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An evaluation of mandatory communicable disease reporting in North Carolina.

机译:对北卡罗来纳州强制性传染病报告的评估。

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摘要

The current communicable disease surveillance system in the United States largely relies on reporting of communicable diseases and conditions by both physicians and laboratories. Incomplete or inaccurate reporting of these diseases impairs the estimation of incidence rates from surveillance systems as well as hinders the implementation and evaluation of public health control measures. The extent of incomplete reporting has not been quantified for a large geographic area over time or for more than a few diseases. Therefore, the completeness of communicable disease reporting was studied using a retrospective cohort study at 8 large healthcare systems in North Carolina (NC) spanning a ten-year time period. The NC Department of Health and Human Services (NC DHHS) communicable disease surveillance system is based on "mandatory" reporting of more than 60 diseases and conditions and is a passive surveillance system. Diagnostic codes from healthcare system billing records were used to ascertain the eligible cases to be reported to the communicable disease surveillance system, and a unique identifier was used to match these eligible patients to the case-patients who were reported to the NC DHHS surveillance system. In addition, a validation study was also conducted to estimate positive predictive values of the diagnostic codes for communicable disease case ascertainment because these codes are widely used for both public health surveillance and research. Quantification of communicable disease reporting completeness is critical to understanding the impact on two public health surveillance system goals, that is, disease incidence rate estimation and public health initiation of disease transmission control measures. In addition, these analyses may guide the development of local, state and national strategies for improvement of disease reporting and surveillance.
机译:美国当前的传染病监视系统主要依靠医师和实验室对传染病和状况的报告。这些疾病的报告不完整或不准确会影响监视系统对发病率的估计,并妨碍公共卫生控制措施的实施和评估。随着时间的推移,对于较大的地理区域或多种疾病,尚未完成报告的程度尚未量化。因此,使用回顾性队列研究对北卡罗来纳州(NC)的8个大型医疗系统进行了为期10年的回顾性队列研究。 NC卫生与公共服务部(NC DHHS)传染病监视系统基于对60多种疾病和状况的“强制性”报告,是一种被动监视系统。使用医疗保健系统计费记录中的诊断代码来确定要报告给传染病监视系统的合格病例,并使用唯一标识符将这些合格患者与报告给NC DHHS监视系统的病例患者进行匹配。此外,还进行了一项验证研究,以估计可诊断传染病病例的诊断代码的阳性预测值,因为这些代码已广泛用于公共卫生监视和研究。量化传染病报告的完整性对于理解对两个公共卫生监测系统目标的影响至关重要,这两个目标是疾病发生率估算和公共卫生启动疾病传播控制措施。此外,这些分析可以指导地方,州和国家改善疾病报告和监测策略的发展。

著录项

  • 作者

    Vavalle, Emily Elisabeth.;

  • 作者单位

    The University of North Carolina at Chapel Hill.;

  • 授予单位 The University of North Carolina at Chapel Hill.;
  • 学科 Health Sciences Public Health.;Health Sciences Epidemiology.
  • 学位 Ph.D.
  • 年度 2010
  • 页码 122 p.
  • 总页数 122
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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