Andreas Asheim, Lars Eide Næss, Andreas Krüger, Oddvar Uleberg, Jostein Dale, Helge Haugland, Ole Erik Ulvin, Sara Marie Nilsen, Gudrun Maria Waaler Bjørnelv, Jon-Ola Wattø, Johan Håkon Bjørngaard
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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.</p><p><strong>Results: </strong>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).</p><p><strong>Conclusion: </strong>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.</p>","PeriodicalId":11779,"journal":{"name":"Epidemiology","volume":"36 6","pages":"830-840"},"PeriodicalIF":4.4000,"publicationDate":"2025-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12459146/pdf/","citationCount":"0","resultStr":"{\"title\":\"Does Delayed Response Due to Busy Ambulances Impact Risk of Death and Hospital Service Use?: A Cohort Study of 240,000 Medical Emergencies.\",\"authors\":\"Andreas Asheim, Lars Eide Næss, Andreas Krüger, Oddvar Uleberg, Jostein Dale, Helge Haugland, Ole Erik Ulvin, Sara Marie Nilsen, Gudrun Maria Waaler Bjørnelv, Jon-Ola Wattø, Johan Håkon Bjørngaard\",\"doi\":\"10.1097/EDE.0000000000001894\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Objectives: </strong>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.</p><p><strong>Methods: </strong>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.</p><p><strong>Results: </strong>Among 239,320 acute emergencies, 4.1% of patients died within 7 days. 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引用次数: 0
摘要
目的:当地面救护车忙于任何任务时,可能会因并发紧急情况而延误。虽然时间紧迫的条件受到延误的影响,但总体影响仍不清楚。我们的目的是评估救护车繁忙导致的救护车反应延迟如何影响死亡风险和医院服务的使用。方法:我们研究了2013年至2022年挪威中部因院外紧急情况而拨打医疗急救电话的个人。将急救服务和医院数据联系起来,以评估随后的死亡和住院情况。我们通过多变量调整和自然实验解决了潜在的偏差:对于同一地区在相似时间发生的紧急情况,我们比较了繁忙救护车中不同患者的结果,以分析由于患者严重程度而可能与优先级无关的响应延迟。结果:239320例急症患者中,7 d内死亡的占4.1%。一辆繁忙的救护车与2.9分钟延误相关的概率的四分位数变化范围(95%置信区间[CI] = 2.8, 3.0)。总体而言,延迟5分钟与死亡风险差异0.10个百分点(95% CI = -0.17, 0.36)和住院风险差异1.24个百分点(95% CI = 0.59, 1.94)相关。1年内住院治疗费用增加了616欧元(95% CI = 183, 1069)。结论:虽然我们没有发现与延迟救护车响应相关的死亡总风险的实质性增加,但观察到的医院费用的增加表明发病率的潜在增加。
Does Delayed Response Due to Busy Ambulances Impact Risk of Death and Hospital Service Use?: A Cohort Study of 240,000 Medical Emergencies.
Objectives: 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.
Methods: 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.
Results: 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).
Conclusion: 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.
期刊介绍:
Epidemiology publishes original research from all fields of epidemiology. The journal also welcomes review articles and meta-analyses, novel hypotheses, descriptions and applications of new methods, and discussions of research theory or public health policy. We give special consideration to papers from developing countries.