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跨辖区数据交换对哥伦比亚特区艾滋病毒感染人群估计的影响:评估研究

Cross-Jurisdictional Data Exchange Impact on the Estimation of the HIV Population Living in the District of Columbia: Evaluation Study.

作者信息

Hamp Auntre D, Doshi Rupali K, Lum Garret R, Allston Adam

机构信息

HIV/AIDS, Hepatitis, STD, Tuberculosis Administration, District of Columbia Department of Health, Washington, DC, United States.

Department of Epidemiology and Biostatistics, The George Washington University, Washington, DC, United States.

出版信息

JMIR Public Health Surveill. 2018 Aug 13;4(3):e62. doi: 10.2196/publichealth.9800.

Abstract

BACKGROUND

Accurate HIV surveillance data are essential to monitor trends to help end the HIV epidemic. Owing to strict policies around data security and confidentiality, HIV surveillance data have not been routinely shared across jurisdictions except a biannual case-by-case review process to identify and remove duplicate cases (Routine Interstate Duplicate Review, RIDR). HIV surveillance estimates for the District of Columbia (DC) are complicated by migration and care seeking throughout the metropolitan area, which includes Maryland and Virginia. To address gaps in HIV surveillance data, health departments of DC, Maryland, and Virginia have established HIV surveillance data sharing agreements. Although the Black Box (a privacy data integration tool external to the health departments) facilitates the secure exchange of data between DC, Maryland, and Virginia, its previous iterations were limited by the frequency and scope of information exchanged. The health departments of DC, Maryland, and Virginia engaged in data sharing to further improve HIV surveillance estimates.

OBJECTIVE

This study assessed the impact of cross-jurisdictional data sharing on the estimation of people living with HIV in DC and reduction of cases in the RIDR process.

METHODS

Data sharing agreements established in 2014 allowed for the exchange of HIV case information (eg, current residential address) and laboratory information (eg, test types, result dates, and results) from the enhanced HIV/AIDS Reporting System (eHARS). Regular data exchanges began in 2017. The participating jurisdictions transferred data (via secure file transfer protocol) for individuals having a residential address in a partnering jurisdiction at the time of HIV diagnosis or evidence of receiving HIV-related services at a facility located in a partnering jurisdiction. The DC Department of Health compared the data received to DC eHARS and imported updated data that matched existing cases. Evaluation of changes in current residential address and HIV prevalence was conducted by comparing data before and after HIV surveillance data exchanges.

RESULTS

After the HIV surveillance data exchange, an average of 396 fewer cases were estimated to be living in DC each year from 2012 to 2016. Among cases with a residential status change, 66.4% (1316/1982) had relocated to Maryland and 19.8% (392/1982) to Virginia; majority of these had relocated to counties bordering DC. Relocation in and out of DC differed by mode of transmission, race and ethnicity, age group, and gender. After data exchange, the volume of HIV cases needing RIDR decreased by 74% for DC-Maryland and 81% for DC-Virginia.

CONCLUSIONS

HIV surveillance data exchange between the public health departments of DC, Maryland, and Virginia reduced the number of cases misclassified as DC residents and reduced the number of cases needing RIDR. Continued data exchanges will enhance the ability of DC Department of Health to monitor the local HIV epidemic.

摘要

背景

准确的艾滋病病毒(HIV)监测数据对于监测趋势以帮助终结HIV流行至关重要。由于围绕数据安全和保密的严格政策,除了每半年进行一次逐案审查以识别和消除重复病例(常规州际重复审查,RIDR)外,HIV监测数据并未在各辖区之间常规共享。哥伦比亚特区(DC)的HIV监测估计因整个大都市区(包括马里兰州和弗吉尼亚州)的人口迁移和就医情况而变得复杂。为了填补HIV监测数据的空白,DC、马里兰州和弗吉尼亚州的卫生部门已建立HIV监测数据共享协议。尽管黑匣子(卫生部门外部的一种隐私数据整合工具)促进了DC、马里兰州和弗吉尼亚州之间的数据安全交换,但其以前的版本受到信息交换频率和范围的限制。DC、马里兰州和弗吉尼亚州的卫生部门进行数据共享以进一步改善HIV监测估计。

目的

本研究评估跨辖区数据共享对DC地区HIV感染者估计数的影响以及在RIDR过程中减少病例数的情况。

方法

2014年建立的数据共享协议允许从强化的HIV/艾滋病报告系统(eHARS)交换HIV病例信息(如当前居住地址)和实验室信息(如检测类型、结果日期和结果)。定期数据交换于2017年开始。参与辖区为在HIV诊断时居住地址在合作辖区或在位于合作辖区的机构接受HIV相关服务的个人(通过安全文件传输协议)传输数据。DC卫生部将收到的数据与DC的eHARS进行比较,并导入与现有病例匹配的更新数据。通过比较HIV监测数据交换前后的数据,对当前居住地址和HIV流行率的变化进行评估。

结果

在HIV监测数据交换后,2012年至2016年期间估计每年居住在DC的病例平均减少396例。在居住状态发生变化的病例中,66.4%(1316/1982)已搬迁至马里兰州,19.8%(392/1982)已搬迁至弗吉尼亚州;其中大多数已搬迁至与DC接壤的县。进出DC的迁移因传播方式、种族和族裔、年龄组和性别而异。数据交换后,DC - 马里兰州需要进行RIDR的HIV病例数量减少了74%,DC - 弗吉尼亚州减少了81%。

结论

DC、马里兰州和弗吉尼亚州公共卫生部门之间的HIV监测数据交换减少了被错误分类为DC居民的病例数量,并减少了需要进行RIDR的病例数量。持续的数据交换将增强DC卫生部监测当地HIV流行的能力。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c5a6/6111149/47d6e417fb67/publichealth_v4i3e62_fig1.jpg

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