Evidence map›Paper›PMID 41112172›Full record

ArticleRisk management and healthcare policy2025

Analysis and Optimization of Automated External Defibrillator (AED) Configuration in Chinese Cities: A Case Study of Dongcheng District, Beijing.

Yunke Shi, Ning Zhang

Abstract read
In one paragraph

Article in Risk management and healthcare policy, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

2 authors.

Yunke ShiSchool of Public Health, Capital Medical University, Beijing, People's Republic of China.ORCID 0009-0007-2045-7015
Ning ZhangSchool of Public Health, Capital Medical University, Beijing, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: To explore strategies for optimizing Automated External Defibrillator (AED) configuration in urban areas of China and improving the treatment conditions for out-of-hospital cardiac arrest (OHCA) patients. Material and Methods: Taking Dongcheng District, Beijing as the research object, spatial data such as administrative divisions, transportation road networks, AED configuration points, and points of interest in key public places, as well as non-spatial data such as population statistics, were collected. Service area analysis and location-allocation models were used to analyze the current status of AED configuration and explore optimization strategies for AED deployment. Results: As of September 2024, a total of 86 AEDs had been configured in Dongcheng District, and their service area covered 13.74% of the district. The combined service area of AEDs and hospitals covered 82.62% of the district. After achieving the goal of full AED coverage in key public places in the future, AED service area will cover 34.80% of the district, and the combined service area of AEDs and hospitals will cover 85.92% of the district. According to the optimization plan proposed in this study, an additional 218 AEDs are needed in Dongcheng District, bringing the total number of AEDs to 519. At this point, AED service area will cover 50.62% of the district, and the combined service area of AEDs and hospitals will cover 97.28%. Conclusion: The AED configuration optimization strategy proposed in this study is highly reasonable, and relevant government agencies can refer to this framework to optimize the AED deployment in urban areas. Additionally, technologies such as the Internet of Things and drones can be leveraged to establish urban AED search and delivery platforms, further enhancing the accessibility and utilization rate of AED to achieve optimal treatment outcomes for OHCA patients and save more lives.

Indexed as

AEDArcGISconfiguration optimizationlocation-allocation modelservice area analysis

Identifiers

PMID41112172
PMCPMC12531313

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

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.