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Introduction: The coronavirus disease 2019 (COVID-19) heralded an unprecedented increase in telemedicine utilization. Our objective was to assess patient satisfaction with telemedicine during the COVID-19 era. Methods: Telemedicine visit data were gathered from Stanford Health Care (Stanford) and the Hospital for Special Surgery (HSS). Patient satisfaction data from HSS were captured from a Press-Ganey questionnaire between April 19, 2020, and December 12, 2020, whereas Stanford data were taken from a novel survey instrument that was distributed to all patients between June 22, 2020, and November 1, 2020. Participants: There were 60,550 telemedicine visits at Stanford, each linked with a postvisit survey. At HSS, there were 66,349 total telemedicine visits with 7,348 randomly linked with a postvisit survey. Main Outcomes and Measures: Two measures of patient satisfaction were used for this study: (1) a patient's "overall visit score" and (2) whether the patient indicated the highest possible "likelihood to recommend" (LTR) score (LTR top box score). Results: The LTR top box percentage at Stanford increased from 69.6% to 74.0% ( p  = 0.0002), and HSS showed no significant change (p = 0.7067). In the multivariable model, the use of a cell phone (adjusted odds ratio [aOR]: 1.18; 95% confidence interval [CI]: 1.12-1.23) and tablet (aOR: 1.15; 95% CI: 1.07-1.23) was associated with higher overall scores, whereas visits with interrupted connections (aOR: 0.49; 95% CI: 0.42-0.57) or help required to connect (aOR: 0.49; 95% CI: 0.42-0.56) predicted lower patient satisfaction. Conclusions: We present the largest published description of patient satisfaction with telemedicine, and we identify important telemedicine-specific factors that predict increased overall visit score. These include the use of cell phones or tablets, phone reminders, and connecting before the visit was scheduled to begin. Visits with poor connectivity, extended wait times, or difficulty being seen, examined, or understood by the provider were linked with reduced odds of high scores. Our results suggest that attention to connectivity and audio/visual definition will help optimize patient satisfaction with future telemedicine encounters.

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., Competing Interests: Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2021. Published by Elsevier Ltd.)

Introduction: The coronavirus disease 2019 (COVID-19) heralded an unprecedented increase in telemedicine utilization. Our objective was to assess patient satisfaction with telemedicine during the COVID-19 era. Methods: Telemedicine visit data were gathered from Stanford Health Care (Stanford) and the Hospital for Special Surgery (HSS). Patient satisfaction data from HSS were captured from a Press-Ganey questionnaire between April 19, 2020, and December 12, 2020, whereas Stanford data were taken from a novel survey instrument that was distributed to all patients between June 22, 2020, and November 1, 2020. Participants: There were 60,550 telemedicine visits at Stanford, each linked with a postvisit survey. At HSS, there were 66,349 total telemedicine visits with 7,348 randomly linked with a postvisit survey. Main Outcomes and Measures: Two measures of patient satisfaction were used for this study: (1) a patient's "overall visit score" and (2) whether the patient indicated the highest possible "likelihood to recommend" (LTR) score (LTR top box score). Results: The LTR top box percentage at Stanford increased from 69.6% to 74.0% (p = 0.0002), and HSS showed no significant change (p = 0.7067). In the multivariable model, the use of a cell phone (adjusted odds ratio [aOR]: 1.18; 95% confidence interval [CI]: 1.12–1.23) and tablet (aOR: 1.15; 95% CI: 1.07–1.23) was associated with higher overall scores, whereas visits with interrupted connections (aOR: 0.49; 95% CI: 0.42–0.57) or help required to connect (aOR: 0.49; 95% CI: 0.42–0.56) predicted lower patient satisfaction. Conclusions: We present the largest published description of patient satisfaction with telemedicine, and we identify important telemedicine-specific factors that predict increased overall visit score. These include the use of cell phones or tablets, phone reminders, and connecting before the visit was scheduled to begin. Visits with poor connectivity, extended wait times, or difficulty being seen, examined, or understood by the provider were linked with reduced odds of high scores. Our results suggest that attention to connectivity and audio/visual definition will help optimize patient satisfaction with future telemedicine encounters. [ABSTRACT FROM AUTHOR]