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dc.contributor.authorKatz, Ingrid T.
dc.contributor.authorMusinguzi, Nicholas
dc.contributor.authorBell, Kathleen
dc.contributor.authorCross, Anna
dc.contributor.authorBwana, Mwebesa B.
dc.contributor.authorAmanyire, Gideon
dc.contributor.authorAsiimwe, Stephen
dc.contributor.authorOrrell, Catherine
dc.contributor.author. Bangsberg, David R
dc.contributor.authorHaberer, Jessica E.
dc.date.accessioned2022-01-13T08:52:01Z
dc.date.available2022-01-13T08:52:01Z
dc.date.issued2021-04-15
dc.identifier.citationKatz, I. T., Musinguzi, N., Bell, K., Cross, A., Bwana, M. B., Amanyire, G., ... & Haberer, J. E. (2021). Brief Report: The Impact of Disease Stage on Early Gaps in ART in the “Treatment for All” Era—A Multisite Cohort Study. Journal of Acquired Immune Deficiency Syndromes (1999), 86(5), 562.en_US
dc.identifier.urihttp://ir.must.ac.ug/xmlui/handle/123456789/1147
dc.description.abstractBackground: Adoption of “Treat All” policies has increased antiretroviral therapy (ART) initiation in sub-Saharan Africa; however, unexplained early losses continue to occur. More information is needed to understand why treatment discontinuation continues at this vulnerable stage in care. Methods: The Monitoring Early Treatment Adherence Study involved a prospective observational cohort of individuals initiating ART at early-stage versus late-stage disease in South Africa and Uganda. Surveys and HIV-1 RNA levels were performed at baseline, 6, and 12 months, with adherence monitored electronically. This analysis included nonpregnant participants in the first 6 months of follow-up; demographic and clinical factors were compared across groups with x2, univariable, and multivariable models. Results: Of 669 eligible participants, 91 (14%) showed early gaps of $30 days in ART use (22% in South Africa and 6% in Uganda) with the median time to gap of 77 days (interquartile range: 43–101) and 87 days (74, 105), respectively. Although 71 (78%) ultimately resumed care, having an early gap was still significantly associated with detectable viremia at 6 months (P # 0.01). Multivariable modeling, restricted to South Africa, found secondary education and higher physical health score protected against early gaps [adjusted odds ratio (aOR) 0.4, 95% confidence interval (CI): 0.2 to 0.8 and (aOR 0.93, 95% CI: 0.9 to 1.0), respectively]. Participants reporting clinics as “too far” had double the odds of early gaps (aOR 2.2: 95% CI: 1.2 to 4.1). Discussion: Early gaps in ART persist, resulting in higher odds of detectable viremia, particularly in South Africa. Interventions targeting health management and access to care are critical to reducing earlen_US
dc.language.isoen_USen_US
dc.publisherWolters Kluwer Health, Inc.en_US
dc.subjectImpacten_US
dc.subjectDisease Stageen_US
dc.subjectEarly Gapsen_US
dc.subjectARTen_US
dc.subjectTreatment for Allen_US
dc.titleThe Impact of Disease Stage on Early Gaps in ART in the “Treatment for All” Era—A Multisite Cohort Studyen_US
dc.typeTechnical Reporten_US


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