Reisner Sari L, Humes Elizabeth, Stevenson Megan, Cooney Erin E, Adams Dee, Althoff Keri N, Radix Asa, Poteat Tonia C, Mayer Kenneth H, Cannon Christopher M, Malone Jowanna, Wawrzyniak Andrew, Rodriguez Allan E, Schneider Jason, Haw J Sonya, Wirtz Andrea L
Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor, MI.
Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA.
J Acquir Immune Defic Syndr. 2024 Dec 15;97(5):e10-e24. doi: 10.1097/QAI.0000000000003527.
Transgender women (TW) are highly burdened by HIV. There is increasing interest in digital (ie, through Internet-based interfaces) HIV research; yet few studies have assessed potential biases of digital compared with site-based data collection. This study examined differences in characteristics between TW participating through site-based versus digital-only modes in an HIV incidence cohort.
Between March 2018 and Aug 2020, a multisite cohort of 1312 adult TW in the eastern and southern United States was enrolled in site-based and exclusively digital modes. We evaluated differences in baseline demographics, sociostructural vulnerabilities, health care access, gender affirmation, mental health, stigma, social support, and HIV acquisition risk comparing site-based vs digital modes using χ 2 tests and Poisson regression modeling with robust standard errors.
The overall median age was 28 (interquartile range = 23-35) years and more than half identified as people of color (15% Black, 13% Multiracial, 12% Another Race, 18% Latina/e/x). A higher proportion of site-based (vs. digital mode) participants resided in the northeast, were younger, identified as people of color, experienced sociostructural vulnerabilities, had a regular health care provider, received medical gender affirmation, endorsed mental health symptoms and stigma, reported HIV acquisition risk but also greater experience with biomedical HIV prevention (preexposure and postexposure prophylaxis), and had larger social networks (all P < 0.05).
Site-based and digital approaches enrolled TW with different demographics, life experiences, and HIV acquisition risks. A hybrid cohort model may achieve a more diverse and potentially representative sample of TW than either site-based or online cohorts alone for HIV research.
跨性别女性感染艾滋病毒的负担很重。人们对数字(即通过基于互联网的界面)艾滋病毒研究的兴趣与日俱增;然而,很少有研究评估与基于现场的数据收集相比,数字数据收集的潜在偏差。本研究调查了在一个艾滋病毒发病率队列中,通过基于现场与仅数字模式参与研究的跨性别女性在特征上的差异。
2018年3月至2020年8月期间,在美国东部和南部的一个多地点队列中,1312名成年跨性别女性以基于现场和仅数字模式入组。我们使用卡方检验和带有稳健标准误的泊松回归模型,比较基于现场与数字模式,评估基线人口统计学、社会结构脆弱性、医疗保健获取、性别肯定、心理健康、耻辱感、社会支持以及艾滋病毒感染风险方面的差异。
总体中位年龄为28岁(四分位间距 = 23 - 35岁),超过一半的人被认定为有色人种(15%为黑人,13%为多种族,12%为其他种族,18%为拉丁裔/拉丁美洲裔/拉丁裔女性)。与数字模式相比,更高比例的基于现场的参与者居住在东北部,更年轻,被认定为有色人种,经历社会结构脆弱性,有固定的医疗保健提供者,接受过医学性别肯定,认可心理健康症状和耻辱感,报告有艾滋病毒感染风险,但也有更多的生物医学艾滋病毒预防(暴露前和暴露后预防)经验,并且有更大的社交网络(所有P < 0.05)。
基于现场和数字方法招募的跨性别女性在人口统计学、生活经历和艾滋病毒感染风险方面存在差异。对于艾滋病毒研究而言,混合队列模型可能比单独的基于现场或在线队列获得更具多样性且可能更具代表性的跨性别女性样本。