Daniel Trotzky, Inon Dimand, Gal Pachys, Eli Jaffe, Daniel Edward Fordham, Tzachi Slutsky, Refael Strugo, Ella Khairish Ben Zeev, Joseph Leonard, Aya Cohen, Roman Sonkin
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引用次数: 0
Abstract
Background: This research examined the accuracy of the Israeli model of emergency medical dispatch by comparing dispatchers' preliminary diagnosis with the working diagnosis of paramedics in the field.
Methods: Data from emergency medical calls received by Magen David Adom between January 1st 2019 and December 31st 2019 were included. Primary analysis was done by directly comparing preliminary diagnoses made by dispatchers to the diagnoses made by paramedics. Secondary analysis was done by comparing the system identified by the dispatchers' preliminary diagnoses to the system identified by the paramedics' diagnoses. Tertiary analysis was done by subgrouping symptoms and syndromes by an expert panel to create a new preliminary diagnosis which was then compared with paramedic diagnosis.
Results: Primary analysis showed a sensitivity of 48.8%, specificity of 97.3%, PPV of 53.0%, and NPV of 98.0%. Secondary analysis showed a sensitivity of 78.6%, specificity of 88.4%, PPV of 26.5%, and NPV of 99.2%. Tertiary analysis showed a sensitivity of 49.8%, specificity of 97.3%, PPV of 54.4%, and NPV of 97.9%.
Conclusion: Medically experienced emergency dispatchers were able to obtain a high level of sensitivity determining preliminary diagnoses compared to ambulance crews in the field. Further research should focus on widening the variety of diagnoses investigated.
背景:本研究通过比较调度员的初步诊断和现场护理人员的工作诊断来检验以色列紧急医疗调度模式的准确性。方法:纳入2019年1月1日至2019年12月31日Magen David Adom收到的紧急医疗呼叫数据。初步分析是通过直接比较调度员的初步诊断和护理人员的诊断来完成的。将调度员初步诊断识别的系统与护理人员诊断识别的系统进行二次分析。三级分析由专家小组对症状和综合征进行亚分组,以创建新的初步诊断,然后与护理诊断进行比较。结果:初步分析显示敏感性为48.8%,特异性为97.3%,PPV为53.0%,NPV为98.0%。二次分析显示敏感性为78.6%,特异性为88.4%,PPV为26.5%,NPV为99.2%。三级分析显示敏感性为49.8%,特异性为97.3%,PPV为54.4%,NPV为97.9%。结论:与现场救护人员相比,医学上经验丰富的紧急调度员能够获得高水平的灵敏度来确定初步诊断。进一步的研究应集中于扩大所调查的诊断的种类。