Does Teamwork Mediate Relationship between Partner Familiarity and EMT Injuries?

团队合作是否可以调节搭档熟悉度与急救医疗人员受伤之间的关系？

• 批准号: 8240605
• 负责人: Paul D Patterson
• 金额: $ 19.36万
• 依托单位: UNIVERSITY OF PITTSBURGH AT PITTSBURGH
• 依托单位国家: 美国
• 财政年份: 2012
• 资助国家: 美国
• 起止时间: 2012-07-01 至 2014-06-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8240605
• 关键词: Does; Teamwork; Mediate; Relationship; between

DESCRIPTION (provided by applicant): Emergency Medical Technicians (EMTs) are at a significantly greater risk of death and injury at work than the general population. Annually, 12.7 out of every 100,000 EMTs die in the line of duty; a rate more than twice the national workplace average. On the job illnesses, back sprains, needle sticks, and other non-fatal injuries affect between 3.0 and 8.1 out of every 100 EMTs nationwide. The annual rate of non-fatal injuries has reached epidemic proportions in some EMS agencies, where the rate has risen to over 34%. There is reason to believe that partner familiarity and teamwork are associated with injury. In some agencies, EMTs may work with more than 50 different partners annually and have limited exposure to other partners in the agency. In these situations, EMTs may have never trained together and work with a limited understanding of their partner's expertise. Prior research in aviation link this type of configuration to accidents, errors, and poor teamwork engagement. Similar research in EMS does not exist. We hypothesize that fatal and non-fatal EMT injuries occur more frequently among less familiar partners and among partners that fail to engage in positive teamwork behaviors such as frequent communication. We seek to accomplish the following aims: We aim to 1) examine the relationship between partner familiarity and fatal and non-fatal injuries among EMTs. For this aim, we will access a master database of employee shift records and OSHA 300 injury logs from the nation's largest ambulance corporation (www.AMR.net). A sample size of 500 EMTs gives over 99% power to detect an odds ratio of injury of 2.0 for a 1- standard deviation change in familiarity. Aim 2): To examine the relationship between partner familiarity and EMT perceptions of teamwork. Aim 3): Examine the relationship between partner familiarity, perceptions of teamwork, and injuries. We have a unique opportunity to make a significant contribution to the literature and impact the industry by establishing benchmarking data and answer questions previously unanswered in the published literature. We will use this study's findings to develop an R01 application to test the effectiveness of injury and safety programs conditioned on the relationships between partner familiarity, teamwork, and injury. PUBLIC HEALTH RELEVANCE: Emergency Medical Technicians (EMTs) are at a significantly greater risk of death and injury at work than the general population. EMTs are unique because they work in teams of two with different partners over time. We believe that lack of familiarity and teamwork among EMT partners contributes to injuries. We will test this hypothesis with data from the nation's largest private ambulance company. We will develop injury prevention programs conditioned on findings from this project. !

描述（由申请人提供）：紧急医疗技术人员（EMT）在工作中死亡和受伤的风险比一般人群要大得多。每年，每10万名EMT中就有12.7人在执行任务时死亡，这一比例是全国工作场所平均水平的两倍多。在全国范围内，每100名急救人员中就有3.0至8.1人受到职业疾病、背部扭伤、针刺和其他非致命伤害的影响。在一些EMS机构，非致命伤害的年发生率已达到流行病的比例，该比例已上升到34%以上。 有理由相信，伙伴的熟悉程度和团队合作与受伤有关。在一些机构，EMT每年可能与50多个不同的合作伙伴合作，与机构内其他合作伙伴的接触有限。在这些情况下，EMT可能从未一起接受过培训，并且对其合作伙伴的专业知识了解有限。以前的航空研究将这种类型的配置与事故，错误和糟糕的团队合作联系起来。在EMS中没有类似的研究。我们假设，致命和非致命的EMT伤害更频繁地发生在不太熟悉的合作伙伴和合作伙伴之间，未能参与积极的团队合作行为，如频繁的沟通。本研究的主要目的是：1）探讨伴侣熟悉度与急诊医学医师致命伤和非致命伤之间的关系。为此，我们将访问美国最大的救护车公司（www.AMR.net）的员工轮班记录和OSHA 300伤害日志的主数据库。500名EMT的样本量提供了超过99%的功效来检测熟悉度变化为1个标准差的2.0的损伤比值比。目的2）：研究伙伴熟悉度与EMT团队合作感知之间的关系。目的3）：检查伙伴熟悉度、团队合作感和受伤之间的关系。 我们有一个独特的机会，通过建立基准数据和回答以前在出版的文献中没有回答的问题，为文献做出重大贡献并影响行业。我们将利用这项研究的结果，开发一个R01应用程序，以测试的有效性，伤害和安全计划的合作伙伴之间的关系熟悉，团队合作，和伤害的条件。 公共卫生关系：紧急医疗技术人员（EMT）在工作中死亡和受伤的风险比一般人群要高得多。EMT是独一无二的，因为他们在两个团队中与不同的合作伙伴一起工作。我们认为，EMT合作伙伴之间缺乏熟悉和团队合作是导致受伤的原因。我们将用全国最大的私人救护车公司的数据来检验这一假设。我们将根据该项目的结果制定伤害预防计划。!