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Predictors of Telemedicine Utilization in a Pediatric Neurosurgical Population During the COVID-19 Pandemic

OBJECTIVE: In the wake of the COVID-19 pandemic, telemedicine has become rapidly adopted by the neurosurgical community; however, few studies have examined predictors of telemedicine utilization. Here, we analyze patient variables associated with the acceptance of a telemedicine encounter by a pedia...

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Autores principales: Lambert, William A., Leclair, Nathan K., Knopf, Joshua, Mosha, Maua H., Bookland, Markus J., Martin, Jonathan E., Hersh, David S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Inc. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9760262/
https://www.ncbi.nlm.nih.gov/pubmed/34224882
http://dx.doi.org/10.1016/j.wneu.2021.06.120
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author Lambert, William A.
Leclair, Nathan K.
Knopf, Joshua
Mosha, Maua H.
Bookland, Markus J.
Martin, Jonathan E.
Hersh, David S.
author_facet Lambert, William A.
Leclair, Nathan K.
Knopf, Joshua
Mosha, Maua H.
Bookland, Markus J.
Martin, Jonathan E.
Hersh, David S.
author_sort Lambert, William A.
collection PubMed
description OBJECTIVE: In the wake of the COVID-19 pandemic, telemedicine has become rapidly adopted by the neurosurgical community; however, few studies have examined predictors of telemedicine utilization. Here, we analyze patient variables associated with the acceptance of a telemedicine encounter by a pediatric neurosurgical population during the early phases of the COVID-19 pandemic. METHODS: All patients seen in a single institution's outpatient pediatric neurosurgery clinic between April 1, 2020 and July 31, 2020 were retrospectively reviewed. Demographic variables were collected for each patient's first completed encounter. Patients participating in telemedicine were compared with those seen in person. Univariate analysis was performed using the Wilcoxon rank sum test for continuous variables and Fischer exact test for categorical variables. A logistic regression multivariable analysis was then performed. RESULTS: We included 682 patients (374 telemedicine and 308 in person). Univariate analysis demonstrated that telemedicine visits were more likely to occur at earlier study dates (P < 0.001) and that patients participating in telemedicine visits were more likely to be established rather than new patients (P < 0.001), White or Caucasian (P < 0.001), not Hispanic or Latino (P < 0.001), English-speaking (P < 0.001), non-Medicare/Medicaid recipients (P < 0.001), have lower no-show rates (P = 0.006), and live farther from the hospital (P = 0.005). Multivariable analysis demonstrated older age (P = 0.031), earlier appointment date (P < 0.01), established patient status (P < 0.001), English-speaking (P < 0.02), and non-Medicare/Medicaid insurance (P < 0.05) were significant predictors of telemedicine utilization. CONCLUSIONS: Significant demographic differences exist among pediatric patients who participated in telemedicine versus those who requested an in-person visit at our institution. Addressing barriers to access will be crucial for promoting health equity in continued utilization of telemedicine.
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spelling pubmed-97602622022-12-19 Predictors of Telemedicine Utilization in a Pediatric Neurosurgical Population During the COVID-19 Pandemic Lambert, William A. Leclair, Nathan K. Knopf, Joshua Mosha, Maua H. Bookland, Markus J. Martin, Jonathan E. Hersh, David S. World Neurosurg Original Article OBJECTIVE: In the wake of the COVID-19 pandemic, telemedicine has become rapidly adopted by the neurosurgical community; however, few studies have examined predictors of telemedicine utilization. Here, we analyze patient variables associated with the acceptance of a telemedicine encounter by a pediatric neurosurgical population during the early phases of the COVID-19 pandemic. METHODS: All patients seen in a single institution's outpatient pediatric neurosurgery clinic between April 1, 2020 and July 31, 2020 were retrospectively reviewed. Demographic variables were collected for each patient's first completed encounter. Patients participating in telemedicine were compared with those seen in person. Univariate analysis was performed using the Wilcoxon rank sum test for continuous variables and Fischer exact test for categorical variables. A logistic regression multivariable analysis was then performed. RESULTS: We included 682 patients (374 telemedicine and 308 in person). Univariate analysis demonstrated that telemedicine visits were more likely to occur at earlier study dates (P < 0.001) and that patients participating in telemedicine visits were more likely to be established rather than new patients (P < 0.001), White or Caucasian (P < 0.001), not Hispanic or Latino (P < 0.001), English-speaking (P < 0.001), non-Medicare/Medicaid recipients (P < 0.001), have lower no-show rates (P = 0.006), and live farther from the hospital (P = 0.005). Multivariable analysis demonstrated older age (P = 0.031), earlier appointment date (P < 0.01), established patient status (P < 0.001), English-speaking (P < 0.02), and non-Medicare/Medicaid insurance (P < 0.05) were significant predictors of telemedicine utilization. CONCLUSIONS: Significant demographic differences exist among pediatric patients who participated in telemedicine versus those who requested an in-person visit at our institution. Addressing barriers to access will be crucial for promoting health equity in continued utilization of telemedicine. Elsevier Inc. 2021-09 2021-07-02 /pmc/articles/PMC9760262/ /pubmed/34224882 http://dx.doi.org/10.1016/j.wneu.2021.06.120 Text en © 2021 Elsevier Inc. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
spellingShingle Original Article
Lambert, William A.
Leclair, Nathan K.
Knopf, Joshua
Mosha, Maua H.
Bookland, Markus J.
Martin, Jonathan E.
Hersh, David S.
Predictors of Telemedicine Utilization in a Pediatric Neurosurgical Population During the COVID-19 Pandemic
title Predictors of Telemedicine Utilization in a Pediatric Neurosurgical Population During the COVID-19 Pandemic
title_full Predictors of Telemedicine Utilization in a Pediatric Neurosurgical Population During the COVID-19 Pandemic
title_fullStr Predictors of Telemedicine Utilization in a Pediatric Neurosurgical Population During the COVID-19 Pandemic
title_full_unstemmed Predictors of Telemedicine Utilization in a Pediatric Neurosurgical Population During the COVID-19 Pandemic
title_short Predictors of Telemedicine Utilization in a Pediatric Neurosurgical Population During the COVID-19 Pandemic
title_sort predictors of telemedicine utilization in a pediatric neurosurgical population during the covid-19 pandemic
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9760262/
https://www.ncbi.nlm.nih.gov/pubmed/34224882
http://dx.doi.org/10.1016/j.wneu.2021.06.120
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