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dc.contributor.authorOchieng, W
dc.contributor.authorKitawi, RC
dc.contributor.authorNzomo, TJ
dc.contributor.authorMwatelah, Ruth S
dc.contributor.authorKimulwo, Maureen J
dc.contributor.authorOchieng, Dorothy J.
dc.contributor.authorKinyua, Joyceline
dc.contributor.authorLagat, Nancy
dc.contributor.authoret.al
dc.date.accessioned2015-07-01T10:07:25Z
dc.date.available2015-07-01T10:07:25Z
dc.date.issued2015
dc.identifier.citationOchieng, W., Kitawi, R. C., Nzomo, T. J., Mwatelah, R. S., Kimulwo, M. J., Ochieng, D. J., ... & Aman, R. (2015). Implementation and Operational Research: Correlates of Adherence and Treatment Failure Among Kenyan Patients on Long-term Highly Active Antiretroviral Therapy. JAIDS Journal of Acquired Immune Deficiency Syndromes, 69(2), e49-e56.en_US
dc.identifier.urihttp://journals.lww.com/jaids/Abstract/2015/06010/Implementation_and_Operational_Research__.19.aspx
dc.identifier.urihttp://hdl.handle.net/11295/85867
dc.description.abstractBackground: Universal access to highly active antiretroviral therapy (HAART) is still elusive in most developing nations. We asked whether peer support influenced adherence and treatment outcome and if a single viral load (VL) could define treatment failure in a resource-limited setting. Methods: A multicenter longitudinal and cross-sectional survey of VL, CD4 T cells, and adherence in 546 patients receiving HAART for up to 228 months. VL and CD4 counts were determined using m2000 Abbott RealTime HIV-1 assay and FACS counters, respectively. Adherence was assessed based on pill count and on self-report. Results: Of the patients, 55.8%, 22.2%, and 22% had good, fair, and poor adherence, respectively. Adherence, peer support, and regimen, but not HIV disclosure, age, or gender, independently correlated with VL and durability of treatment in a multivariate analysis (P < 0.001). Treatment failure was 35.9% using sequential VL but ranged between 27% and 35% using alternate single VL cross-sectional definitions. More patients failed stavudine (41.2%) than zidovudine (37.4%) or tenofovir (28.8%, P = 0.043) treatment arms. Peer support correlated positively with adherence (χ2, P < 0.001), with nonadherence being highest in the stavudine arm. VL before the time of regimen switch was comparable between patients switching and not switching treatment. Moreover, 36% of those switching still failed the second-line regimen. Conclusion: Weak adherence support and inaccessible VL testing threaten to compromise the success of HAART scale-up in Kenya. To hasten antiretroviral therapy monitoring and decision making, we suggest strengthening patient-focused adherence programs, optimizing and aligning regimen to WHO standards, and a single point-of-care VL testing when multiple tests are unavailable.en_US
dc.language.isoenen_US
dc.titleImplementation and operational research: correlates of adherence and treatment failure among Kenyan patients on long-term highly active antiretroviral therapyen_US
dc.typeArticleen_US
dc.type.materialenen_US


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