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Identifying Barriers to Successful Completion of Video Telemedicine Visits in Urology

The utilization of video telemedicine has dramatically increased due to the COVID-19 pandemic. However, significant social and technological barriers have led to disparities in access. We aimed to identify factors associated with patient inability to successfully initiate a video visit across a high...

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Bibliographic Details
Published in:Urology (Ridgewood, N.J.) N.J.), 2022-11, Vol.169, p.17-22
Main Authors: Shee, Kevin, Liu, Andrew W., Yarbrough, Carol, Branagan, Linda, Pierce, Logan, Odisho, Anobel Y.
Format: Article
Language:English
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Summary:The utilization of video telemedicine has dramatically increased due to the COVID-19 pandemic. However, significant social and technological barriers have led to disparities in access. We aimed to identify factors associated with patient inability to successfully initiate a video visit across a high-volume urologic practice. Video visit completion rates and patient characteristics were extracted from the electronic medical record and linked with census-level socioeconomic data. Associations between video visit failure were identified using multivariate regression modeling and random forest ensemble classification modeling. Six thousand eighty six patients and their first video visits were analyzed. On multivariate logistic regression analysis, Hispanic or Latino patients (OR 0.52, 95%CI 0.31-0.89), patients insured by Medicare (OR 0.46, 95%CI 0.26-0.79) or Medicaid (OR 0.50, 95%CI 0.29-0.87), patients of low socioeconomic status (OR 0.98, 95%CI 0.98-0.99), patients with an un-activated MyChart patient portal (OR 0.43, 95%CI 0.29-0.62), and patients unconfirmed at appointment reminder (OR 0.68, 95%CI 0.48-0.96) were significantly associated with video visit failure. Patients with primary diagnosis category of men's health (OR 47.96, 95%CI 10.24-856.35), and lower urinary tract syndromes (OR 2.69, 95%CI 1.66-4.51) were significantly associated with video visit success. Random forest analyses identified insurance status and socioeconomic status as the top predictors of video visit failure. An analysis of a urology video telemedicine cohort reveals clinical and demographic disparities in video visit completion and priorities for future interventions to ensure equity of access. Our study further suggests that specific urologic indications may play a role in success or failure of video visits.
ISSN:0090-4295
1527-9995
DOI:10.1016/j.urology.2022.07.054