Evidence map›Paper›PMID 32512241›Full record

ArticleWorld neurosurgery2020

Telemedicine in Neurosurgery: Lessons Learned and Transformation of Care During the COVID-19 Pandemic.

Nikolaos Mouchtouris, Pascal Lavergne, Thiago S Montenegro, Glenn Gonzalez, Michael Baldassari, Ashwini Sharan, Pascal Jabbour, James Harrop, Robert Rosenwasser, James J Evans

Open access · greenAbstract read
In one paragraph

Article in World neurosurgery, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed, 3 pooled it
12.4field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

30 citing papers in PubMed, 3 syntheses or guidelines pooled it, 72 citations in OpenAlex.

  1. Pooled it
  2. The Development of Telemedicine and eHealth in Surgery during the SARS-CoV-2 Pandemic.International journal of environmental research and public health · 2021
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors at 1 institution in 1 country.

Nikolaos MouchtourisDepartment of Neurosurgery, Thomas Jefferson University and Jefferson Hospital for Neuroscience, Philadelphia, Pennsylvania, USA.
Pascal LavergneDepartment of Neurosurgery, Thomas Jefferson University and Jefferson Hospital for Neuroscience, Philadelphia, Pennsylvania, USA.
Thiago S MontenegroDepartment of Neurosurgery, Thomas Jefferson University and Jefferson Hospital for Neuroscience, Philadelphia, Pennsylvania, USA.
Glenn GonzalezDepartment of Neurosurgery, Thomas Jefferson University and Jefferson Hospital for Neuroscience, Philadelphia, Pennsylvania, USA.
Michael BaldassariDepartment of Neurosurgery, Thomas Jefferson University and Jefferson Hospital for Neuroscience, Philadelphia, Pennsylvania, USA.
Ashwini SharanDepartment of Neurosurgery, Thomas Jefferson University and Jefferson Hospital for Neuroscience, Philadelphia, Pennsylvania, USA.
Pascal JabbourDepartment of Neurosurgery, Thomas Jefferson University and Jefferson Hospital for Neuroscience, Philadelphia, Pennsylvania, USA.
James HarropDepartment of Neurosurgery, Thomas Jefferson University and Jefferson Hospital for Neuroscience, Philadelphia, Pennsylvania, USA.
Robert RosenwasserDepartment of Neurosurgery, Thomas Jefferson University and Jefferson Hospital for Neuroscience, Philadelphia, Pennsylvania, USA.
James J EvansDepartment of Neurosurgery, Thomas Jefferson University and Jefferson Hospital for Neuroscience, Philadelphia, Pennsylvania, USA. Electronic address: James.Evans@Jefferson.edu.
Thomas Jefferson University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBefore the COVID-19 pandemic, telemedicine utilization was mostly used for postoperative visits only in neurosurgery. Shelter-in-place measures led the rapid expansion of telemedicine to address the needs of the neurosurgical patient population. Our goal is to determine the extent of adoption of telemedicine across tumor, vascular, spine, and function neurosurgery and utilization for new patient visits.

methodsA single-center retrospective cohort study of patients who received neurosurgical care at a tertiary academic center from February to April 2020 was conducted. Patients evaluated from March to April 2019 were included for comparison. A total of 10,746 patients were included: 1247 patients underwent surgery, 8742 were seen in clinic via an in-person outpatient visit, and 757 were assessed via telemedicine during the study period.

resultsA 40-fold increase in the use of telemedicine was noted after the shelter-in-place measures were initiated with a significant increase in the mean number of patients evaluated via telemedicine per week across all divisions of neurosurgery (4.5 ± 0.9 to 180.4 ± 13.9, P < 0.001). The majority of telemedicine appointments were established patient visits (61.2%), but the proportion of new patient visits also significantly increased to an average of 8.2 ± 5.3 per week across all divisions.

conclusionsUse of telemedicine drastically increased across all 4 divisions within neurosurgery with a significant increase in online-first encounters in order to meet the needs of our patients once the shelter-in-place measures were implemented. We provide a detailed account of the lessons learned and discuss the anticipated role of telemedicine in surgical practices once the shelter-in-place measures are lifted.

Indexed as

Coronavirus InfectionsNeurosurgical ProceduresPandemicsPneumonia, ViralTelemedicineAppointments and SchedulesBetacoronavirusCOVID-19HumansRetrospective StudiesSARS-CoV-2COVID-19NeurosurgeryTelemedicine

Identifiers

PMID32512241
PMCPMC7274123
OpenAlexW3033861099

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.