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

基本信息

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
项目类别：
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

项目摘要

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.

抽象的美洲印第安人和阿拉斯加原住民 (AI/AN) 受到机动车辆的影响尤为严重作为主权国家，部落往往对政策、做法、以及改善基础设施来解决这些问题。中心 (EpiCenter) 的任务是响应 43 个西北部落的数据需求，包括机动车辆伤害相关信息，而 EpiCenter 确实提供了状态- 具体的AI/AN死亡数据和出院受伤数据，部落多次要求当地伤害数据以及碰撞数据为决策提供依据。回应部落的这些请求和需求。我们计划使用 EpiCenter 内部经过种族校正的数据源——死亡证书、出院数据和创伤登记 – 评估 MV 的程度我们还将尽可能地报告和绘制伤害数据。利用未经种族校正的其他数据源，包括死亡分析报告系统和症状监测数据（来自紧急情况的近实时临床数据）科室、紧急护理机构和其他医疗诊所），以说明伤害的严重程度和我们将进行质量改进以了解这些数据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，确定部落需要增强能力的地方，并更全面地描绘 AI/AN 机动车辆伤害和死亡的情况。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、政策和健康——信息和数据的使用该提案将汇集这些领域的专家来回应。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有用。