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

西北部落 EpiCenter 合作改善机动车伤害数据的使用

• 批准号: 9924285
• 负责人: JODI A LAPIDUS
• 金额: $ 45.62万
• 依托单位: NORTHWEST PORTLAND AREA INDIAN HLTH BD
• 依托单位国家: 美国
• 财政年份: 2018
• 资助国家: 美国
• 起止时间: 2018-09-06 至 2022-04-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/9924285
• 关键词: Accident and Emergency department; Accidental Injury; Address; Advisory Committees; Affect; Age; Alaska Native; American Indians; Area; Awareness; Cessation of life; Characteristics; Child; Clinic; Clinical Data; Collaborations; Communities; Complement; Data; Data Set; Data Sources; Databases; Death Certificates; Death Rate; Decision Making; Emergency department visit; Ensure; Epidemiology; Evaluable Disease; Future; Grant; Health; Health Sciences; Health Status; Health care facility; Health education; Hospitalization; Hospitals; Idaho; Individual; Infrastructure; Injury; Intervention; Interview; Law Enforcement; Lead; Leadership; Link; Literature; Maps; Medical; Modernization; Monitor; Morbidity - disease rate; Motor Vehicles; Not Hispanic or Latino; Oregon; Outcome; Paint; Pilot Projects; Police; Policies; Population; Public Health; Public Health Schools; Publishing; Race; Registries; Reporting; Resolution; Role; Safety; Severities; Source; System; Time; Transportation; Trauma; Tribal group; Tribes; Universities; Vehicle crash; Vital Statistics; Washington; Work; data quality; design; disease registry; evidence base; fall injury; health care delivery; health care service utilization; health data; improved; insight; member; mortality; motor vehicle injury; public health intervention; repository; response; restraint; surveillance data; syndromic surveillance; trend; tribal community; tribal health; tribal lands; tribal organization; urgent care

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.

摘要 美国印第安人和阿拉斯加原住民（AI/AN）受到机动车的影响不成比例 伤亡人数作为主权国家，部落往往负责政策，做法， 和基础设施的改善来解决这些问题。西北部落流行病学 中心（EpiCenter）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EpiCenter确实提供了国家- 具体的AI/AN死亡数据和出院受伤数据，部落一再要求 当地受伤数据以及碰撞数据，为决策提供信息。我们于年发起了这一提议 满足这些部落的需求和要求。 我们计划使用我们在EpiCenter内部拥有的种族校正数据源-死亡 证书、出院数据和创伤登记-以评价MV的大小 伤害差异，并报告和地图伤害数据，以尽可能当地的水平。我们还将 利用其他未经种族校正的数据源，包括死亡分析报告 系统和症状监测数据（来自急诊室的近实时临床数据） 部门、紧急护理设施和其他医疗诊所），以说明受伤的严重程度， 了解与崩溃有关的因素。我们将对这些数据进行质量改进， 必要我们将用定性数据来补充这些定量数据， 了解问题的背景，确定哪些部落需要提高能力， 更全面地描述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、运输、政策和卫生-信息和数据的使用 可能是脱节的。这项建议将汇集这些领域的专家， 数据，识别和协助质量改进工作，并确保分析和报告 对各种能力的决策者都很有用。