Pre-hospital EMS demand in Handan has increased substantially during the past 14 years. More medical resources should be dedicated to pre-hospital EMS due to the increased pre-hospital EMS demand. Gender, age and region distributions in diseases regarding pre-hospital EMS should also be considered.

Indexed as

Emergency Medical ServicesHealth Services Needs and DemandAdolescentAdultAgedAged, 80 and overChildChild, PreschoolChinaFemaleHumansInfantMaleMiddle AgedYoung Adultdisease spectrumemergency medical service (EMS)Handanpre-hospital emergencytrend analysis

Identifiers

PMID40988666
PMCPMC12450886

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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.