John Fulton, Vladimir Novitsky, F. Gillani, August Guang, Jon Steingrimsson, Aditya Khanna, Joel Hague, Casey Dunn, Joseph Hogan, Katharine Howe, Meghan MacAskill, L. Bhattarai, Thomas Bertrand, U. Bandy, Rami Kantor
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We documented lessons learned within a unique public-health–academic partnership, while guiding workaday HIV prevention efforts with near-real-time molecular cluster analysis.\n \n \n \n An academic-public health partnership in the State of Rhode Island, USA.\n \n \n \n We recorded perceptions of our team of academicians and public-health staff that were encountered in an 18-month study evaluating integration of molecular cluster analysis with HIV contact-tracing for public-health benefit. Focus was on monthly conferences where molecular clustering of each new statewide diagnosis was discussed to facilitate targeted interventions, and on attempted re-interviews of all newly HIV-diagnosed persons statewide whose HIV sequences clustered, to increase partner naming.\n \n \n \n Three main themes emerged: First, multidisciplinary conferences are substantially beneficial for gleaning actionable inferences from integrating molecular cluster analysis and public-health data. Second, universal re-interviews were perceived to potentially have negative consequences but may be selectively beneficial. Third, translation of cluster analysis into public-health action is hampered by jurisdictional surveillance boundaries and within-jurisdictional data silos, across which data sharing is problematic.\n \n \n \n Insights from a statewide public-health–academic partnership support integration of molecular HIV cluster analyses with public-health efforts, which can guide public-health activities to prevent transmission, while identifying substantial barriers to integration, informing continued research.\n","PeriodicalId":508427,"journal":{"name":"JAIDS Journal of Acquired Immune Deficiency Syndromes","volume":"23 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Integrating HIV Cluster Analysis in Everyday Public Health Practice: Lessons Learned from a Public Health – Academic Partnership\",\"authors\":\"John Fulton, Vladimir Novitsky, F. 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引用次数: 0
摘要
使用分子 HIV 聚类分析来补充公共卫生接触追踪,在应对 HIV 爆发方面已显示出前景。然而,HIV 聚类分析作为日常、逐人 HIV 预防工作的辅助手段,其潜力仍然未知。我们记录了一个独特的公共卫生-学术合作项目的经验教训,同时利用近实时分子聚类分析指导日常的艾滋病预防工作。 美国罗德岛州的学术-公共卫生合作伙伴关系。 我们记录了由学者和公共卫生人员组成的团队在一项为期 18 个月的研究中遇到的看法,该研究评估了分子聚类分析与艾滋病毒接触追踪的整合对公共卫生的益处。重点是每月召开一次会议,讨论全州范围内每个新诊断结果的分子聚类情况,以促进有针对性的干预措施,并尝试对全州范围内所有艾滋病毒序列聚类的艾滋病毒新诊断者进行再次访谈,以增加对伴侣的命名。 会议提出了三大主题:首先,多学科会议对于从分子聚类分析和公共卫生数据的整合中获得可操作的推论大有裨益。第二,普遍重新访谈被认为可能会产生负面影响,但也可能有选择性地带来好处。第三,将聚类分析转化为公共卫生行动受到辖区监控边界和辖区内数据孤岛的阻碍,跨辖区数据共享存在问题。 从全州公共卫生与学术界的合作中获得的启示支持将 HIV 分子聚类分析与公共卫生工作相结合,这可以指导公共卫生活动以预防传播,同时也发现了整合的实质性障碍,为继续研究提供了信息。
Integrating HIV Cluster Analysis in Everyday Public Health Practice: Lessons Learned from a Public Health – Academic Partnership
The use of molecular HIV cluster analysis to supplement public health contact tracing has shown promise in addressing HIV outbreaks. However, the potential of HIV cluster analysis as an adjunct to daily, person-by-person HIV prevention efforts remains unknown. We documented lessons learned within a unique public-health–academic partnership, while guiding workaday HIV prevention efforts with near-real-time molecular cluster analysis.
An academic-public health partnership in the State of Rhode Island, USA.
We recorded perceptions of our team of academicians and public-health staff that were encountered in an 18-month study evaluating integration of molecular cluster analysis with HIV contact-tracing for public-health benefit. Focus was on monthly conferences where molecular clustering of each new statewide diagnosis was discussed to facilitate targeted interventions, and on attempted re-interviews of all newly HIV-diagnosed persons statewide whose HIV sequences clustered, to increase partner naming.
Three main themes emerged: First, multidisciplinary conferences are substantially beneficial for gleaning actionable inferences from integrating molecular cluster analysis and public-health data. Second, universal re-interviews were perceived to potentially have negative consequences but may be selectively beneficial. Third, translation of cluster analysis into public-health action is hampered by jurisdictional surveillance boundaries and within-jurisdictional data silos, across which data sharing is problematic.
Insights from a statewide public-health–academic partnership support integration of molecular HIV cluster analyses with public-health efforts, which can guide public-health activities to prevent transmission, while identifying substantial barriers to integration, informing continued research.