Asheim Andreas, Næss Lars Eide, Krüger Andreas, Uleberg Oddvar, Dale Jostein, Haugland Helge, Ulvin Ole Erik, Nilsen Sara Marie, Waaler Bjørnelv Gudrun Maria, Wattø Jon-Ola, Bjørngaard Johan Håkon
From the Centre for Health Care Improvement, St. Olav's University Hospital, Trondheim, Norway.
Department of Mathematical Sciences, Norwegian University of Science and Technology, Trondheim, Norway.
Epidemiology. 2025 Nov 1;36(6):830-840. doi: 10.1097/EDE.0000000000001894. Epub 2025 Jul 4.
When ground ambulances are busy with any task, delays are likely for concurrent emergencies. Whereas time-critical conditions are affected by delays, general impacts remain unclear. We aimed to assess how delayed ambulance response due to busy ambulances affects risk of death and use of hospital services.
We studied individuals with out-of-hospital emergencies that precipitated a call to the medical emergency number in Central Norway from 2013 to 2022. Emergency service and hospital data were linked to assess subsequent death and hospitalizations. We addressed potential bias by multivariable adjustment and a natural experiment: For emergencies that occurred in the same area at similar times, we compared outcomes for patients with differences in busy ambulances to analyze delays in response that were arguably unrelated to prioritization due to the patient severity.
Among 239,320 acute emergencies, 4.1% of patients died within 7 days. An interquartile range of variation in the probability a busy ambulance was associated with a 2.9-minute delay (95% confidence interval [CI] = 2.8, 3.0). Overall, a 5-minute delay was associated with a risk difference of 0.10 percentage points in the risk of death (95% CI = -0.17, 0.36) and 1.24 for hospitalization (95% CI = 0.59, 1.94). The cost of hospital treatment within 1 year increased by 616 euros (95% CI = 183, 1069).
While we found no substantial increase in the overall risk of death associated with delayed ambulance response, the observed rise in hospital costs suggests a potential increase in morbidity.
当地面救护车忙于任何任务时,并发紧急情况可能会出现延误。虽然时间紧迫的情况会受到延误的影响,但总体影响仍不明确。我们旨在评估因救护车繁忙导致的响应延迟如何影响死亡风险和医院服务的使用。
我们研究了2013年至2022年期间在挪威中部因院外紧急情况拨打医疗急救电话的个体。将急救服务和医院数据相链接,以评估随后的死亡和住院情况。我们通过多变量调整和一项自然实验来解决潜在偏差:对于在同一地区相似时间发生的紧急情况,我们比较了救护车繁忙程度不同的患者的结局,以分析那些可以说与患者严重程度导致的优先级无关的响应延迟。
在239,320例急性紧急情况中,4.1%的患者在7天内死亡。救护车繁忙与2.9分钟延迟相关的概率的四分位距变化(95%置信区间[CI]=2.8,3.0)。总体而言,5分钟的延迟与死亡风险的风险差异为0.10个百分点(95%CI=-0.17,0.36),与住院风险差异为1.24(95%CI=0.59,1.94)。1年内的医院治疗费用增加了616欧元(95%CI=183,1069)。
虽然我们发现与救护车响应延迟相关的总体死亡风险没有大幅增加,但观察到的医院成本上升表明发病率可能增加。