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.

抽象的美国印第安人和阿拉斯加原住民（AI/AN）受汽车的影响不成比例伤害和死亡。作为主权国家，部落通常负责政策，实践，以及基础设施改进以解决这些问题。西北部落流行病学中心（中心）的任务是响应43个西北部落的数据需求，包括汽车伤害相关信息。虽然中心确实提供了国家 - 特定的AI/死亡数据和医院出院伤害数据，部落反复要求当地伤害数据以及崩溃数据以告知决策。我们在对部落的这些要求和需求的回应。我们计划使用经过种族校正的数据源，我们在震中的内部有内部的数据源 - 死亡证书，医院出院数据和创伤登记处 - 评估MV的幅度伤害差异，并将伤害数据报告为尽可能的局部水平。我们也会利用未纠正种族的其他数据源，包括死亡分析报告系统和综合症监测数据（紧急情况下的近实时临床数据部门，紧急护理设施和其他医疗诊所），以阐明伤害严重程度和对这些数据进行质量改进必要的。我们将使用定性数据来完成这些定量数据，以帮助我们了解问题的背景，确定部落需要在何处增加容量，并画出AI/A机动车伤害和死亡的更完整的图片。因为汽车伤害属于多个不同部门的工作范围 - 规划，执法，运输，政策和健康 - 信息和数据的使用可以脱节。该建议将汇集这些领域的专家，以回应数据，识别和协助质量改进工作，并确保分析和报告对于各种能力的决策者来说都是有用的。