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评估多个数据源以预测 cisgender 女性对 HIV 预防需求的增加:了解 PrEP(暴露前预防)的错失机会。

Evaluation of multiple data sources for predicting increased need for HIV prevention among cisgender women: understanding missed opportunities for Pre-exposure Prophylaxis (PrEP).

机构信息

Reasearch Associate Professor Center for Gender, Sexuality, and HIV Prevention, The Potocsnak Family Division of Adolescent and Young Adult Medicine, Ann & Robert H. Lurie Children's Hospital of Chicago, Northwestern University Feinberg School of Medicine, Chicago, IL, USA.

Research Coordinator, University of Chicago, Chicago, IL, USA.

出版信息

BMC Infect Dis. 2023 Nov 9;23(1):781. doi: 10.1186/s12879-023-08719-6.

Abstract

BACKGROUND

Ciswomen constitute a disproportionately low percentage of pre-exposure prophylaxis for HIV prevention (PrEP) users compared to men. Despite PrEP's effectiveness, women are 5.25 times less likely to take PrEP than men. Identifying women who have increased reasons for HIV prevention and educating and offering PrEP to these women is crucial to reducing HIV transmission and overall health equity. However, the best method of identifying women at highest risk of acquiring HIV remains unknown. This study aimed to identify common HIV risk factors and data sources for identifying these common factors (e.g., electronic medical record data, open source neighborhood data), as well as potential intervention points and missed opportunities for PrEP linkage.

METHODS

We conducted an evaluation of multiple data sources: semi-structured qualitative interviews, electronic medical record (EMR) chart abstraction, and open source data abstraction. We accessed EMRs for enrolled participants and all participants signed a standard release of medical information (ROI) form for all institutions at which they had received medical care for the five-year period preceding their HIV diagnosis. Data were abstracted using a standardized procedure. Both structured and unstructured fields (i.e., narrative text of free notes) within the EMR were examined and included for analysis. Finally, open data sources (e.g., STI cases, HIV prevalence) were examined by community area of Chicago. Open data sources were used to examine several factors contributing to the overall Economic Hardship Index (EHI) score. We used these calculated scores to assess the economic hardship within participants' neighborhoods.

RESULTS

A total of 18 cisgender women with HIV participated in our study. Participants were mostly Black/African American (55.6%) and young (median age of 34). Our analysis identified two main themes influencing HIV risk among participants: contextual factors and relationship factors. Further, potential pre-diagnosis intervention points and missed opportunities were identified during reproductive health/prenatal visits, behavioral/mental health visits, and routine STI testing. Our evaluation of multiple data sources included investigating the presence or absence of information in the EMR (STI history, HIV testing, substance use, etc.) as well as whether pertinent information could be gathered from open access sources.

CONCLUSION

Ciswomen recently diagnosed with HIV identified many shared experiences, including syndemic conditions like mental illness and substance abuse, sex with men who have sex with men, and frequent moving in areas with high HIV incidence prior to their diagnosis. It is imperative that providers ask patients about social history, information about partners, and other key variables, in addition to the standardized questions. Findings can be used to better recognize ciswomen most vulnerable to HIV and offer PrEP to them, reducing HIV transmission.

摘要

背景

与男性相比,顺性别女性在接受 HIV 预防(PrEP)的人群中所占比例过低。尽管 PrEP 有效,但女性服用 PrEP 的可能性比男性低 5.25 倍。确定具有更多 HIV 预防理由的女性,并对这些女性进行教育和提供 PrEP,对于减少 HIV 传播和实现整体健康公平至关重要。然而,确定处于 HIV 感染高风险的女性的最佳方法仍不清楚。本研究旨在确定常见的 HIV 风险因素以及用于识别这些常见因素的数据来源(例如,电子病历数据、开源邻里数据),以及 PrEP 链接的潜在干预点和错失的机会。

方法

我们评估了多种数据源:半结构化定性访谈、电子病历(EMR)图表提取和开源数据提取。我们访问了入组参与者的 EMR,所有参与者都签署了一份标准的医疗信息释放(ROI)表格,涵盖了他们在 HIV 诊断前五年内接受医疗护理的所有机构。数据采用标准化程序提取。EMR 中的结构化和非结构化字段(即自由笔记的叙述文本)都经过检查并纳入分析。最后,通过芝加哥的社区区域检查了开放数据来源(例如,性传播感染病例、HIV 流行率)。开放数据来源用于检查导致整体经济困难指数(EHI)得分的几个因素。我们使用这些计算得出的分数来评估参与者所在社区的经济困难程度。

结果

共有 18 名顺性别 HIV 阳性女性参与了我们的研究。参与者主要为黑人/非裔美国人(55.6%)和年轻人(中位年龄 34 岁)。我们的分析确定了影响参与者 HIV 风险的两个主要主题:背景因素和关系因素。此外,在生殖健康/产前检查、行为/心理健康检查和常规性传播感染检查期间,还确定了潜在的诊断前干预点和错失的机会。我们对多种数据源的评估包括检查 EMR 中是否存在信息(性传播感染史、HIV 检测、药物使用等)以及是否可以从开放获取源收集相关信息。

结论

最近被诊断患有 HIV 的顺性别女性确定了许多共同的经历,包括精神疾病和药物滥用等综合征状况、与男男性行为者发生性行为,以及在诊断前经常在 HIV 发病率较高的地区搬迁。除了标准化问题外,医生还必须询问患者有关社会历史、伴侣信息和其他关键变量的信息。研究结果可用于更好地识别最容易感染 HIV 的顺性别女性,并为她们提供 PrEP,从而减少 HIV 传播。

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