Gaps in Medicaid enrollment may affect HIV outcomes. We evaluated factors associated with Medicaid enrollment gaps and their effect on viral suppression (VS) within the HIV Research Network.Methods:
We used a combined data set with Medicaid enrollment files from 2006 to 2010 and HIV Research Network demographic and clinical data. A gap was defined as ≥1 month without Medicaid and gap length was determined. We used multivariable logistic regression to determine factors associated with a gap and multivariable logistic regression with generalized estimated equations to evaluate factors associated with VS after gap.Results:
Of 5836 participants, the majority were male, of black race, and aged 25–50 years. More than half had a gap in Medicaid. Factors associated with a gap included male sex [adjusted odds ratio (aOR) 1.79, (1.53, 2.08)] and younger age (aORs ranging from 1.50 to 4.13 comparing younger age groups to age >50, P < 0.05 for all). About a quarter of gaps had VS information before and after gap. Of those, 53.7% had VS both before and after gap and 25.8% were unsuppressed both before and after gap. The strongest association with VS after gap was VS before gap [aOR 15.76 (10.48, 23.69)]. Transition into Ryan White HIV/AIDS Program coverage during Medicaid gaps was common (28% of all transitions).Conclusions:
Gaps in Medicaid enrollment were common and many individuals with pre-gap VS maintained VS after gap, possibly due to accessing other sources of antiretroviral therapy coverage. Implementing initiatives to maintain Medicaid enrollment and to expedite Medicaid reenrollment and having alternate resources available in gaps are important to ensure continuous antiretroviral therapy to optimize HIV outcomes.