African Rigorous Innovative Stroke Epidemiological Surveillance (ARISES)

非洲严格创新中风流行病学监测 (ARISES)

基本信息

批准号：
10411897
负责人：
BRUCE OVBIAGELE
金额：
$ 45.64万
依托单位：
COLLEGE OF MEDICINE, UNIVERSITY OF IBADAN
依托单位国家：
美国
项目类别：
财政年份：
2020
资助国家：
美国
起止时间：
2020-04-01 至 2025-03-31
项目状态：
未结题

来源：
https://reporter.nih.gov/project-details/10411897
关键词：
Advocacy Africa African Car Phone Caring Cause of Death Cessation of life Communities Community Health Computer software Country Dancing Data Development Education Ensure Epidemiologic Monitoring Epidemiological trend Epidemiology Evaluation Evidence based intervention Frequencies Funding Geographic Information Systems Goals Health Health Technology Health care facility Household Income Individual Institutes Intervention Low income Maps Measurement Modeling Monitor Nigeria Notification Outcome Output Ownership Phenotype Policies Population Prevalence Prevention Production Public Health Practice Reporting Research Resource-limited setting Resources Respondent Rural Screening procedure Site Stroke Stroke prevention Surveys System Techniques Telephone Text Messaging Time United States National Institutes of Health Update Ursidae Family authority base burden of illness care systems case finding combat community engagement data format disability epidemiology study improved indexing innovation literacy low and middle-income countries mHealth member novel pilot test rural area rural setting screening sociodemographic factors statistics stroke event stroke outcome thrombolysis tool trend urban setting willingness

项目摘要

PROJECT SUMMARY Stroke is a leading cause of death and disability globally; but its precise burden is not clear in Low-and Middle-Income Countries (LMIC) particularly in Africa. Surveillance systems are almost non-existent in LMIC, where they are needed most, for reliable determination and tracking of the actual burden of stroke, its epidemiological trends and outcomes. Unlike other regions, the few available estimates of the burden of stroke in Africa come from the Global Burden of Diseases (GBD), which are mostly derived from models using unreliable or scanty data. Developing a scalable sustainable rigorous active e-Surveillance system that takes advantage of available mobile-health technology will provide reliable real-time community-based data on the actual burden and determinants of stroke in Africa. This will improve early notification and presentation in an appropriate care facility; and inform the development, implementation and evaluation of effective community-based stroke prevention, other interventions and policies in Africa and other LMIC regions, which bear over 80% of the global burden of stroke. The overall goal of African Rigorous Innovative Stroke Epidemiological Surveillance (ARISES) is to deploy and validate a first-of-its-kind scalable mHealth community-based interactive Stroke Information and Surveillance System (SISS) for reliable measurement and real-time tracking of the population burden of stroke; while simultaneously building sustainable capacity for improving stroke literacy, early presentation and outcome in two pre-existing demographic surveillance sites (DSS): one urban and one rural area in Nigeria. To achieve this, we will leverage resources we previously created including 1) a stroke video documentary for improving stroke literacy and recognition in communities, 2) a culturally-appropriate dance routine for sensitization about stroke, 3) a pictographic tool for screening stroke in communities, and 4) a special software for accurate rigorous phenotyping of stroke. Furthermore, in 1,095 households in Nigeria, we pilot-tested the key components of the e-Surveillance system including text messaging platform which clinicians can use to elicit reports of stroke events remotely and a mHealth platform through which community members can notify health-workers about stroke occurrence or death. About 99% of the community members had easy access to mobile phones; while over 95% expressed ease of communicating via phone calls or text messages, willingness to report stroke events, and/or have their health monitored via the e-Surveillance system. To ensure near-total case inclusion and accurate denominator population, we will continue to map the community sites, update population figures and demographic profiles, and institute a novel multipronged ‘hot and cold pursuit’ case ascertainment technique with door-to-door surveys in the selected DSS integrating orthodox and non-orthodox care systems for sustainability. We will also integrate the SISS into a sustainable care matrix to improve stroke outcome in the DSS. The integration of the novel e-Surveillance, community engagement, and stroke care matrix in ARISES makes it a holistic model, which is scalable to other low resource-settings in the USA and LMIC to improve the ease, accuracy and frequency of production of epidemiological indices of stroke burden while also improving stroke literacy, prevention, early presentation and outcome using mHealth.

项目概要中风是全球死亡和残疾的主要原因；低收入和中等收入国家（LMIC）的负担不明确，特别是在非洲的中低收入国家几乎不存在监控系统。最需要的是可靠地确定和跟踪中风的实际负担，与其他地区不同，其流行病学趋势和结果很少。对非洲中风负担的估计来自全球负担疾病（GBD），主要源自使用不可靠或缺乏的模型开发可扩展、可持续、严格的主动电子监控系统。利用现有的移动医疗技术将提供可靠的关于中风实际负担和决定因素的实时社区数据这将改善非洲的早期通知和适当护理。设施；并为有效性的开发、实施和评估提供信息非洲和非洲的基于社区的中风预防、其他干预措施和政策其他中低收入国家地区的中风负担占全球的 80% 以上。非洲严格创新脑卒中流行病学总体目标 Surveillance (ARISES) 旨在部署和验证首个可扩展的移动医疗基于社区的交互式中风信息和监测系统（SISS）可靠测量和实时跟踪中风人群负担；同时建立可持续能力以提高中风知识，两个现有人口监测站点的早期呈现和结果 (DSS)：尼日利亚一城一乡。为了实现这一目标，我们将利用我们之前创建的资源，包括 1) 一部用于提高中风认知度和认知度的中风视频纪录片社区，2) 适合文化的舞蹈动作，以提高人们对中风，3) 用于在社区中筛查中风的象形工具，以及 4) 一种特殊的工具准确、严格的中风表型分析软件此外，在 1,095 在尼日利亚的家庭中，我们对电子监控的关键组件进行了试点测试系统包括粉丝可以用来引出举报的短信平台远程中风事件和移动医疗平台，社区可以通过该平台约 99% 的会员可以通知卫生工作者中风的发生或死亡。的社区成员可以轻松使用手机，而超过 95% 的社区成员可以轻松使用手机；通过电话或短信表达沟通的便利性、意愿报告中风事件，和/或通过电子监控监测其健康状况为了确保接近全部病例的纳入和准确的分母人口，我们将继续绘制社区站点地图、更新人口数据并人口统计资料，并提出新颖的多管齐下的“冷热追击”案例在选定的 DSS 集成中采用挨家挨户调查的确定技术我们还将整合正统和非正统的护理系统以实现可持续发展。将 SISS 纳入可持续护理矩阵，以改善 DSS 中的中风结果。新颖的电子监控、社区参与和 ARISES 中的中风护理矩阵使其成为一个整体模型，可扩展到其他模型美国和中低收入国家的低资源设置，以提高易用性、准确性和中风负担流行病学指数的产生频率，同时也提高中风素养、预防、早期表现和结果移动健康。