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Does Travel Time Matter?: Predictors of Transportation Vulnerability and Access to HIV Care Among People Living with HIV in South Carolina

Overview
Publisher Biomed Central
Specialty Public Health
Date 2025 Mar 8
PMID 40057737
Authors
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Abstract

Background: People living with HIV (PLHIV) in the southern United States (US) are at high risk for poor outcomes across the HIV care continuum leading to low rates of viral suppression. Understanding structural barriers to care-including transportation vulnerability-is critical to improve HIV outcomes. This study investigated relationships between travel time to HIV care, transportation vulnerability, and HIV care disruptions to inform future transportation interventions for PLHIV residing in South Carolina and other southern US states.

Methods: A total of 160 PLHIV (N = 160) were recruited from a large immunology center in South Carolina. Participants reported on transportation experiences, transportation vulnerabilities, and residence. Differences in sociodemographic characteristics, transportation vulnerabilities, and HIV care disruptions were compared across travel time groups (< 15, 15-30, and > 30 min from residential location to the HIV clinic) using Mantel-Haenszel Chi-Square tests. Multivariable logistic regression tested our a priori hypothesis that travel time would predict HIV care disruptions.

Results: A majority of participants were aged 45-64 years old (54.4%), single (77.0%), male (63.8%), and Black (77.5%). Nearly 20% of participants lived < 15 min from their HIV clinic, 59.1% lived 15-30 min, and 21.4% lived > 30 min away. PLHIV who had to travel > 30 min to HIV care were more likely than those living < 15 min away to report transportation vulnerability (73.5% vs. 51.6%, p = 0.048), missed HIV care appointments (64.7% vs. 41.9%, p = 0.049), and transportation challenges that prevented them from seeing HIV care providers (67.7% vs. 39.4%; p = 0.014). Adjusted odds ratios (AOR) show that PLHIV who had to travel > 30 min were more likely to experience transportation-related disruptions to HIV care, including being late to appointments (AOR 5.25, 95% CI:1.06-25.92), missing appointments (AOR 3.85, 95% CI:1.04-15.89), and being unable to see HIV providers (AOR 7.06, 95% CI:0.59-14.89).

Conclusions: In South Carolina-a rural southern state with a disproportionate burden of HIV-long travel time (> 30 min) to HIV care is associated with care disruptions, including more missed visits. Transportation interventions, as well as other efforts to expand rural access to HIV care, are urgently needed to ensure that all PLHIV are able to engage in consistent HIV care in order to reach and maintain viral suppression.

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