As the threat of COVID-19 on vulnerable populations continues, mitigation protocols have escalated the use of telehealth platforms, secure 2-way video platforms with audio capabilities. The goal of the current study was to examine factors associated with successful completion of video telehealth appointments in HIV care. We utilized a random effects logistic model to assess characteristics of patient encounters that predicted completed telehealth visits. Results show that factors such as identifying as black (AOR = 0.30, 95% CI 0.23-0.40, p < 0.01), identifying as heterosexual (AOR = 0.40, 95% CI, 0.29-0.55, p < 0.01), identifying as Hispanic/Latinx (AOR = 0.67, 95% CI, 0.48-0.95), having public insurance (e.g., Ryan White funding, Medicare/Medicaid) (AOR = .25, 95% CI 0.19-0.33, p < .001), and having detectable viral load (AOR = .049, 95% CI, 0.31-0.76) are negatively associated with completion of telehealth appointments. Results suggest that greater efforts to address the digital divide are needed to increase access to video telehealth.
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8313002 | PMC |
http://dx.doi.org/10.1007/s10461-021-03394-7 | DOI Listing |
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