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. Supplementary Information The online version contains supplementary material available at 10.1007/s10461-021-03394-7.
【저자키워드】 HIV, COVID-19 pandemic, telehealth, Digital disparities, 【초록키워드】 COVID-19, protocol, Population, Characteristics, Viral load, Patient, Care, platform, Logistic, Factor, Ryan White, supplementary material, 95% CI, effort, random effect, Result, greater, predicted, detectable, secure, 【제목키워드】 COVID-19, Factor, Appointment, completion, System, with HIV,