Development of a police officer stress algorithm to prevent adverse events: A mixed-methods approach

项目总结 Katelyn Jetelina博士是华盛顿大学流行病学系的博士后研究员 德克萨斯大学公共卫生学院。她正在寻求三年的资助，通过 研究科学家发展奖(K01)。Jetelina博士进行了一项研究，以检查急性和 通过评估应对机制和应对机制等反应结果的影响来应对执法的长期压力 过度使用武力，对军官健康和安全的影响。这一研究领域具有重要意义，因为最近， 明显的担忧，在很大程度上将反应结果框定为警察管理不善，而不是职业 健康和安全。Jetelina博士的长期职业目标是成为一名独立调查员和一名混合- 方法通过专家咨询，制定系统干预措施，降低警民伤害发生率。 在目前的提案中，Jetelina博士概述了在整个奖项过程中要实现的五个短期目标 这一时期旨在将她的量化技能与新的方法论技术联系起来。这些是：1)至 积累强大的定性方法知识基础；2)接受混合方法的正式培训 设计；3)学习利益相关者参与的适当技术和流程；4)扩展她 当前警官健康知识用于社区警察培训；以及5)使自己适应 团队科学的科学。这些目标将通过由多个 由资深研究人员组成的学科团队，参加国家研讨会和会议，重点是 课程作业和拟议的研究。 拟议的研究计划旨在促进Nora部门：公共安全，跨部门：创伤性 伤害预防和战略目标5：评估利益相关者收集的信息来源，这些来源可能会得到加强 对执法人员进行有效的职业健康安全监督。这项研究将确定 诱发汇聚在一起的多维因素造成达拉斯警察局的高压力呼叫 (DPD)使用混合方法设计的警官。具体地说，目标是：1)确定与以下内容相关的主题 通过结构化观察连续的高压力呼叫和当前的压力减压技术， 重点小组，并在DPD官员中分发压力调查；2)建立一个多层次的数据库，将 通过对新的和先前存在的数据进行三角测量，在压力连续范围内对服务呼叫进行分类 DPD来源；以及3)通过评估统计数据来测试综合数据库的预测能力 多层次因素与不良事件(如伤害)之间的关系。确定预测因素 对高压力呼叫做出最大贡献有助于通知R01应用程序Jetelina博士将在哪里 开发一个新的计算机辅助调度系统，该系统将考虑到警察的复合压力 评估是否降低了警官(和市民)受伤的可能性。

PROJECT SUMMARY Dr. Katelyn Jetelina is a postdoctoral Research Associate in the Department of Epidemiology at the University of Texas, School of Public Health. She is seeking three years of funding through the Mentored Research Scientist Development Award (K01). Dr. Jetelina conducts research in examining the acute and chronic stresses of law enforcement by evaluating the effects reactive outcomes, like coping mechanisms and excessive use-of-force, on officer health and safety. This area of study is significant due to the recent, highly visible concern that has largely framed reactive outcomes as police mismanagement rather than occupational health and safety. Dr. Jetelina’s long-term career goals are to become an independent investigator and a mixed- methods expert, and to develop a system-level intervention to reduce rates of police officer and citizen injury. In the current proposal, Dr. Jetelina outlines five short-term goals to be achieved throughout the award period that are intended to link her quantitative skills to new methodological techniques. These are: 1) to accumulate a strong knowledge base in qualitative methodology; 2) to gain formal training in mixed-methods design; 3) to learn the appropriate techniques and processes for stakeholder engagement; 4) to extend her current knowledge of officer health to community police based training; and 5) to orient herself with the science of team science. These goals will be achieved through a combination of mentoring by a multi- disciplinary team of established researchers, attendance at national workshops and conferences, focused coursework, and the proposed study. The proposed research plan seeks to contribute to the NORA Sector: Public Safety, Cross-sector: Traumatic Injury Prevention, and Strategic Goal 5: Evaluate information sources collected by stakeholders that may be enhanced to conduct effective occupational health and safety surveillance among law enforcement workers. This study will identify predisposing multi-dimensional factors that converge to create high-stress calls for Dallas Police Department (DPD) officers using a mixed-methods design. Specifically, the aims are: 1) To identify themes associated with consecutive high-stress calls and current stress decompression techniques through structured observations, focus groups, and distributing a stress survey among DPD officers; 2) To build a multi-level database that will classify calls for service on a stress continuum scale by triangulating new and pre-existing data from multiple DPD sources; and 3) To test the predictive capability of the integrated database, by evaluating statistical relationships between multi-level factors and adverse events (e.g. injury). Identifying predictors that contribute the greatest to high-stress calls is instrumental to inform a R01 application where Dr. Jetelina will develop a new computer-assisted dispatch system, which would take into account compound stress of a police officer’s shift and evaluate whether it reduces the likelihood of officer (and citizen) injury.