Understanding Technology Fit Among People with HIV Based on Intersections of Race, Sex, and Sexual Behavior: An Equitable Approach to Analyzing Differences Across Multiple Social Identities.

Understanding Technology Fit Among People with HIV Based on Intersections of Race, Sex, and Sexual Behavior: An Equitable Approach to Analyzing Differences Across Multiple Social Identities.
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DOI:
10.1007/s10461-021-03223-x
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发表时间:
2021-08
期刊:
影响因子:
4.4
通讯作者:
Marhefka SL
Marhefka SL
中科院分区:
医学2区
文献类型:
--
作者:
Lockhart E;Turner D;Ficek J;Livingston T;Logan RG;Marhefka SL

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艾滋病毒根据交叉类别(例如性别,种族/民族,行为)对个人产生不成比例的影响,风险最高的群体被视为优先人群。使用加权效应编码来考虑不同的群体规模,本研究使用多层次混合logistic模型来调查优先人群中电子健康使用和使用电子健康获取艾滋病毒相关信息的意愿差异。与样本平均值相比,与女性发生性关系的黑人男性不太可能使用除手机短信之外的所有技术,也不太可能愿意使用电脑和平板电脑。与男性发生性关系的白色和西班牙裔男性更有可能使用所有技术。在使用或愿意使用手机发短信方面没有显着差异。未来的研究应该考虑这里使用的方法来解释公平和多重交叉的社会身份;从业者可以使用这些发现或类似的本地数据,以确保电子健康计划和优先人群之间的适合。
HIV disproportionately impacts individuals based on intersecting categories (e.g. gender, race/ethnicity, behavior), with groups most at-risk deemed priority populations. Using weighted effects coding to account for differential group sizes, this study used multilevel mixed logistic models to investigate differences in eHealth use and willingness to use eHealth for HIV-related information among priority populations. Compared to the sample average, Black men who had sex with women were less likely to use all technologies except cellphones with text-messaging and less likely to be willing to use computers and tablets. White and Hispanic men who had sex with men were more likely to use all technologies. No significant differences existed for use or willingness to use cellphones with text-messaging. Future research should consider approaches used here to account for equity and multiple intersecting social identities; practitioners may use these findings or similar local data to ensure fit between eHealth programs and priority populations.
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