Ulrick Sidney Kanmounye1, Jean Wilguens Lartigue2, Samantha Sadler3, Ho Kei Yuki Ip4, Jacquelyn Corley5, Miguel Angel Arraez6, Kee Park7. 1. Global Neurosurgery Initiative, Program in Global Surgery and Social Change, Harvard Medical School, Boston, Massachusetts, USA. Electronic address: ulricksidney@gmail.com. 2. Harvard Medical School, Boston, Massachusetts, USA. 3. Global Neurosurgery Initiative, Program in Global Surgery and Social Change, Harvard Medical School, Boston, Massachusetts, USA; Harvard Medical School, Boston, Massachusetts, USA. 4. Global Neurosurgery Initiative, Program in Global Surgery and Social Change, Harvard Medical School, Boston, Massachusetts, USA; Li KaShing Faculty of Medicine, The University of Hong Kong, Hong Kong, China. 5. Global Neurosurgery Initiative, Program in Global Surgery and Social Change, Harvard Medical School, Boston, Massachusetts, USA; Department of Neurosurgery, Duke University Medical Center, Durham, North Carolina, USA. 6. World Federation of Neurosurgical Societies Foundation, Vaud, Switzerland. 7. Global Neurosurgery Initiative, Program in Global Surgery and Social Change, Harvard Medical School, Boston, Massachusetts, USA.
Abstract
BACKGROUND: Every year, there are an estimated 22.6 million new neurosurgical consultative cases worldwide, of which 13.8 million require surgery. In 2016, the global neurosurgical workforce was estimated and mapped as open-access information to guide neurosurgeons, affiliates, and policy makers. We present a subsequent investigation for mapping the global neurosurgical workforce for 2018 to show the replicability of previous data collection methods as well as to show any changes in workforce density. METHODS: We extracted data on the absolute number of neurosurgeons per low and middle-income countries (LMICs) in 2016 from the database of the global neurosurgical workforce mapping project. The estimated number of neurosurgeons in each LMIC during 2018 was obtained from collaborators. The median workforce densities were calculated for 2016 and 2018. Neurosurgical workforce density heat maps were generated. RESULTS: We received data from 119 countries (response rate 86.2%) and imputed data for 19 countries (13.8%). Seventy-eight (56.5%, N = 138) countries had an increase in their number of neurosurgeons, 9 (6.5%) showed a decrease, whereas 51 (37.0%) had the same number of neurosurgeons in both years. The pooled median increased from 0.17 (interquartile range, 0.54) in 2016 to 0.18 (interquartile range, 0.59) in 2018. CONCLUSIONS: Overall, the density of the neurosurgical workforce has increased from 2016 to 2018. However, at the current rate, 80 LMICs (58.0%) will not meet the neurosurgical workforce density target by 2030.
BACKGROUND: Every year, there are an estimated 22.6 million new neurosurgical consultative cases worldwide, of which 13.8 million require surgery. In 2016, the global neurosurgical workforce was estimated and mapped as open-access information to guide neurosurgeons, affiliates, and policy makers. We present a subsequent investigation for mapping the global neurosurgical workforce for 2018 to show the replicability of previous data collection methods as well as to show any changes in workforce density. METHODS: We extracted data on the absolute number of neurosurgeons per low and middle-income countries (LMICs) in 2016 from the database of the global neurosurgical workforce mapping project. The estimated number of neurosurgeons in each LMIC during 2018 was obtained from collaborators. The median workforce densities were calculated for 2016 and 2018. Neurosurgical workforce density heat maps were generated. RESULTS: We received data from 119 countries (response rate 86.2%) and imputed data for 19 countries (13.8%). Seventy-eight (56.5%, N = 138) countries had an increase in their number of neurosurgeons, 9 (6.5%) showed a decrease, whereas 51 (37.0%) had the same number of neurosurgeons in both years. The pooled median increased from 0.17 (interquartile range, 0.54) in 2016 to 0.18 (interquartile range, 0.59) in 2018. CONCLUSIONS: Overall, the density of the neurosurgical workforce has increased from 2016 to 2018. However, at the current rate, 80 LMICs (58.0%) will not meet the neurosurgical workforce density target by 2030.
Authors: Ulrick Sidney Kanmounye; Claire Karekezi; Arsene Daniel Nyalundja; Ahmed K Awad; Tsegazeab Laeke; James A Balogun Journal: Neuro Oncol Date: 2022-10-03 Impact factor: 13.029
Authors: Ulrick Sidney Kanmounye; Yvan Zolo; Faith C Robertson; Nourou Dine Adeniran Bankole; Kantenga Dieu Merci Kabulo; Jeff M Ntalaja; Juma Magogo; Ahmed Negida; Nqobile Thango; Ignatius Esene; Brenton Pennicooke; Camilo A Molina Journal: Ann Med Surg (Lond) Date: 2021-07-29
Authors: Dawin Sichimba; Soham Bandyopadhyay; Ana Catinca Ciuculete; Joshua Erhabor; Jay Kotecha; Abdullah Egiz; Nourou Dine Adeniran Bankole; George Higginbotham; David Ulrich Dalle; Ulrick Sidney Kanmounye Journal: Front Surg Date: 2022-01-20