在移动急救服务中接受治疗的用户死亡率分析:一项观察性研究,2019-2020。

IF 2
Erika Fernanda Dos Santos Bezerra Ludwig, Maria do Carmo Fernandez Lourenço Haddad, Mariana Ângela Rossaneis Moreira, Aroldo Gavioli, Lilia de Souza Nogueira, Eleine Aparecida Penha Martins
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引用次数: 0

摘要

目的:分析位于帕拉纳的移动急救服务的使用者死亡率。方法:基于2019年和2020年的服务报告进行横断面分析研究。流动紧急护理服务覆盖21个城市,分为中心A和中心b。定义的因变量是死亡和护理时间。生存函数计算采用Kaplan-Meier估计和log-rank检验;死亡风险比(HR),采用Cox回归,95%可信区间(95% ci)。结果:该研究评估了13326例提供的护理。其中,246人死亡。在时间敏感的电话中(HR 0.17; 95%CI 0.008; 0.37),在2020年(HR 2.09; 95%CI 1.39; 3.16),参加高级支持(HR 21.51; 95%CI 12.61; 36.70)和Hub B (HR 4.26; 95%CI 2.53; 7.17),死亡风险更高。结论:在2020年,等待时间敏感的呼叫时间较长、发生在人口较少的地区、并得到提前支持的病例死亡率较高。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Analysis of mortality of users treated at a Mobile Emergency Care Service: an observational study, Paraná, 2019-2020.

Analysis of mortality of users treated at a Mobile Emergency Care Service: an observational study, Paraná, 2019-2020.

Analysis of mortality of users treated at a Mobile Emergency Care Service: an observational study, Paraná, 2019-2020.

Analysis of mortality of users treated at a Mobile Emergency Care Service: an observational study, Paraná, 2019-2020.

Objective: To analyze the mortality of users attended by a Mobile Emergency Care Service located in Paraná.

Methods: This is a cross-sectional analytical study based on service reports from 2019 and 2020. The Mobile Emergency Care Service covered 21 municipalities, divided into hubs A and B. The dependent variables defined were death and time of care. Survival functions were calculated using the Kaplan-Meier estimator and the log-rank test; hazard ratio (HR) for death, by Cox regression with 95% confidence interval (95%CI).

Results: The study evaluated 13,326 instances of care provided. Of these, 246 resulted in death. The risk of death was higher in time-sensitive calls (HR 0.17; 95%CI 0.008; 0.37), in 2020 (HR 2.09; 95%CI 1.39; 3.16), attended by advanced support (HR 21.51; 95%CI 12.61; 36.70) and in Hub B (HR 4.26; 95%CI 2.53; 7.17).

Conclusion: Mortality was higher in cases that had a long wait for time-sensitive calls, occurred in less populated regions, and were dealt with by advanced support in 2020.

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