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Optimizing automated external defibrillator deployment within the walking golden window for out-of-hospital cardiac
Zhaohui Qin1, Jia Li1, Shuyao Zheng1
1The Second Clinical Medical School, Xuzhou Medical University, Xuzhou, China.
Insights
Optimizing automated external defibrillator (AED) placement in Chinese cities is crucial. This study proposes an improved strategy based on the "golden window" walking distance to enhance AED accessibility during out-of-hospital cardiac arrests (OHCAs).
Area of Science:
- Public Health
- Emergency Medicine
- Geographic Information Systems (GIS)
Background:
- Out-of-hospital cardiac arrest (OHCA) requires immediate intervention within the
- Purpose_of_the_Study
- Main_Methods
- Main_Results
- Conclusions
Purpose of the Study:
- To develop and validate an improved public access defibrillation (PAD) strategy for optimizing automated external defibrillator (AED) deployment in Chinese urban settings.
- To enhance AED accessibility and efficiency during the critical
- Main_Methods
- Main_Results
- Conclusions
Main Methods:
- Observational study utilizing OHCA registry and AED inventory data from Xuzhou city.
- Geographic Information System (GIS) analysis to determine optimal AED placement based on
- Main_Results
- Conclusions
Main Results:
- Analysis of 1,350 OHCAs and 1,238 AEDs revealed significant spatial mismatches in current AED deployment.
- Walking-route based AED coverage within 100m was low (7.33%); 53.04% of OHCAs had AED access within the golden window.
- Optimal straight-line deployment distance calculated at 270-280m to meet developed city standards.
Conclusions:
- Current AED deployment in Xuzhou city is suboptimal for OHCA cases.
- The proposed improved allocation model significantly enhances AED accessibility and deployment efficiency.
- The model is adaptable for future integration with drone-based AED delivery systems.
Background:
Irreversible brain injury may begin 4-6 min after the onset of out-of-hospital cardiac arrest (OHCA) if no cardiopulmonary resuscitation (CPR) is provided. This period is commonly referred to as the "golden window" in China. Based on the walking distance within this window, we proposed an improved public access defibrillation (PAD) deployment strategy to enhance automated external defibrillator (AED) efficiency in typical Chinese cities.
Methods:
This observational study used two datasets (an AED inventory and an OHCA registry) to assess the current effectiveness of AED deployment in the urban area of the Xuzhou city, Jiangsu Province. Using Geographic Information System (GIS) to determine the optimal AED placement distance based on the golden window walking-route distance. We also used python to simulate the improved model.
Results:
In the model, a total of 1,350 OHCAs and 1,238 AEDs were included and 78.4% of OHCAs occurred in the community. The AED coverage rate within 100 m was 7.93 and 7.33% based on the straight-line model and walking-route model. The proportion of OHCAs where an AED was accessible within the walking distance of the golden window accounted for 53.04% on average, with an average of 1.19 AEDs per case. The optimal deployment distance for AEDs to achieve maximum efficiency and approximate the standards of developed cities (Average = 1, Proportion = 40%) is computed to be 270-280 m in straight line. The simulation demonstration of the improved model shows that the benefit is significantly improved.
Conclusion:
Our model verified the current mismatch between AED deployment and OHCA cases in Xuzhou city. Based on this, we proposed an improved allocation model, which demonstrated the potential to optimize AED deployment more effectively. Furthermore, by integrating updated PAD strategies, our model can be further adapted to support drone-based AED delivery systems, offering a flexible and data-driven approach for future implementation.
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