Development and implementation of a distributed data network between an academic institution and state health departments to investigate variation in time to HIV viral suppression in the Deep South.
Development and implementation of a distributed data network between an academic institution and state health departments to investigate variation in time to HIV viral suppression in the Deep South.
复制标题
在学术机构和州卫生部门之间开发和实施分布式数据网络，以调查南部腹地艾滋病毒抑制时间的变化。
DOI：
10.1186/s12889-023-15924-0
复制
发表时间：
2023-05-24
影响因子：
4.5
通讯作者：
Levitan, Emily B.
中科院分区：
文献类型：
--
作者：
Bassler, John R.;Cagle, Izza;Crear, Danita;Kay, Emma S.;Long, Dustin M.;Mugavero, Michael J.;Nassel, Ariann F.;Ostrenga, Lauren;Parman, Mariel;Preg, Summer;Wang, Xueyuan;Batey, D. Scott;Rana, Aadia;Levitan, Emily B.
HIV 感染诊断后实现早期和持续的病毒抑制 (VS) 对于改善 HIV 感染者 (PWH) 的治疗结果至关重要。美国 (US) 的南部腹地是受国内艾滋病毒流行影响尤为严重的地区。 VS 时间（定义为从诊断到首次 VS 的时间）在南部比美国其他地区要长得多。我们描述了学术机构和州卫生部门之间分布式数据网络的开发和实施，以调查南方腹地 VS 的时间变化。州卫生部门、疾病控制与预防中心 (CDC) 和学术合作伙伴的代表在项目开始时会面，确定核心目标和程序。重要的是，该项目通过分布式数据网络模型使用了 CDC 开发的增强型艾滋病毒/艾滋病报告系统 (eHARS)，以保持数据的机密性和完整性。用于构建数据集和计算 VS 时间的软件程序由学术合作伙伴编写，并与每个公共卫生合作伙伴共享。为了开发 eHARS 数据的空间元素，卫生部门在学术合作伙伴的支持下，对 2012 年至 2019 年间 eHARS 中每个新诊断个体的居住地址进行了地理编码。卫生部门在自己的系统内进行了所有分析。使用荟萃分析技术将各州的汇总结果进行合并。此外，我们还创建了一个用于代码开发和测试的合成 eHARS 数据集。协作结构和分布式数据网络使我们能够细化研究问题和分析计划，以针对研究和公共卫生实践的 VS 时间变化进行调查。此外，还创建了综合 eHARS 数据集，并向研究人员和公共卫生从业者公开提供。这些努力利用了州卫生部门的实践专业知识和监测数据以及学术合作伙伴的分析和方法专业知识。这项研究可以作为学术机构和公共卫生机构之间有效合作的一个说明性例子，并提供资源以促进未来将美国艾滋病毒监测系统用于研究和公共卫生实践。
Achieving early and sustained viral suppression (VS) following diagnosis of HIV infection is critical to improving outcomes for persons with HIV (PWH). The Deep South of the United States (US) is a region that is disproportionately impacted by the domestic HIV epidemic. Time to VS, defined as time from diagnosis to initial VS, is substantially longer in the South than other regions of the US. We describe the development and implementation of a distributed data network between an academic institution and state health departments to investigate variation in time to VS in the Deep South. Representatives of state health departments, the Centers for Disease Control and Prevention (CDC), and the academic partner met to establish core objectives and procedures at the beginning of the project. Importantly, this project used the CDC-developed Enhanced HIV/AIDS Reporting System (eHARS) through a distributed data network model that maintained the confidentiality and integrity of the data. Software programs to build datasets and calculate time to VS were written by the academic partner and shared with each public health partner. To develop spatial elements of the eHARS data, health departments geocoded residential addresses of each newly diagnosed individual in eHARS between 2012–2019, supported by the academic partner. Health departments conducted all analyses within their own systems. Aggregate results were combined across states using meta-analysis techniques. Additionally, we created a synthetic eHARS data set for code development and testing. The collaborative structure and distributed data network have allowed us to refine the study questions and analytic plans to conduct investigations into variation in time to VS for both research and public health practice. Additionally, a synthetic eHARS data set has been created and is publicly available for researchers and public health practitioners. These efforts have leveraged the practice expertise and surveillance data within state health departments and the analytic and methodologic expertise of the academic partner. This study could serve as an illustrative example of effective collaboration between academic institutions and public health agencies and provides resources to facilitate future use of the US HIV surveillance system for research and public health practice.
登录
查看更多内容
DOI：
10.1161/circgenetics.108.829747
发表时间：
2009-02
期刊：
Circulation. Cardiovascular genetics
影响因子：
--
作者：
Psaty BM;O'Donnell CJ;Gudnason V;Lunetta KL;Folsom AR;Rotter JI;Uitterlinden AG;Harris TB;Witteman JC;Boerwinkle E;CHARGE Consortium
通讯作者：
CHARGE Consortium
影响因子：
2.6
作者：
Curtis, Lesley H.;Weiner, Mark G.;Brown, Jeffrey S.
通讯作者：
Brown, Jeffrey S.
DOI：
10.5455/aim.2014.22.402-405
发表时间：
2014-12
期刊：
Acta informatica medica : AIM : journal of the Society for Medical Informatics of Bosnia & Herzegovina : casopis Drustva za medicinsku informatiku BiH
影响因子：
--
作者：
Fradelos EC;Papathanasiou IV;Mitsi D;Tsaras K;Kleisiaris CF;Kourkouta L
通讯作者：
Kourkouta L
DOI：
10.1056/nejmoa1506816
发表时间：
2015-08-27
期刊：
The New England journal of medicine
影响因子：
--
作者：
INSIGHT START Study Group;Lundgren JD;Babiker AG;Gordin F;Emery S;Grund B;Sharma S;Avihingsanon A;Cooper DA;Fätkenheuer G;Llibre JM;Molina JM;Munderi P;Schechter M;Wood R;Klingman KL;Collins S;Lane HC;Phillips AN;Neaton JD
通讯作者：
Neaton JD
影响因子：
120.7
作者：
Rodger, Alison J.;Cambiano, Valentina;Lundgren, Jens
通讯作者：
Lundgren, Jens