Interest and participation in global neurosurgery: a survey of Canadian neurosurgery residents
Bibliographic record
Abstract
OBJECTIVE: The lack of access to primary neurosurgical care presents a significant burden for patients in low- and middle-income countries (LMICs). Efforts to decrease the inequities in access to surgical care have become an increasing focus of initiatives and advocacy within the international neurosurgery community. Although residents may represent highly active members of international teams, the extent of their availability for and interest in global neurosurgery opportunities remains unclear. The objectives of this study were to assess the degree of participation, the level of interest, and the perceived barriers for residents of Canadian neurosurgery programs in engaging in neurosurgery initiatives in LMICs. METHODS: A cross-sectional survey was administered to 144 residents from all accredited Canadian neurosurgery residency programs. The survey was used to determine the level of participation and interest in global neurosurgery initiatives. RESULTS: The survey response rate from residents at Canadian neurosurgery programs was 45/144 (31%), although not all respondents answered every question; thus, the denominator for each question is not always 45. Most neurosurgery residents (n = 30, 68%) were unaware of any global neurosurgery opportunities available during residency. Despite 64% of residents having an interest in participation (strongly agree/agree; n = 28), with most residents planning on participating as attending staff (strongly agree/agree; n = 28, 64%), only 3 residents (7%) had taken part in LMIC neurosurgery initiatives. The most cited perceived limitations for participation were lack of time (n = 37, 84%) and finances (n = 26, 59%). CONCLUSIONS: Among surveyed residents from Canadian neurosurgery programs, there was a low participation rate in global neurosurgery initiatives and limited knowledge of available opportunities, despite relatively high interest. Many respondents identified time and financial constraints as barriers to participation. Many residents felt that interest could increase were there a structured program dedicated to global neurosurgery available in their residency program.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".