Journal article
The World Federation of Neurosurgical Societies Young Neurosurgeons Survey (Part I): Demographics, Resources, and Education.
- Gnanakumar S School of Clinical Medicine, University of Cambridge, Cambridge, United Kingdom.
- Abou El Ela Bourquin B School of Clinical Medicine, University of Cambridge, Cambridge, United Kingdom.
- Robertson FC Department. of Neurosurgery, Massachusetts General Hospital, Boston, Massachusetts, USA.
- Solla DJF Department of Neurosurgery, University of São Paulo, Brazil.
- Karekezi C Department of Neurosurgery, Rwanda Military Hospital, Kigali, Rwanda.
- Vaughan K Department of Neurosurgery, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
- Garcia RM Department of Neurosurgery, Northwestern University, Chicago, Illinois, USA.
- Hassani FD Department of Neurosurgery, Cheikh Zaid International Hospital, Abulcasis International University of Health Sciences, Rabat, Morocco.
- Alamri A Department of Neurosurgery, The Royal London Hospital, London, United Kingdom.
- Höhne J Department of Neurosurgery, University Medical Center Regensburg, Regensburg, Germany.
- Mentri N Department of Neurosurgery, Bejaia University Hospital, Bejaia, Algeria.
- Stienen M Department of Neurosurgery, University Hospital Zurich and Clinical Neuroscience Center, University of Zurich, Switzerland.
- Laeke T Department of Surgery, Neurosurgery Unit, Addis Ababa University, College of Health Sciences, Addis Ababa, Ethiopia.
- Moscote-Salazar LR Department of Neurosurgery, University of Cartagena, Cartagena de Indias, Colombia.
- Al-Ahmari AN Division of Neurosurgery, Department of Neurosciences, King Faisal Specialist Hospital and Research Centre, Riyadh, Saudi Arabia.
- Al-Jehani H Department of Neurosurgery, King Fahad Hospital of the University, Imam Abdulrahman bin Faisal University, Alkhobar, Saudi Arabia.
- Nicolosi F Department of Neurosurgery, Humanitas University and Research Hospital, Rozzano, Milan, Italy.
- Samprón N Servicio de Neurocirugía, Hospital Universitario Donostia, San Sebastián, Spain.
- Adelson PD Barrow Neurological Institute at Phoenix Children's Hospital, Phoenix, Arizona, USA.
- Servadei F Department of Neurosurgery, Humanitas University and Research Hospital, Rozzano, Milan, Italy.
- Esene IN Neurosurgery Division, Department of Surgery, University of Bamenda, Bamenda, Cameroon.
- Al-Habib A Division of Neurosurgery, Department of Surgery, King Saud University, Riyadh, Saudi Arabia.
- Kolias AG National Institute for Health Research Global Health Research Group on Neurotrauma, University of Cambridge, Cambridge, United Kingdom.
- 2020-10-26
Published in:
- World neurosurgery: X. - 2020
CT, Computed tomography
Demographics
Education
Global health
Global neurosurgery
HICs, High-income countries
ICU, Intensive care unit
LICs, Low-income countries
LMICs, Low-middle-income countries
MRI, Magnetic resonance imaging
Neurosurgery
Resources
Training
UMICs, Upper-middle-income countries
aSAH, aneurysmal subarachnoid hemorrhage
English
Background
Providing a comprehensive and effective neurosurgical service requires adequate numbers of well-trained, resourced, and motivated neurosurgeons. The survey aims to better understand 1) the demographics of young neurosurgeons worldwide; 2) the challenges in training and resources that they face; 3) perceived barriers; and 4) needs for development.
Methods
This was a cross-sectional study in which a widely disseminated online survey (April 2018-November 2019) was used to procure a nonprobabilistic sample from current neurosurgical trainees and those within 10 years of training. Data were grouped by World Bank income classifications and analyzed using χ2 tests because of its categorical nature.
Results
There were 1294 respondents, with 953 completed responses included in the analysis. Of respondents, 45.2% were from high-income countries (HICs), 23.2% from upper-middle-income countries, 26.8% lower-middle-income countries, and 4.1% from low-income countries. Most respondents (79.8%) were male, a figure more pronounced in lower-income groups. Neuro-oncology was the most popular in HICs and spinal surgery in all other groups. Although access to computed tomography scanning was near universal (98.64%), magnetic resonance imaging access decreased to 66.67% in low-income countries, compared with 98.61% in HICs. Similar patterns were noted with access to operating microscopes, image guidance systems, and high-speed drills. Of respondents, 71.4% had dedicated time for neurosurgical education.
Conclusions
These data confirm and quantify disparities in the equipment and training opportunities among young neurosurgeons practicing in different income groups. We hope that this study will act as a guide to further understand these differences and target resources to remedy them.
Providing a comprehensive and effective neurosurgical service requires adequate numbers of well-trained, resourced, and motivated neurosurgeons. The survey aims to better understand 1) the demographics of young neurosurgeons worldwide; 2) the challenges in training and resources that they face; 3) perceived barriers; and 4) needs for development.
Methods
This was a cross-sectional study in which a widely disseminated online survey (April 2018-November 2019) was used to procure a nonprobabilistic sample from current neurosurgical trainees and those within 10 years of training. Data were grouped by World Bank income classifications and analyzed using χ2 tests because of its categorical nature.
Results
There were 1294 respondents, with 953 completed responses included in the analysis. Of respondents, 45.2% were from high-income countries (HICs), 23.2% from upper-middle-income countries, 26.8% lower-middle-income countries, and 4.1% from low-income countries. Most respondents (79.8%) were male, a figure more pronounced in lower-income groups. Neuro-oncology was the most popular in HICs and spinal surgery in all other groups. Although access to computed tomography scanning was near universal (98.64%), magnetic resonance imaging access decreased to 66.67% in low-income countries, compared with 98.61% in HICs. Similar patterns were noted with access to operating microscopes, image guidance systems, and high-speed drills. Of respondents, 71.4% had dedicated time for neurosurgical education.
Conclusions
These data confirm and quantify disparities in the equipment and training opportunities among young neurosurgeons practicing in different income groups. We hope that this study will act as a guide to further understand these differences and target resources to remedy them.
- Language
-
- English
- Open access status
- gold
- Identifiers
-
- DOI 10.1016/j.wnsx.2020.100083
- PMID 33103109
- Persistent URL
- https://sonar.ch/global/documents/152226
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