Browsing by Author "Mi-Suk Kang Dufour"

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    A community mobilization intervention to improve engagement in HIV testing, linkage to care, and retention in care in South Africa: a cluster-randomized controlled trial
    (2022-09) Sheri A. Lippman; Audrey Pettifor; Mi-Suk Kang Dufour; Chodziwadziwa Whiteson Kabudula; Rhian Twine; Dean Peacock; Rhandzekile Mathebula; Aimée Julien; Rebecca West; Torsten B. Neilands; Ryan Wagner; Ann Gottert; F. Xavier Gómez Olivé; Dumisani Rebombo; Nicole Haberland; Julie Pulerwitz; Louis Pappie Majuba; Stephen Tollman; Kathleen Kahn
    Background: Community Mobilization (CM), engaging communities in a process to collectively enact change, could improve HIV testing and care engagement. We assessed whether CM increased HIV testing, linkage to, and retention in care over time in intervention relative to control communities. Methods: Fifteen communities in Mpumalanga, South Africa were randomized to either a CM intervention engaging residents to address social barriers to HIV testing and treatment or to control. Implementation occurred from August 2015-July 2018. Outcomes included quarterly rates of HIV testing, linkage to care, and retention in care documented from health facility records among 18-49 year-old residents of intervention and control communities over the three years of study. Intention-to-treat analyses employed generalized estimating equations stratified by sex. ClinicalTrials.gov number NCT02197793. Findings: Residents in eight intervention communities (N=20,544) and seven control communities (N=17,848) contributed data. Among men, HIV testing increased quarterly by 12·1% (Relative Change (RC):1·121, 95%CI:1·099-1·143) in intervention communities and 9·5% (RC:1·095, 95%CI:1·075-1·114) in control communities; differences by arm were marginally significant (exponentiated interaction coefficient:1·024, 95%CI:0·997-1·052, p-value=0·078). Among women, HIV testing increased quarterly by 10·6% (RC:1·106, 95%CI:1·097-1·114) in intervention and 9·3% (RC:1·093, 95%CI:1·084-1·102) in control communities; increases were greater in intervention communities (exponentiated interaction coefficient:1·012, 95%CI:1·001-1·023, p-value=0·043). Quarterly linkage increased significantly among intervention community women (RC:1·013, 95%CI:1·002-1·023) only. Quarterly retention fell among women in both arms; however, reductions were tempered among intervention women (exponentiated interaction coefficient:1·003, 95%CI:<1·000-1·006, p-value=0·062). No significant differences were detected in linkage or retention among men. Interpretation: CM was associated with modest improvements in select trial outcomes. The sum of these incremental, quarterly improvements achieved by addressing social barriers to HIV care engagement can impact epidemic control. However, achieving optimal impacts will likely require integrated efforts addressing both social barriers through CM and provision of improved service delivery.
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    Built Environment and HIV Linkage to Care in Rural South Africa
    (2023-01) Nosipho Shangase; Brian Pence; Sheri A. Lippman; Mi-Suk Kang Dufour; Chodziwadziwa Whiteson Kabudula; F. Xavier Gomez-Olive; Kathleen Kahn; Audrey Pettifor
    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.
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    Estimating the Prevalence of over- and Under-Reporting in HIV Testing, Status and Treatment in Rural Northeast South Africa: A Comparison of a Survey and Clinic Records
    (2023-10-27) Hannah H Leslie; Chodziwadziwa W Kabudula; Rebecca L West; Mi-Suk Kang Dufour; Aimée Julien; Nkosinathi G Masilela; Stephen M Tollman; Audrey Pettifor; Kathleen Kahn; Sheri A Lippman
    We assess the accuracy of self-reported testing, HIV status, and treatment responses compared to clinical records in Ehlanzeni District, South Africa. We linked a 2018 population-based survey of adults 18-49 years old with clinical data at local primary healthcare facilities from 2014 to 2018. We calculated self-reported testing, HIV status, and treatment, and triangulated findings with clinic record data. We adjusted testing estimates for known gaps in HIV test documentation. Of 2089 survey participants, 1657 used a study facility and were eligible for analysis. Half of men and 84% of women reported an HIV test in the past year. One third of reported tests could be confirmed in clinic data within 1 year and an additional 13% within 2 years; these fractions increased to 57% and 22% respectively limiting to participants with a verified clinic file. After accounting for gaps in clinic documentation, we found that prevalence of recent HIV testing was closer to 15% among men and 51% in women. Estimated prevalence of known HIV was 16.2% based on self-report vs. 27.6% with clinic documentation. Relative to clinical records among confirmed clinic users, self report of HIV testing and of current treatment were highly sensitive but non-specific (sensitivity 95.5% and 98.8%, specificity 24.2% and 16.1% respectively), while self report of HIV status was highly specific but not sensitive (sensitivity 53.0%, specificity 99.3%). While clinical records are imperfect, survey-based measures should be interpreted with caution in this rural South African setting.