Built Environment and HIV Linkage to Care in Rural South Africa

被引:2
作者
Shangase, Nosipho [1 ]
Pence, Brian [1 ]
Lippman, Sheri A. [2 ,3 ]
Dufour, Mi-Suk Kang [2 ]
Kabudula, Chodziwadziwa Whiteson [3 ]
Gomez-Olive, F. Xavier [3 ]
Kahn, Kathleen [3 ]
Pettifor, Audrey [1 ,3 ]
机构
[1] Univ North Carolina, Gillings Sch Global Publ Hlth, Dept Epidemiol, 2106 McGavran Greenberg Hall,CB 7435, Chapel Hill, NC 27599 USA
[2] Univ Calif San Francisco, Dept Med, San Francisco, CA 94143 USA
[3] Univ Witwatersrand, Sch Publ Hlth, MRC Wits Rural Publ Hlth & Hlth Transit Res Unit, Fac Hlth Sci, Johannesburg, South Africa
来源
COMMUNITY HEALTH EQUITY RESEARCH & POLICY | 2023年 / 43卷 / 02期
关键词
HIV linkage to care; Agincourt Health and Demographic Surveillance System; built environment; universal test and treat; South Africa; HEALTH-CARE; UNITED-STATES; NEIGHBORHOOD CHARACTERISTICS; PERCEIVED BARRIERS; AGINCOURT HEALTH; UNIVERSAL TEST; INFECTION; WOMEN; TRANSPORTATION; INTERVENTION;
D O I
10.1177/0272684X211006590
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
Background: We assessed built environment (residential density, landuse mix and aesthetics) and HIV linkage to care (LTC) among 1,681 (18-49 years-old) residents of 15 Mpumalanga villages, South Africa. Methods: Multilevel models (linear-binomial) were used for the association between built environment, measured using NEWS for Africa, and LTC from a clinical database of 9 facilities (2015-2018). Additionally, we assessed effect-measure modification by universal test-and-treat policy (UTT). Results: We observed, a significant association in the adjusted 3-month probability of LTC for residential density (risk difference (RD)%: 5.6, 95%CI: 1.2-10.1), however, no association for land-use mix (RD%: 2.4, 95%CI: -0.4, 5.2) and aesthetics (RD%: -1.2, 95%CI: -4.5-2.2). Among those diagnosed after UTT, residents of high land-use villages were more likely to link-to-care than those of low land-use villages at 12 months (RD%: 4.6, 95%CI: 1.1-8.1, p < 0.04), however, not at 3 months (RD%: 3.0, 95%CI: -2.1-8.0, p > 0.10). Conclusion: Findings suggest, better built environment conditions (adequate infrastructure, proximity to services etc.) help facilitate LTC. Moreover, UTT appears to have a protective effect on LTC.
引用
收藏
页码:133 / 141
页数:9
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