Optimizing locations of emergency medical stations for rural areas: A case study in Iran
Given the dearth of emergency medical services in rural areas, offering these services is among the most important things that should be done right to save the lives of people who have suffered severe injuries. Rapid access to EMSs, which includes a shorter response time and the availability of all...
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Veröffentlicht in: | International journal of disaster risk reduction 2024-03, Vol.103, p.104336, Article 104336 |
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Sprache: | eng |
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Zusammenfassung: | Given the dearth of emergency medical services in rural areas, offering these services is among the most important things that should be done right to save the lives of people who have suffered severe injuries. Rapid access to EMSs, which includes a shorter response time and the availability of all intensive care services, including the ICU, CCU, NICU, and PICU, is crucial in this regard. In this regard, a GIS-based ACO-QAP model is proposed for rural areas to optimize locations for EMS stations. This model takes into account the standards of EMS in rural areas, and the standards of out-of-city roads, reducing the response times from EMS stations to the scene of damage and from the damage scene to the closest hospital that offers the required intensive care services. Additionally, to increase the availability of intensive care services and to optimal use of available resources, the model determines which types of intensive care services should be provided in the EMS stations. As a result of the integration for setting up the out-of-city EMS, 614 optimized locations were identified. The identified EMS stations should provide single or multiple intensive care services. There were identified as 544 (88.6%) multiservice stations and 70 (11.4%) single service stations. Among the multiservice stations, 113 (20.8%) stations were identified as two-service, 150 (27.5%) as three-service, and 281 (51.7%), as four-service stations. This model generates a chain of EMS stations that improves spatial accessibility and emergency medical availability while reducing resource usage.
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•Local optimizing the out-of-city EMS stations' location for the rural areas.•Optimizing out-of-city EMS stations' location separately for ICU, CCU, NICU, and PICU.•Integrating the optimized locations in single or multiservice EMS stations.•Reducing the RTI from EMS station to the scene of damage, and to the nearest hospital.•Reducing the number of required EMS station while increasing the accessibility. |
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ISSN: | 2212-4209 2212-4209 |
DOI: | 10.1016/j.ijdrr.2024.104336 |