A NW Tribal EpiCenter Collaboration to Improve the Use of Motor Vehicle Injury Data

摘要 美国印第安人和阿拉斯加原住民(AI/AN)受机动车的影响不成比例 伤亡情况。作为主权国家，部落往往对政策、做法、 以及改善基础设施以解决这些问题。西北部落流行病学 中心(震中)的任务是响应43个西北部落的数据需求， 包括机动车伤害相关信息。虽然震中确实提供了州- 特定的AI/AN死亡数据和出院受伤数据，部落一再要求 当地受伤数据，以及为决策提供参考的撞车数据。我们在#年提出这项建议。 对部落的这些要求和需求作出回应。 我们计划使用我们在震中-死亡中心拥有的经过种族校正的数据源 证书、出院数据和创伤登记-以评估MV的规模 伤害差异，并将伤害数据报告和映射到尽可能本地的水平。我们还将 使用其他未纠正种族的数据源，包括死亡率分析报告 系统和症状监测数据(来自急诊的近乎实时的临床数据 部门、紧急护理设施和其他医疗诊所)，以说明伤害严重程度和 了解与崩盘相关的因素。我们将对这些数据进行质量改进，因为 这是必要的。我们将用定性数据来补充这些定量数据，以帮助我们 了解问题的背景，确定部落需要增加容量的地方，并 描绘一幅更完整的AI/AN机动车伤亡情况。 因为机动车伤害属于几个不同部门的工作范围- 规划、执法、交通、政策和卫生--信息和数据的使用 可以是脱节的。这项提案将汇集这些领域的专家，以应对 数据，确定并协助质量改进工作，并确保分析和报告 对不同身份的决策者都很有用。

Abstract American Indians and Alaska Natives(AI/AN) are disproportionately affected by motor vehicle injuries and fatalities. As sovereign nations, tribes are often responsible for policies, practices, and infrastructure improvements to address these problems. The Northwest Tribal Epidemiology Center (The EpiCenter) is tasked with responding to the data needs of the 43 NW Tribes, including motor vehicle injury related information. While The EpiCenter does provide state- specific AI/AN fatality data and hospital discharge injury data, tribes have repeatedly requested local injury data, as well as crash data to inform decision-making. We initiate this proposal in response to these requests and needs of the tribes. We plan to use race-corrected data sources we have in-house at the EpiCenter – death certificates, hospital discharge data and trauma registries – to evaluate the magnitude of the MV injury disparity and to report and map injury data to as local of level as possible. We will also utilize other data sources that are not race corrected, including Fatality Analysis Reporting System, and syndromic surveillance data (near real-time clinical data from Emergency Departments, urgent care facilities and other medical clinics) to illuminate injury severity and understand crash-related factors. We will undertake quality improvement of these data as necessary. We will complement these quantitative data with qualitative data to help us understand the context of the problem, identify where tribes need increased capacity, and to paint a more complete picture of AI/AN motor vehicle injuries and deaths. Because motor vehicle injuries fall under the scope of work of several different departments – planning, law enforcement, transportation, policy and health – information and the use of data can be disjointed. This proposal will bring together experts from these fields to respond to the data, identify and assist in quality improvement efforts, and ensure that analyses and reports are useful to decision-makers in various capacities.