33 research outputs found

    The Impact of Work-Related Factors on Risk of Resident Burnout: A Global Neurosurgery Pilot Study.

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    OBJECTIVE: To examine the risk for burnout in neurosurgery trainees across the globe to compare work-related factors that may contribute to burnout and to determine if there are international differences. METHODS: A 16-question survey was designed and broadcasted through social media networks of global neurosurgeons. The first half of the survey examined work-related factors that may contribute to burnout. The second half studied the respondents\u27 attitudes and emotional responses toward their training, patients, and work environment. RESULTS: There were 797 responses to the survey from 93 countries, and 243 of those were from countries designated as low- to middle-income countries. Of respondents, 20.7% scored in the range designated at risk for burnout. Logistic regression analysis showed that frequency of on-call duty and total work hours were drivers for burnout in the global cohort, but operative caseload may have a protective effect. Intercontinental comparisons revealed that the United States and Canada had the lowest proportion of trainees at risk for burnout (11.2%), whereas Europe had the highest (26.9%). Trainees from low- to middle-income countries worked more hours and on-call shifts than their global colleagues, but their average total burnout score (15.8) and proportion at risk for burnout (20.7%) were identical by global comparison. CONCLUSIONS: Risk for burnout in neurosurgery residents and fellows is driven by multiple factors, including personal, demographic, programmatic, and institutional. Among work-related factors, long and frequent shifts were found to contribute to the risk of burnout in the global cohort. The regional variabilities in the impact of these factors are discussed

    Research-based Residential Fieldwork Learning:Double Bonus?

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    In the current Higher Education climate, there is a pressing need to integrate research and teaching in the student learning experience. In order to create synergy between research and teaching activities, to the benefit of students and instructors, we provided students with the opportunity to participate in a high profile collaboration between two scientific institutions. We planned and developed an integrated module leading the student through all the steps necessary in a large-scale, collaborative research project. Student feedback resulting from the intervention showed impressive levels of improvement in general appreciation of the course. Students also suggested that they would have liked a longer module, despite the intensive workload they experienced. All areas explored (general knowledge, research-based evaluation criteria, group and individual work) showed improvements in student evaluation after the module. We conclude that a residential, integrated experience of scientific research, from initial data collection to presentation at a scientific conference, can produce significant positive, active learning experiences to the students. A double bonus comes from the benefits towards research, both by compilation of data and long-term collaboration opportunities.Javier G. P. Gamarra, Joe E. Ironside, Natasha de Vere, Joel Allainguillaume and Mike J. Wilkinso

    The impact of COVID-19 on neurosurgeons and the strategy for triaging non-emergent operations: a global neurosurgery study.

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    OBJECT: The COVID-19 pandemic has disrupted all aspects of society globally. As healthcare resources had to be preserved for infected patients, and the risk of in-hospital procedures escalated for uninfected patients and staff, neurosurgeons around the world have had to postpone non-emergent procedures. Under these unprecedented conditions, the decision to defer cases became increasingly difficult as COVID-19 cases skyrocketed. METHODS: Data was collected by self-reporting surveys during two discrete periods: the principal survey accrued responses during 2 weeks at the peak of the global pandemic, and the supplemental survey accrued responses after that to detect changes in opinions and circumstances. Nine hypothetical surgical scenarios were used to query neurosurgeons\u27 opinion on the risk of postponement and the urgency to re-schedule the procedures. An acuity index was generated for each scenario, and this was used to rank the nine cases. RESULTS: There were 494 respondents to the principal survey from 60 countries. 258 (52.5%) reported that all elective cases and clinics have been shut down by their main hospital. A total of 226 respondents (46.1%) reported that their operative volume had dropped more than 50%. For the countries most affected by COVID-19, this proportion was 54.7%. There was a high degree of agreement among our respondents that fast-evolving neuro-oncological cases are non-emergent cases that nonetheless have the highest risk in postponement, and selected vascular cases may have high acuity as well. CONCLUSION: We report on the impact of COVID-19 on neurosurgeons around the world. From their ranking of the nine case scenarios, we deduced a strategic scheme that can serve as a guideline to triage non-emergent neurosurgical procedures during the pandemic. With it, hopefully, neurosurgeons can continue to serve their patients without endangering them either neurologically or risking their exposure to the deadly virus

    The impact of COVID-19 on neurosurgeons and the strategy for triaging non-emergent operations: a global neurosurgery study.

    No full text
    OBJECT: The COVID-19 pandemic has disrupted all aspects of society globally. As healthcare resources had to be preserved for infected patients, and the risk of in-hospital procedures escalated for uninfected patients and staff, neurosurgeons around the world have had to postpone non-emergent procedures. Under these unprecedented conditions, the decision to defer cases became increasingly difficult as COVID-19 cases skyrocketed. METHODS: Data was collected by self-reporting surveys during two discrete periods: the principal survey accrued responses during 2 weeks at the peak of the global pandemic, and the supplemental survey accrued responses after that to detect changes in opinions and circumstances. Nine hypothetical surgical scenarios were used to query neurosurgeons\u27 opinion on the risk of postponement and the urgency to re-schedule the procedures. An acuity index was generated for each scenario, and this was used to rank the nine cases. RESULTS: There were 494 respondents to the principal survey from 60 countries. 258 (52.5%) reported that all elective cases and clinics have been shut down by their main hospital. A total of 226 respondents (46.1%) reported that their operative volume had dropped more than 50%. For the countries most affected by COVID-19, this proportion was 54.7%. There was a high degree of agreement among our respondents that fast-evolving neuro-oncological cases are non-emergent cases that nonetheless have the highest risk in postponement, and selected vascular cases may have high acuity as well. CONCLUSION: We report on the impact of COVID-19 on neurosurgeons around the world. From their ranking of the nine case scenarios, we deduced a strategic scheme that can serve as a guideline to triage non-emergent neurosurgical procedures during the pandemic. With it, hopefully, neurosurgeons can continue to serve their patients without endangering them either neurologically or risking their exposure to the deadly virus

    Fully Automated Segmentation Algorithm for Hematoma Volumetric Analysis in Spontaneous Intracerebral Hemorrhage

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    Background and Purpose- Hematoma volume measurements influence prognosis and treatment decisions in patients with spontaneous intracerebral hemorrhage (ICH). The aims of this study are to derive and validate a fully automated segmentation algorithm for ICH volumetric analysis using deep learning methods. Methods- In-patient computed tomography scans of 300 consecutive adults (age \u3e/=18 years) with spontaneous, supratentorial ICH who were enrolled in the ICHOP (Intracerebral Hemorrhage Outcomes Project; 2009-2018) were separated into training (n=260) and test (n=40) datasets. A fully automated segmentation algorithm was derived using convolutional neural networks, and it was trained on manual segmentations from the training dataset. The algorithm\u27s performance was assessed against manual and semiautomated segmentation methods in the test dataset. Results- The mean volumetric Dice similarity coefficients for the fully automated segmentation algorithm when tested against manual and semiautomated segmentation methods were 0.894+/-0.264 and 0.905+/-0.254, respectively. ICH volumes derived from fully automated versus manual (R(2)=0.981; P\u3c0.0001), fully automated versus semiautomated (R(2)=0.978; P\u3c0.0001), and semiautomated versus manual (R(2)=0.990; P\u3c0001) segmentation methods had strong between-group correlations. The fully automated segmentation algorithm (mean 12.0+/-2.7 s/scan) was significantly faster than both of the manual (mean 201.5+/-92.2 s/scan; P\u3c0.001) and semiautomated (mean 288.58+/-160.3 s/scan; P\u3c0.001) segmentation methods. Conclusions- The fully automated segmentation algorithm quantified hematoma volumes from computed tomography scans of supratentorial ICH patients with similar accuracy and substantially greater efficiency compared with manual and semiautomated segmentation methods. External validation of the fully automated segmentation algorithm is warranted
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