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Updated: Oct 11, 2025

A Teleoperated Robotic System-Assisted Percutaneous Transiliac-Transsacral Screw Fixation Technique
Published on: January 6, 2023
High-quality neurosurgeon communication and visualization during telemedicine encounters improves patient
Adrian Rodrigues1, Guan Li1, Michael Zhang1
1Department of Neurosurgery, Stanford School of Medicine, Stanford, CA, USA.
Introduction:
While recent studies have focused on confirming satisfaction with telemedicine during the coronavirus disease 2019 (COVID-19) era, we leveraged a novel survey instrument to identify associations between patient experience and telemedicine-specific factors such as device selection, audio/visual resolution, and connection stability.
Methods:
Telemedicine visit data were gathered from our institution between June 22, 2020 and February 14, 2021. Each patient indicated their overall visit score, likelihood-to-recommend (LTR) score, and device used for the encounter. Remaining questions were randomly distributed to patients to ensure equal distribution across respondents.
Results:
Over 34 weeks, there were 901 unique neurosurgical telemedicine visits linked to a post-visit survey at our institution. The LTR top box score percentage showed no significant change across 34 weeks (p = 0.218). After adjusting across available covariates, patients who experienced wait times exceeding 20 min were significantly less likely to report high overall scores (aOR: 0.12; 95% CI: 0.03-0.41; p = 0.001). Patients who indicated they were less able to understand the provider (aOR: 0.22; 95% CI: 0.07-0.66; p = 0.007), or who indicated the provider was not able to properly see them (aOR: 0.11; 95% CI: 0.03-0.43; p = 0.002) were associated with substantially lower overall scores. Visits with interrupted connectivity or those forced to move to a regular phone call were not important predictors of overall score.
Conclusions:
In the largest description of patient satisfaction with telemedicine in the neurosurgical setting during the COVID-19 era, we identified timely and high-quality physician-patient visualization and communication as among the most important predictors of patient satisfaction in virtual settings.
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