Structural Racism and HIV Pre-exposure Prophylaxis Use in the Nationwide US: A County-Level Analysis

被引:0
作者
Shi, Fanghui [1 ,2 ]
Mi, Tianyue [1 ,2 ]
Li, Xiaoming [1 ,2 ]
Ning, Huan [3 ]
Li, Zhenlong [3 ]
Yang, Xueying [1 ,2 ]
机构
[1] Univ South Carolina, South Carolina SmartState Ctr Healthcare Qual, Arnold Sch Publ Hlth, Columbia, SC 29208 USA
[2] Univ South Carolina, Arnold Sch Publ Hlth, Dept Hlth Promot Educ & Behav, 915 Greene St, Columbia, SC 29208 USA
[3] Penn State Univ, Dept Geog, Geoinformat & Big Data Res Lab, University Pk, PA 16802 USA
关键词
Structural racism; Pre-exposure prophylaxis; HIV; County level; UNITED-STATES; HEALTH; RISK; RACE;
D O I
10.1007/s40615-024-02127-5
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
BackgroundStructural racism contributes to geographical inequalities in pre-exposure prophylaxis (PrEP) coverage in the United States (US). This study aims to investigate county-level variability in PrEP utilization across diverse dimensions of structural racism.MethodsThe 2013-2021 nationwide county-level PrEP rate and PrEP-to-need ratio (PNR) data were retrieved from AIDSVu. PrEP rate was defined as the number of PrEP users per 100,000 population, and PNR was defined as the ratio of PrEP users to new HIV diagnoses per calendar year. Linear mixed effect regression was employed to identify associations of county-level structural racism (e.g., structural racism in housing and socioeconomic status) with PrEP rate and PNR on a nationwide scale of the US.ResultsFrom 2013 to 2021, the mean PrEP rate and PNR increased from 3.62 to 71.10 and from 0.39 to 10.20, respectively. Counties with more structural racism in housing were more likely to have low PrEP rates (adjusted beta = - 5.80, 95% CI [- 8.84, - 2.75]). Higher PNR was found in counties with lower structural racism in socioeconomic status (adjusted beta = - 2.64, 95% CI [- 3.68, - 1.61]). Regionally, compared to the Midwest region, counties in the West region were more likely to have higher PrEP rate (adjusted beta = 30.99, 95% CI [22.19, 39.80]), and counties in the South had lower PNR (adjusted beta = - 1.87, 95% CI [- 2.57, - 1.17]).ConclusionsCounty-level structural racism plays a crucial role in understanding the challenges of scaling up PrEP coverage. The findings underscore the importance of tailored strategies across different regions and provide valuable insights for future interventions to optimize PrEP implementation.
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页数:7
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