Methods: We conducted longitudinal analyses of participants enrolled in UI from 2014 to 2024 (n=2,216), utilizing repeated measures models.
Results: At last follow-up, 89.3% were undetectable (viral load [VL]<200 copies/ml) for those still enrolled in 2024 (n=1,111), while overall, 80% were undetectable for the ten-year sample. The average number of quarterly follow-ups (beyond baseline) was 14. Being undetectable was positively associated with number of follow-ups (p<0.0001). Each additional follow-up increased the odds of being undetectable by 3%. On average, UI increased undetectability odds by 45%.
A cohort effect was detected: those enrolled after 2019 had lower rates of being undetectable at baseline than those enrolled before (73 versus 83%, p<0.0001), but also reduced their VL more rapidly over time (p<0.0001). Moreover, 85% of those undetectable at baseline remained undetectable at last follow-up, while 59% of those detectable at baseline transitioned to undetectability at last follow-up. There was a significant interaction effect between VL over time, and VL status at baseline: VL for undetectables at baseline increased over time, while VL for detectables at baseline decreased longitudinally.
Discussion and Implications: With almost 90% current adherence, UI meets a crucial 90-90-90 goal. Participants were retained for a long time (3.5 years, on average), with time spent in UI significantly increasing the probability of reaching viral suppression. We discuss factors (such as the onset of Covid-19) that explain why a more vulnerable cohort was enrolled in the last five years. The intervention was most effective for the most vulnerable participants: those detectable at baseline, and the cohort enrolled after 2019, during the onset of Covid-19. However, we also detected treatment fatigue over time, especially for those who started when virally suppressed. We discuss the implications of treatment fatigue, and ways to modify UI to address it.
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