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Determinants of HIV interruption in treatment in Murang’a County, Kenya: a sequential explanatory mixed-methods study

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dc.contributor.author Humphrey, John
dc.contributor.author Njiru, Moses Muriithi
dc.contributor.author Ndege, Samson
dc.contributor.author Diero, Lameck
dc.contributor.author Owiny, Maurice
dc.date.accessioned 2026-09-14T11:42:45Z
dc.date.available 2026-09-14T11:42:45Z
dc.date.issued 2026-08
dc.identifier.uri https://doi.org/10.1080/09540121.2026.2728207
dc.identifier.uri http://ir.mu.ac.ke:8080/jspui/handle/123456789/10506
dc.description.abstract Globally, approximately one-in-four people living with HIV (PLHIV) experiences interrup-tion in treatment (IIT), risking viral rebound, transmission, morbidity, and mortality.Murang’a County reported 82% viral suppression coverage, below Kenya’s 94%. Thisstudy assessed IIT magnitude and determinants using sequential-explanatory mixedmethods across nine high-volume facilities (Jan 2023–Jun 2024). PLHIV missing clinicalappointments by >30 days were compared with those retained using descriptive statis-tics, chi-square, and logistic regression. Among 11,472 PLHIV, 6.5% (742) experienced IIT;50.8% (377) did not return to care. IIT was associated with age 20–24 (aRR =2.02), 25–49years (aRR = 2.27), male (aRR = 1.42), viral non-suppression (aRR = 6.35), invalid viral load(aRR = 9.59), ART duration 6–12 months (aRR = 4.96), and WHO stages 3&4 (aRR = 2.08)(All p < 0.001). Focus group discussions revealed HIV undetectable VL equals untransmit-table knowledge gaps, negative service experiences, transport costs, long waits, fre-quent clinic visits, pill burden, stigma, and prayers replacing ART barriers. PLHIV with IITexperienced prolonged care disengagement, with higher rates among younger PLHIV,men, those with unsuppressed and older VL, early ART, and advanced HIV disease, influenced by individual, healthcare systems, treatment-related, and sociocultural barriers.Strengthening early tracing, differentiated service delivery, longer-acting ART, VL moni-toring adherence, HIV literacy, and stigma reduction is critical to improving retention. en_US
dc.description.sponsorship This work was supported by the African Field Epidemiology Network (AFNET) and Moi University HIV Implementation Science and Dissemination (MUHIV-ID) D43 Fogarty Training Program, a National Institutes of Health (NIH)grant (Number 5D43TW012496-03). en_US
dc.language.iso en en_US
dc.publisher Taylor and Francis en_US
dc.subject Viral load en_US
dc.subject Morbidity en_US
dc.subject HIV infections en_US
dc.subject Logistic models en_US
dc.title Determinants of HIV interruption in treatment in Murang’a County, Kenya: a sequential explanatory mixed-methods study en_US
dc.type Article en_US


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