Unknown

Dataset Information

Disparities in Telemedicine Utilization for Urology Patients During the COVID-19 Pandemic.


ABSTRACT:

Objective

To determine the odds of accessing telemedicine either by phone or by video during the COVID-19 pandemic.

Methods

We performed a retrospective study of patients who were seen at a single academic institution for a urologic condition between March 15, 2020 and September 30, 2020. The primary outcome was to determine characteristics associated with participating in a telemedicine appointment (video or telephone) using logistic regression multivariable analysis. We used a backward model selection and variables that were least significant were removed. We adjusted for reason for visit, patient characteristics such as age, sex, ethnicity, race, reason for visit, preferred language, and insurance. Variables that were not significant that were removed from our final model

SUBMITTER: Javier-DesLoges J 

PROVIDER: S-EPMC8719918 | biostudies-literature | 2022 May

REPOSITORIES: biostudies-literature