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伊利诺伊州基于地理信息系统的沙眼衣原体干预政策的制定与评估

Development and Evaluation of GIS-Based Chlamydia Trachomatis Intervention Policy in Illinois.

作者信息

Jenkins Wiley D

机构信息

Department of Family and Community Medicine, Southern Illinois School of Medicine.

出版信息

Online J Public Health Inform. 2009;1(1). doi: 10.5210/ojphi.v1i1.2771. Epub 2009 Dec 10.

DOI:10.5210/ojphi.v1i1.2771
PMID:23569571
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3615748/
Abstract

Chlamydia trachomatis is the most prevalent infectious disease in the United States. Complications include pelvic inflammatory disease (PID), ectopic pregnancy, and infertility. The cost of PID in 1998 was estimated at greater than $1.9 billion. Screening intervention strategies are often consumed by those at low risk. The objective of this study is the development of a more cost-effective intervention strategy by employing Geographic Information Systems and Census Bureau demographic data in selected Local Health Departments in Illinois. Case studies of intervention activities at the state and local level were performed. An evaluability assessment model of current inputs, processes and outcomes was created. A proposed model utilizing additional state inputs was developed and tested. Interventions were evaluated for effectiveness in reducing the incidence of Chlamydia trachomatis. Societal cost effectiveness analysis was also performed. The proposed model was tested in 2006. Results indicate that only minimal changes in annual incidence are required for GIS-augmented interventions to be cost-effective.

摘要

沙眼衣原体是美国最普遍的传染病。其并发症包括盆腔炎(PID)、宫外孕和不孕不育。1998年PID的治疗费用估计超过19亿美元。筛查干预策略往往被低风险人群所采用。本研究的目的是通过在伊利诺伊州选定的地方卫生部门运用地理信息系统和人口普查局的人口统计数据,制定一种更具成本效益的干预策略。开展了州和地方层面干预活动的案例研究。创建了一个关于当前投入、过程和结果的可评估性评估模型。开发并测试了一个利用更多州投入的提议模型。对干预措施在降低沙眼衣原体发病率方面的有效性进行了评估。还进行了社会成本效益分析。提议的模型于2006年进行了测试。结果表明,对于地理信息系统增强型干预措施而言,要实现成本效益,每年发病率只需有极小的变化。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0b3d/3615748/22f9bd58ee81/ojphi-01-3f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0b3d/3615748/d790f13a2193/ojphi-01-3f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0b3d/3615748/22f9bd58ee81/ojphi-01-3f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0b3d/3615748/d790f13a2193/ojphi-01-3f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0b3d/3615748/22f9bd58ee81/ojphi-01-3f2.jpg

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Value Health. 2006 Jan-Feb;9(1):1-11. doi: 10.1111/j.1524-4733.2006.00075.x.
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Identification of networks of sexually transmitted infection: a molecular, geographic, and social network analysis.
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J Infect Dis. 2005 Mar 15;191(6):899-906. doi: 10.1086/427661. Epub 2005 Feb 14.
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