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ABSTRACT: Introduction
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 associat
SUBMITTER: Monroe AK
PROVIDER: S-EPMC8461635 | biostudies-literature | 2018 Aug
REPOSITORIES: biostudies-literature