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肌肉萎缩症监测、跟踪与研究网络(MD STARnet):监测方法

The muscular Dystrophy Surveillance Tracking and Research Network (MD STARnet): surveillance methodology.

作者信息

Miller Lisa A, Romitti Paul A, Cunniff Christopher, Druschel Charlotte, Mathews Katherine D, Meaney F John, Matthews Dennis, Kantamneni Jiji, Feng Zhen-Fang, Zemblidge Nancy, Miller Timothy M, Andrews Jennifer, Fox Deborah, Ciafaloni Emma, Pandya Shree, Montgomery April, Kenneson Aileen

机构信息

Colorado Department of Public Health and Environment, Denver, Colorado 80246-1530, USA.

出版信息

Birth Defects Res A Clin Mol Teratol. 2006 Nov;76(11):793-7. doi: 10.1002/bdra.20279.

Abstract

BACKGROUND

This report focuses on the common protocol developed by the Muscular Dystrophy Surveillance Tracking and Research Network (MD STARnet) for population-based surveillance of Duchenne and Becker muscular dystrophy (DBMD) among 4 states (Arizona, Colorado, Iowa, and New York).

METHODS

The network sites have developed a case definition and surveillance protocol along with software applications for medical record abstraction, clinical review, and pooled data. Neuromuscular specialists at each site review the pooled data to determine if a case meets the case criteria. Sources of potential cases of DBMD include neuromuscular specialty clinics, service sites for children with special healthcare needs, and hospital discharge databases. Each site also adheres to a common information assurance protocol.

RESULTS

A population-based surveillance system for DBMD was created and implemented in participating states.

CONCLUSIONS

The development and implementation of the population-based system will allow for the collection of information that is intended to provide a greater understanding of DBMD prevalence and health outcomes.

摘要

背景

本报告重点关注肌肉萎缩症监测、追踪与研究网络(MD STARnet)制定的通用方案,该方案用于对4个州(亚利桑那州、科罗拉多州、爱荷华州和纽约州)的杜氏和贝克肌肉萎缩症(DBMD)进行基于人群的监测。

方法

各网络站点制定了病例定义和监测方案,以及用于病历摘要、临床审查和汇总数据的软件应用程序。每个站点的神经肌肉专家审查汇总数据,以确定病例是否符合病例标准。DBMD潜在病例的来源包括神经肌肉专科诊所、特殊医疗需求儿童服务站点和医院出院数据库。每个站点还遵守通用的信息保障方案。

结果

在参与的州创建并实施了基于人群的DBMD监测系统。

结论

基于人群的系统的开发和实施将有助于收集信息,旨在更深入了解DBMD的患病率和健康结果。

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