International Emergency Nursing最新文献_第10页

Empowering emergency nurses in crisis response – A quality improvement framework for enhanced preparedness and decision-making 在危机应对中赋予急救护士权力——加强准备和决策的质量改进框架。

IF 1.8 4区医学 Q2 NURSING

International Emergency Nursing

Pub Date : 2025-11-17 DOI: 10.1016/j.ienj.2025.101711

Hesam Seyedin , Shandiz Moslehi , Sajjad Narimani

Introduction

Emergency nurses face significant challenges in crisis response, including cognitive overload and institutional barriers, which compromise patient outcomes. This quality improvement (QI) initiative aimed to enhance crisis preparedness through evidence-based interventions, addressing gaps in risk perception, decision-making, and self-efficacy.

Method

A pre/post-intervention study was conducted at two academic medical centers (Level I trauma centers)150 emergency nurses. Interventions included simulation-based training, AI-driven decision-support tools, and protocol reforms. Data were collected at baseline, post-intervention, and six-month follow-up. Primary outcomes included risk perception accuracy, decision latency, and self-efficacy, which were analyzed using paired t-tests, repeated measures ANCOVA, control charts, and chi-square tests.

Results

Post-intervention, nurses demonstrated a 32 % improvement in risk perception accuracy (p < 0.01) and a 26 % reduction in decision-making time (p < 0.05). Self-efficacy scores nearly doubled, rising from 45 % to 89 %. ED-specific process outcomes included a 40 % reduction in triage errors and a 35 % decrease in missed deteriorations with AI support. Improvements were sustained at the 6-month follow-up.

Discussion

The multimodal approach yielded statistically and clinically significant improvements, surpassing single-intervention studies. Sustainable implementation requires institutional support for technology integration and policy reforms. These findings advocate for widespread adoption of combined simulation, AI, and protocol strategies to empower nurses in crisis response.

急诊护士在危机应对中面临着重大挑战，包括认知超载和制度障碍，这些都会影响患者的预后。这一质量改进（QI）倡议旨在通过基于证据的干预措施加强危机准备，解决风险认知、决策和自我效能方面的差距。方法：对两所专科医疗中心（一级创伤中心）的150名急诊护士进行干预前/干预后研究。干预措施包括基于模拟的培训、人工智能驱动的决策支持工具和协议改革。在基线、干预后和6个月随访时收集数据。主要结局包括风险感知准确性、决策延迟和自我效能，采用配对t检验、重复测量ANCOVA、控制图和卡方检验进行分析。结果：干预后，护士的风险感知准确性提高了32% (p)。讨论：多模式方法在统计学和临床上都取得了显著的改善，超过了单一干预研究。可持续实施需要对技术整合和政策改革提供体制支持。这些发现提倡广泛采用模拟、人工智能和协议相结合的策略，以增强护士在危机应对中的能力。

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引用次数: 0

Pediatric emergency nurses’ knowledge, competence, and barriers in trauma-informed care: A cross-sectional study 儿科急诊护士在创伤知情护理中的知识、能力和障碍：一项横断面研究。

IF 1.8 4区医学 Q2 NURSING

International Emergency Nursing

Pub Date : 2025-11-16 DOI: 10.1016/j.ienj.2025.101714

Amina Elzeiny , Ahmed Loutfy , Sameer A. Alkubati , Mohamed Ali Zoromba , Ahmed Hashem El-Monshed , Ahmed Salah Ali , Fatma Sayed Abdelaziz Mohamed

Background

pediatric emergency nurses play a critical role in caring for children who have experienced traumatic events in the emergency departments. Trauma-informed care (TIC) is an essential approach that considers the psychological, behavioral, and social implications of trauma. This study aims to assess pediatric emergency nurses’ knowledge, perceived competence, and barriers related to TIC in emergency departments (EDs).

Methods

A cross-sectional design was conducted with 106 pediatric emergency nurses working in the pediatric emergency departments of three public hospitals in Egypt. Data was collected through an interview questionnaire with permission using the TIC Provider Survey Version 2.0 – Pediatric Survey. Descriptive statistics and multiple regression analysis were used to analyze the data.

Results

Most pediatric emergency nurses in emergency departments were female (69.8 %). Their mean knowledge score was 39.16 (SD = 9.03), and they expressed favorable opinions about TIC with a mean score of 22.37 (SD = 4.26) (range: 9 to 28). Self-rated competence in specific TIC aspects varied, but providers demonstrated favorable views toward incorporating TIC into their practice overall. The top three significant barriers to TIC implementation were: (1) “Confusing or unclear information on TIC” (67 %), (2) “Scope of practice constraints” (46.2 %), and (3) “Lack of training” (66 %).

Conclusions

Although pediatric emergency nurses in emergency departments demonstrated limited knowledge, with only 4 out of 13 items answered correctly by more than 50% of participants, their overall mean score suggests moderate awareness TIC. However, their practical application emained deficient. Prioritizing enhanced education and training can improve recognition and management of psychosocial and behavioral consequences, positively impacting children’s and parents’ outcomes while fostering a trauma-sensitive culture among pediatric emergency nurses.

背景：儿科急诊护士在急诊科照顾经历创伤性事件的儿童方面发挥着关键作用。创伤知情护理（TIC）是一种必要的方法，考虑心理，行为和社会影响的创伤。本研究旨在评估急诊科儿科急诊科护士的TIC相关知识、感知能力及障碍。方法：采用横断面设计对埃及3家公立医院儿科急诊科106名儿科急诊护士进行调查。数据是通过访谈问卷收集的，并获得许可使用TIC提供者调查2.0版-儿科调查。采用描述性统计和多元回归分析对数据进行分析。结果：急诊科儿科急诊护士以女性为主（69.8%）。他们的平均知识得分为39.16 (SD = 9.03)，对TIC的平均评价得分为22.37 (SD = 4.26)（范围为9 ~ 28）。在特定的议会方面，自评能力各不相同，但提供者对将议会纳入其整体实践表现出良好的看法。实施议会的三大主要障碍是：(1)“议会资料混乱或不清楚”（67%），(2)“业务范围受限制”（46.2%），以及(3)“缺乏培训”（66%）。结论：虽然急诊科的儿科急诊护士表现出有限的知识，超过50%的参与者在13个项目中只有4个回答正确，但他们的总体平均得分表明他们对TIC有中等程度的认识。然而，它们的实际应用仍然不足。优先加强教育和培训可以提高对心理社会和行为后果的认识和管理，对儿童和父母的结果产生积极影响，同时在儿科急诊护士中培养对创伤敏感的文化。

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引用次数: 0

The applicability of artificial intelligence in managing emergency patients: An umbrella review 人工智能在急诊病人管理中的适用性：综述

IF 1.8 4区医学 Q2 NURSING

International Emergency Nursing

Pub Date : 2025-11-15 DOI: 10.1016/j.ienj.2025.101710

Wesam Taher Almagharbeh , Maryam Alharrasi , Moustaq Karim Khan Rony , Sarmin Kabir , Daifallah M. Alrazeeni , Fazila Akter

Background

Artificial intelligence (AI) is increasingly reshaping emergency medicine and nursing by enabling faster, more accurate, and scalable decision-making. In high-pressure settings such as emergency departments (EDs), AI technologies have shown promise in improving triage, diagnostics, clinical decision-making, and operational efficiency. Despite this potential, the current body of evidence remains fragmented, with a lack of comprehensive synthesis across diverse AI applications.

Aim

This umbrella review aimed to synthesize existing review-level evidence on the applicability of artificial intelligence in managing emergency patients.

Methods

A systematic umbrella review was conducted following PRISMA guidelines. Systematic reviews, scoping reviews, and narrative syntheses focusing on AI in emergency settings were identified through comprehensive searches in five major databases. The search covered studies published between January 2013 and March 2025. Data were extracted on AI types, clinical focus areas, implementation strategies, outcomes, and barriers. The Joanna Briggs Institute (JBI) checklist was used for quality assessment, and findings were synthesized thematically.

Results

A total of 24 eligible reviews were included. The analysis revealed AI’s significant impact across four major domains: triage and risk stratification, diagnostic support, clinical decision-making, and workflow optimization. Tools such as machine learning and deep learning improved diagnostic accuracy, decision consistency, and patient flow. However, barriers such as interoperability issues, lack of explainability, data privacy concerns, and legal ambiguity were consistently reported.

Conclusion

AI holds transformative potential in emergency patient management. While clinical benefits are clear, widespread adoption depends on addressing technical, ethical, and regulatory challenges. Future efforts should focus on explainable, validated, and user-integrated AI systems to ensure responsible and equitable implementation in emergency care.

人工智能（AI）通过实现更快、更准确和可扩展的决策，正在日益重塑急诊医学和护理。在诸如急诊科（ed）等高压环境中，人工智能技术在改善分类、诊断、临床决策和运营效率方面显示出了希望。尽管有这种潜力，但目前的证据仍然是碎片化的，缺乏对各种人工智能应用的全面综合。目的本综述旨在综合现有关于人工智能在急诊患者管理中的适用性的综述级证据。方法按照PRISMA指南进行系统的综合评价。通过对五个主要数据库的全面搜索，确定了以紧急情况下人工智能为重点的系统评价、范围评价和叙事综合。该研究涵盖了2013年1月至2025年3月期间发表的研究。提取有关人工智能类型、临床重点领域、实施策略、结果和障碍的数据。乔安娜布里格斯研究所（JBI）的检查表用于质量评估，并对结果进行主题综合。结果共纳入符合条件的评价24篇。分析显示，人工智能在四个主要领域产生了重大影响：分诊和风险分层、诊断支持、临床决策和工作流程优化。机器学习和深度学习等工具提高了诊断准确性、决策一致性和患者流程。然而，诸如互操作性问题、缺乏可解释性、数据隐私问题和法律模糊性等障碍一直被报道。结论人工智能在急诊患者管理中具有变革潜力。虽然临床效益很明显，但广泛采用取决于解决技术、伦理和监管方面的挑战。未来的努力应侧重于可解释的、经过验证的和用户集成的人工智能系统，以确保在急诊护理中负责任和公平地实施。

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引用次数: 0

Emergency nurses’ roles in supporting surrogate decision-making through remote family meetings: Insights from COVID-19 visitation restrictions 急诊护士在通过远程家庭会议支持替代决策中的作用：来自COVID-19探视限制的见解

IF 1.8 4区医学 Q2 NURSING

International Emergency Nursing

Pub Date : 2025-11-14 DOI: 10.1016/j.ienj.2025.101709

Sadami Momiyama , Hayato Katayanagi , Makoto Nakabayashi , Tomoko Fujino , Yoshiko Sato , Takafumi Noguchi , Hidekazu Hishinuma

引用次数: 0

Development of a core competency assessment framework for frontline nurses responding to infectious disease emergencies: A three-year initiative at a regional medical center 为应对传染病紧急情况的一线护士制定核心能力评估框架：一个区域医疗中心的三年倡议

IF 1.8 4区医学 Q2 NURSING

International Emergency Nursing

Pub Date : 2025-11-01 DOI: 10.1016/j.ienj.2025.101703

Shen-Ting Xu , Rui-Lan Li , Jian-Feng Zhang , Jian-Qin Chen , Qin-Fang Chen , Jian-Ying Zhou , Zhen-Juan Dai

Objective

The aim of this study was to develop a scientifically grounded core competency assessment framework for frontline nurses engaged in infectious disease emergency response.

Methods

An initial index system for evaluating core competencies was formulated through a comprehensive review of the literature and structured group discussions. The Delphi method was used to conduct two rounds of expert consultation between August and November 2024, involving 18 experts in the field.

Results

The expert response rate was 100% in both consultation rounds. The authority coefficients for the experts were 0.886 and 0.953 for the first and second rounds, respectively. Coefficients of variation ranged from 0 to 0.357 in the first round and from 0 to 0.115 in the second. The Kendall’s concordance coefficients for the first to fourth-level indicators were 0.222, 0.210, 0.330, and 0.339 in the first round, and 0.325, 0.307, 0.389, and 0.374 in the second round. The finalized framework consisted of 3 first-level indicators, 13 second-level indicators, 42 third-level indicators, and 106 fourth-level indicators.

Conclusion

The resulting core competency assessment framework demonstrates scientific rigor and comprehensiveness. It offers a practical reference for the selection and training of primary care nursing personnel during infectious disease emergencies and supports the development of emergency nursing teams coordinated by regional medical centers.

目的建立传染病应急一线护士核心能力评估体系。方法通过对文献的全面回顾和有组织的小组讨论，制定了评估核心竞争力的初步指标体系。采用德尔菲法，于2024年8月至11月进行了两轮专家咨询，共有18名专家参与。结果两轮咨询专家应答率均为100%。第一轮和第二轮专家的权威系数分别为0.886和0.953。第一轮的变异系数为0 ~ 0.357，第二轮的变异系数为0 ~ 0.115。第一、四级指标的肯德尔一致性系数分别为0.222、0.210、0.330和0.339，第二轮的肯德尔一致性系数分别为0.325、0.307、0.389和0.374。最终确定的框架包括3个一级指标、13个二级指标、42个三级指标和106个四级指标。结论构建的核心能力评估框架具有科学性、严谨性和全面性。为传染病突发事件中基层护理人员的选拔和培训提供了实践参考，支持了区域医疗中心协调的急诊护理队伍的发展。

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引用次数: 0

Response to the comments on “A systematic review on suction-based airway clearance devices for foreign body airway obstruction” 对“以吸痰为基础的异物气道阻塞清除装置系统综述”评论的回应

IF 1.8 4区医学 Q2 NURSING

International Emergency Nursing

Pub Date : 2025-10-30 DOI: 10.1016/j.ienj.2025.101708

Francesco Limonti , Natalino Palermo , Miguel Angel Paludi , Angelica Semeraro , Daniele Ermanno , Sandro Ganzino , Nicola Ramacciati

引用次数: 0

Noise sensitivity, attention deficit-hyperactivity levels and individualized care behaviors of nurses working in the emergency department: A descriptive and cross-sectional multicenter study 急诊科护士的噪声敏感性、注意缺陷-多动水平和个性化护理行为：一项描述性和横断面的多中心研究

IF 1.8 4区医学 Q2 NURSING

International Emergency Nursing

Pub Date : 2025-10-30 DOI: 10.1016/j.ienj.2025.101701

Ezgi Yıldız , Tuba Karabey , Şerife Karagözoğlu

Aim

This study was conducted to determine the noise sensitivity, attention deficit-hyperactivity level, and individualized care behaviors of nurses working in the emergency department.

Methods

The descriptive and cross-sectional multicenter study was conducted with 232 nurses working in the emergency department between December 2023 and February 2024. Data were collected using the Personal Information Form, Weinstein Noise Sensitivity Scale, Individualised Care Scale, and Adult Attention Deficit-Hyperactivity Disorder Self-Report Scale. We adhered to the STROBE checklist for reporting.

Results

The mean age of the nurses was 30.33 ± 7.12 years (Min:23; Max:62) and 63.4 % were female. The mean total score of the Weinstein Noise Sensitivity Scale was 91.09 ± 16.06, the mean total score of Individualised Care Scale-A was 3.56 ± 0.70, the mean total score of Individualised Care Scale-B was 3.72 ± 0.74, and the mean total score of Attention Deficit-Hyperactivity Disorder Self-Report Scale was 28.40 ± 9.57.

Conclusion

It was found that nurses had high levels of noise sensitivity, individualized care behaviors, and attention deficit hyperactivity. In the emergency department, high noise levels, distraction and the need for rapid intervention may make nursing care difficult. It is recommended that noise sources be identified and noise reduction interventions be made.

目的了解急诊科护士的噪声敏感性、注意缺陷-多动水平及个性化护理行为。方法对2023年12月至2024年2月在急诊科工作的232名护士进行描述性、横断面多中心研究。数据采用个人信息表、温斯坦噪声敏感量表、个性化护理量表和成人注意缺陷-多动障碍自述量表收集。我们坚持使用STROBE检查表进行报告。结果护理人员平均年龄30.33±7.12岁（最小23岁，最大62岁），女性占63.4%。温斯坦噪声敏感量表的平均总分为91.09±16.06分，个性化护理量表- a的平均总分为3.56±0.70分，个性化护理量表- b的平均总分为3.72±0.74分，注意缺陷-多动障碍自述量表的平均总分为28.40±9.57分。结论护理人员存在较高的噪声敏感性、个性化护理行为和注意缺陷多动。在急诊科，高噪音、干扰和需要快速干预可能使护理困难。建议找出噪声源，并采取措施减低噪音。

{"title":"Noise sensitivity, attention deficit-hyperactivity levels and individualized care behaviors of nurses working in the emergency department: A descriptive and cross-sectional multicenter study","authors":"Ezgi Yıldız , Tuba Karabey , Şerife Karagözoğlu","doi":"10.1016/j.ienj.2025.101701","DOIUrl":"10.1016/j.ienj.2025.101701","url":null,"abstract":"<div><h3>Aim</h3><div>This study was conducted to determine the noise sensitivity, attention deficit-hyperactivity level, and individualized care behaviors of nurses working in the emergency department.</div></div><div><h3>Methods</h3><div>The descriptive and cross-sectional multicenter study was conducted with 232 nurses working in the emergency department between December 2023 and February 2024. Data were collected using the Personal Information Form, Weinstein Noise Sensitivity Scale, Individualised Care Scale, and Adult Attention Deficit-Hyperactivity Disorder Self-Report Scale. We adhered to the STROBE checklist for reporting.</div></div><div><h3>Results</h3><div>The mean age of the nurses was 30.33 ± 7.12 years (Min:23; Max:62) and 63.4 % were female. The mean total score of the Weinstein Noise Sensitivity Scale was 91.09 ± 16.06, the mean total score of Individualised Care Scale-A was 3.56 ± 0.70, the mean total score of Individualised Care Scale-B was 3.72 ± 0.74, and the mean total score of Attention Deficit-Hyperactivity Disorder Self-Report Scale was 28.40 ± 9.57.</div></div><div><h3>Conclusion</h3><div>It was found that nurses had high levels of noise sensitivity, individualized care behaviors, and attention deficit hyperactivity. In the emergency department, high noise levels, distraction and the need for rapid intervention may make nursing care difficult. It is recommended that noise sources be identified and noise reduction interventions be made.</div></div>","PeriodicalId":48914,"journal":{"name":"International Emergency Nursing","volume":"83 ","pages":"Article 101701"},"PeriodicalIF":1.8,"publicationDate":"2025-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145416384","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

The use of machine learning in predicting clinical outcomes in emergency pre-examination triage: A systematic review of the literature 机器学习在预测紧急检查前分诊临床结果中的应用：文献系统综述。

IF 1.8 4区医学 Q2 NURSING

International Emergency Nursing

Pub Date : 2025-10-28 DOI: 10.1016/j.ienj.2025.101705

Yao Jiang , Jing Zhao , Hu Juan

Objective

To investigate the application status of machine learning model in the prediction of clinical outcomes in emergency pre-examination and triage, and to analyze its characteristics, advantages and disadvantages, so as to add an objective tool for medical staff to predict the clinical outcome of patients in the process of pre-examination and triage.

Methods

The literature review method was used to search PubMed, Web of Science, Embase, Cochrane Library, China Biomedical Literature Database, CNKI, Wanfang, VIP and other databases, and the literature that met the inclusion criteria was screened and the specific information of the machine learning model in the literature was extracted.

Results

A total of 12 articles that met the criteria were included, including 5 machine learning models, which were mainly used in clinical outcomes such as hospital admission, death, intensive care unit admission, hospital transfer, and home.

Conclusion

The overall sensitivity of the machine learning model is high, but there are few literature studies on the prediction of clinical outcomes for pre-test triage, so relevant large-sample studies should be carried out in clinical practice to achieve the combination of subjective and objective evaluation tools to improve the accuracy of prediction and ensure patient safety.

目的：探讨机器学习模型在急诊预诊分诊临床结果预测中的应用现状，分析其特点、优缺点，为医务人员在预诊分诊过程中预测患者临床结果增加一个客观的工具。方法：采用文献综述法，检索PubMed、Web of Science、Embase、Cochrane Library、中国生物医学文献数据库、CNKI、万方、VIP等数据库，筛选出符合纳入标准的文献，提取文献中机器学习模型的具体信息。结果：共纳入符合标准的文献12篇，包括5个机器学习模型，主要用于住院、死亡、重症监护病房入住、转院、回家等临床结局。结论：机器学习模型整体敏感性较高，但对预试分诊临床结局预测的文献研究较少，在临床实践中应开展相关大样本研究，实现主客观评价工具的结合，提高预测准确性，保障患者安全。

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引用次数: 0

Effect of sleep quality on alarm fatigue among emergency nurses 睡眠质量对急诊护士报警疲劳的影响

IF 1.8 4区医学 Q2 NURSING

International Emergency Nursing

Pub Date : 2025-10-28 DOI: 10.1016/j.ienj.2025.101706

Asuman Şener , Tuğba Çınarlı , Dilan Köse

Background

Considering that patient care is provided for 24 h without interruption in the emergency service, the work roles in this service require a state of full wakefulness. Alarm fatigue is defined as the main cause of clinical alarm management problems. Alarm fatigue, that cannot be managed in a full sense, may make desensitize emergency nurses and may endanger patient safety.

Aim

The aim of the study was to determine the effect of sleep quality on alarm fatigue of emergency nurses.

Methods

This research used the descriptive, cross-sectional and correlational study pattern. The study was completed with 183 emergency nurses from May-November 2023. Data were collected using the Descriptive Information Form, Pittsburgh Sleep Quality Index (PSQI) and the Nurses’ Alarm Fatigue Scale. Data were analyzed using IBM SPSS V26 program.

Results

Of nurses, 96.2 % worked shifts and 38.8 % stated their monthly working hours were more than 240 h. Of those working shifts, 77.6 % slept after their shift, 56.8 % experienced sleep problems and 43.3 % stated they required support to be able to easily fall asleep. The mean scores on the Nurses’ Alarm Fatigue Scale were 24.98 ± 6.16, while mean scores for the PSQI were 9.08 ± 3.48. There was a statistically significant, low level positive correlation between PSQI scores and Alarm Fatigue Scale scores (r = 0.178). Additionally, the simple linear regression model created with the aim of investigating the effect of PSQI scores on Alarm Fatigue Scale scores was identified to be statistically significant (F = 5.897; p = 0.016).

Conclusion

With the aim of empowering nurses working irregular night shifts in institutions providing health services, offering education and teaching programs should be considered. In conclusion, our research will help to create a safer, more effective and encouraging hospital environment for both patients and emergency service nurses.

背景：考虑到急诊服务是24小时不间断地提供患者护理，该服务中的工作角色需要处于完全清醒的状态。报警疲劳被定义为临床报警管理问题的主要原因。警报疲劳如果不能得到充分的管理，可能会使急诊护士变得麻木，危及患者安全。目的：研究睡眠质量对急诊护士报警疲劳的影响。方法：本研究采用描述性、横断面和相关性研究模式。这项研究是在2023年5月至11月期间由183名急诊护士完成的。采用描述性信息表、匹兹堡睡眠质量指数（PSQI）和护士报警疲劳量表收集数据。数据分析采用IBM SPSS V26软件。结果：96.2%的护士轮班工作，38.8%的护士每月工作时间超过240小时。在这些轮班的护士中，77.6%的人在轮班后睡觉，56.8%的人有睡眠问题，43.3%的人表示他们需要帮助才能轻松入睡。护士报警疲劳量表平均得分为24.98±6.16分，PSQI平均得分为9.08±3.48分。PSQI评分与报警疲劳量表评分之间有统计学意义的低水平正相关（r = 0.178）。此外，为了研究PSQI评分对报警疲劳量表评分的影响而建立的简单线性回归模型被发现具有统计学意义（F = 5.897; p = 0.016）。结论：在医疗卫生服务机构中，应考虑为夜班护士提供教育和教学方案。总之，我们的研究将有助于为病人和急救护士创造一个更安全、更有效和鼓舞人心的医院环境。

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引用次数: 0

The effectiveness of a gate channel device on pain in the pediatric emergency department: A randomized controlled trial 门通道装置在儿科急诊科治疗疼痛的有效性：一项随机对照试验。

IF 1.8 4区医学 Q2 NURSING

International Emergency Nursing

Pub Date : 2025-10-27 DOI: 10.1016/j.ienj.2025.101704

Ted J. Andrews , Jill Fennell , Brian H. Wrotniak , Heather Territo

Objectives

Phlebotomy is an important source of self-reported pain in the pediatric emergency department. The purpose of this study was to compare the effectiveness of Buzzy®, a vibrating cold device, to vapocoolant and control in reducing child-reported and parent-perceived pain during IV placement in the pediatric emergency department.

Methods

Patients ages 6–18 years who required IV insertion in the emergency department were randomized to Buzzy, vapocoolant or control groups. The Faces Pain Scale – Revised was used to assess both patient pain and parent perceived pain.

Results

171 patients were randomized into the 3 groups: 56 in the Buzzy group, 57 in the vapocoolant group and 58 in the control group. Patient-reported FACES pain scores decreased significantly from pre- to post-intervention in the Buzzy group (5.41 ± 2.90 to 3.58 ± 2.87, p < 0.01) but not in the vapocoolant group (4.54 ± 2.65 to 3.84 ± 3.12, not significant), or the control group (5.03 ± 3.01 to 4.57 ± 3.43, not significant). Guardian-reported pain scores also showed significant reductions in the Buzzy group (3.46 ± 2.88 to 1.69 ± 2.28, p < 0.01) and vapocoolant group (3.06 ± 2.93 to 2.24 ± 2.56, p < 0.05), with no significant change in the control group (2.86 ± 2.85 to 2.79 ± 2.84).

Conclusions

This study supports the utility of Buzzy® as a clinically effective resource in the management of phlebotomy related pain and demonstrates that it is as good or better than vapocoolant in the pediatric emergency department.

目的：在儿科急诊科，静脉切开术是自我报告疼痛的一个重要来源。本研究的目的是比较Buzzy®（一种振动冷却装置）与蒸汽冷却剂和控制剂在减少儿童报告和家长感知的儿科急诊科静脉输液疼痛方面的有效性。方法：6-18岁急诊科需要静脉滴注的患者随机分为Buzzy组、vapocoolant组和对照组。面部疼痛量表-修订版用于评估患者疼痛和家长感知疼痛。结果：171例患者随机分为3组：Buzzy组56例，汽化剂组57例，对照组58例。Buzzy组患者报告的面部疼痛评分从干预前到干预后显著下降（5.41±2.90至3.58±2.87,p）。结论：本研究支持Buzzy®作为治疗静脉切开术相关疼痛的临床有效资源的实用性，并证明它在儿科急诊科与蒸汽冷却剂一样好或更好。

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引用次数: 0