OBJECTIVE: Identify factors associated with HIV care utilization in South Carolina. DESIGN: Cross-sectional analysis of South Carolina nonpregnant HIV-infected individuals (N = 13,042) for the period 1 January 2004 to 31 December 2006. METHODS: Reporting of HIV laboratory markers is legally mandated in South Carolina. Individuals with reported viral load tests or CD4 cell counts during a calendar year were defined as 'in HIV-medical care' that year. Care utilization categories were in care, care all 3 years; not-in-care (NIC), no care received; and transitional care, during some but not all years. Multinomial logistic regression using generalized logits was used to estimate relationships between care utilization and predictor variables. RESULTS: Five thousand, two hundred and seventeen (40.0%) of South Carolina HIV-infected adults were NIC and 3300 (25.3%) were in transitional care during 2004-2006. Although a larger number of black than white HIV-infected adults were NIC, adjusted odds for NIC status were lower among blacks than whites [adjusted odds ratio (AOR), 0.82; 95% confidence interval 0.74, 0.92)]. Women had lower odds of being NIC than men (AOR, 0.66; 95% confidence interval 0.58, 0.74). Compared with individuals 55 years or older, individuals who were 25-34 years old were most likely to demonstrate both the NIC (AOR, 1.85; 95% confidence interval 1.29, 2.65) and transitional (AOR, 1.85; 95% confidence interval 1.31, 2.62) care patterns. CONCLUSION: Large proportions of the South Carolina HIV-infected adult population are not consistently accessing HIV-medical care. Targeted programs are needed to improve engagement for HIV-infected adults most likely to transition or not be in care.
OBJECTIVE: Identify factors associated with HIV care utilization in South Carolina. DESIGN: Cross-sectional analysis of South Carolina nonpregnant HIV-infected individuals (N = 13,042) for the period 1 January 2004 to 31 December 2006. METHODS: Reporting of HIV laboratory markers is legally mandated in South Carolina. Individuals with reported viral load tests or CD4 cell counts during a calendar year were defined as 'in HIV-medical care' that year. Care utilization categories were in care, care all 3 years; not-in-care (NIC), no care received; and transitional care, during some but not all years. Multinomial logistic regression using generalized logits was used to estimate relationships between care utilization and predictor variables. RESULTS: Five thousand, two hundred and seventeen (40.0%) of South Carolina HIV-infected adults were NIC and 3300 (25.3%) were in transitional care during 2004-2006. Although a larger number of black than white HIV-infected adults were NIC, adjusted odds for NIC status were lower among blacks than whites [adjusted odds ratio (AOR), 0.82; 95% confidence interval 0.74, 0.92)]. Women had lower odds of being NIC than men (AOR, 0.66; 95% confidence interval 0.58, 0.74). Compared with individuals 55 years or older, individuals who were 25-34 years old were most likely to demonstrate both the NIC (AOR, 1.85; 95% confidence interval 1.29, 2.65) and transitional (AOR, 1.85; 95% confidence interval 1.31, 2.62) care patterns. CONCLUSION: Large proportions of the South Carolina HIV-infected adult population are not consistently accessing HIV-medical care. Targeted programs are needed to improve engagement for HIV-infected adults most likely to transition or not be in care.
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