Jani Paulin, Mari Lahti, Heikki Riihimäki, Joonas Hänninen, Tero Vesanen, Mari Koivisto, Laura-Maria Peltonen
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Multivariable logistic regressions were used to determine factors that were independently associated with violent behavior. The results are presented with odds ratios (ORs) with 95% confidence intervals (CIs).</p><p><strong>Results: </strong>The EMS personnel reported experiences of violence in a total of 297 identified missions (0.7%) of all EMS missions (n = 40,263). The violence was mostly verbal (62.3%) and the most common violence perpetrator was the patient (98.0%). The police were alarmed to many missions where violence was reported (40.7%). Sometimes violence occurred suddenly although the police were present. The multivariable logistic regression model indicates that violence occurred typically in urban areas (OR 1.699; 95% CI 1.283 to 2.248), at weekend nights (OR 1.357; 95% CI 1.043 to 1.765), by male (OR 1.501; 95% CI 1.160 to 1.942), and patients influenced by alcohol (OR 3.464; 95% CI 2.644 to 4.538). A NEWS2 score of 3 in any parameter (vs. score 0-4, OR 2.386; 95% CI: 1.788 to 3.185) and ALS unit type (vs. BLS, OR 1.373; 95% CI: 1.009 to 1.866) increased the likelihood as well.</p><p><strong>Conclusions: </strong>The documentation in ePCRs show low rates of violence targeted at EMS personnel. However, violence is a multidimensional phenomenon connected to unfamiliar patients, rushed situations, and an uncontrolled environment. This means that the EMS personnels' safety cannot be ensured in all situations. 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The purpose of this study was to explore the rate and predictors of violent behavior targeted at EMS personnel by exploring the Electronic patient care records (ePCR) documentation by EMS personnel.</p><p><strong>Methods: </strong>This was a retrospective cohort study of EMS patients in Finland. The data were collected from three regions between 1st June and 30th November 2018. Text mining and manual evaluation were used to identify and explore predictors of violence targeted at EMS personnel from the ePCR narratives. Multivariable logistic regressions were used to determine factors that were independently associated with violent behavior. The results are presented with odds ratios (ORs) with 95% confidence intervals (CIs).</p><p><strong>Results: </strong>The EMS personnel reported experiences of violence in a total of 297 identified missions (0.7%) of all EMS missions (n = 40,263). 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引用次数: 0
摘要
背景:针对紧急医疗服务(EMS)人员的暴力行为在不同的研究中存在差异。目前的研究主要基于自我报告,因此需要其他设计来提供更多视角。本研究的目的是通过研究急救医疗服务人员的电子病人护理记录(ePCR)文件,探讨针对急救医疗服务人员的暴力行为的发生率和预测因素:这是一项针对芬兰急救服务患者的回顾性队列研究。数据收集于 2018 年 6 月 1 日至 11 月 30 日期间的三个地区。通过文本挖掘和人工评估,从电子病历叙述中识别并探索针对急救人员的暴力行为的预测因素。使用多变量逻辑回归确定与暴力行为独立相关的因素。结果以几率比(ORs)和 95% 置信区间(CIs)表示:在所有急救任务(n = 40,263)中,急救人员共报告了 297 次(0.7%)已查明的任务中的暴力行为。暴力行为大多是口头的(62.3%),最常见的施暴者是病人(98.0%)。许多报告暴力事件的任务都向警方报警(40.7%)。有时,尽管警察在场,暴力事件还是会突然发生。多变量逻辑回归模型显示,暴力事件通常发生在城市地区(OR 1.699;95% CI 1.283 至 2.248)、周末晚上(OR 1.357;95% CI 1.043 至 1.765)、男性(OR 1.501;95% CI 1.160 至 1.942)和受酒精影响的患者(OR 3.464;95% CI 2.644 至 4.538)。任何参数的NEWS2得分达到3分(与0-4分相比,OR值为2.386;95% CI:1.788至3.185)和ALS单元类型(与BLS相比,OR值为1.373;95% CI:1.009至1.866)也会增加这种可能性:ePCR 中的记录显示,针对急救人员的暴力行为发生率较低。然而,暴力是一种多维现象,与不熟悉的病人、匆忙的情况和失控的环境有关。这意味着无法在所有情况下确保急救人员的安全。因此,需要考虑安全系数和救治病人之间的平衡。
The rate and predictors of violence against EMS personnel.
Background: Violence against Emergency Medical Services (EMS) personnel vary between studies. Current studies are mainly based on self-reporting, thus other designs are needed to provide more perspective. The purpose of this study was to explore the rate and predictors of violent behavior targeted at EMS personnel by exploring the Electronic patient care records (ePCR) documentation by EMS personnel.
Methods: This was a retrospective cohort study of EMS patients in Finland. The data were collected from three regions between 1st June and 30th November 2018. Text mining and manual evaluation were used to identify and explore predictors of violence targeted at EMS personnel from the ePCR narratives. Multivariable logistic regressions were used to determine factors that were independently associated with violent behavior. The results are presented with odds ratios (ORs) with 95% confidence intervals (CIs).
Results: The EMS personnel reported experiences of violence in a total of 297 identified missions (0.7%) of all EMS missions (n = 40,263). The violence was mostly verbal (62.3%) and the most common violence perpetrator was the patient (98.0%). The police were alarmed to many missions where violence was reported (40.7%). Sometimes violence occurred suddenly although the police were present. The multivariable logistic regression model indicates that violence occurred typically in urban areas (OR 1.699; 95% CI 1.283 to 2.248), at weekend nights (OR 1.357; 95% CI 1.043 to 1.765), by male (OR 1.501; 95% CI 1.160 to 1.942), and patients influenced by alcohol (OR 3.464; 95% CI 2.644 to 4.538). A NEWS2 score of 3 in any parameter (vs. score 0-4, OR 2.386; 95% CI: 1.788 to 3.185) and ALS unit type (vs. BLS, OR 1.373; 95% CI: 1.009 to 1.866) increased the likelihood as well.
Conclusions: The documentation in ePCRs show low rates of violence targeted at EMS personnel. However, violence is a multidimensional phenomenon connected to unfamiliar patients, rushed situations, and an uncontrolled environment. This means that the EMS personnels' safety cannot be ensured in all situations. Therefore, a balance between safety margins and treating patients needs to be considered.
期刊介绍:
BMC Emergency Medicine is an open access, peer-reviewed journal that considers articles on all urgent and emergency aspects of medicine, in both practice and basic research. In addition, the journal covers aspects of disaster medicine and medicine in special locations, such as conflict areas and military medicine, together with articles concerning healthcare services in the emergency departments.