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Record W1534021796 · doi:10.3171/2013.7.peds12597

Perceived benefits and barriers to a career in pediatric neurosurgery: a survey of neurosurgical residents

2013· article· en· W1534021796 on OpenAlexaboutno aff
Mark S. Dias, Jeffrey S. Sussman, Susan Durham, Mark Iantosca

Bibliographic record

VenueJournal of Neurosurgery Pediatrics · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicDiversity and Career in Medicine
Canadian institutionsnot available
Fundersnot available
KeywordsMedicinePediatric neurosurgeryNeurosurgeryFamily medicineResidency trainingMedical educationSurgeryContinuing education

Abstract

fetched live from OpenAlex

OBJECT: Research suggests that there may be a growing disparity between the supply of and demand for both pediatric specialists and neurosurgeons. Whether pediatric neurosurgeons are facing such a disparity is disputable, but interest in pediatric neurosurgery (PNS) has waxed and waned as evidenced by the number of applicants for PNS fellowships. The authors undertook a survey to analyze current neurosurgical residents' perceptions of both benefits and deterrents to a pediatric neurosurgical career. METHODS: All residents and PNS fellows in the United States and Canada during the academic year 2008-2009 were invited to complete a Web-based survey that assessed 1) demographic and educational information about residents and their residency training, particularly as it related to training in PNS; 2) residents' exposure to mentoring opportunities from pediatric neurosurgical faculty and their plans for the future; and 3) residents' perceptions about how likely 40 various factors were to influence their decision about whether to pursue a PNS career. RESULTS: Four hundred ninety-six responses were obtained: 89% of the respondents were male, 63% were married, 75% were in at least their 3rd year of postgraduate training, 61% trained in a children's hospital and 29% in a children's "hospital within a hospital," and 72% were in programs having one or more dedicated PNS faculty members. The residencies of 56% of respondents offered 6-11 months of PNS training and nearly three-quarters of respondents had completed 2 months of PNS training. During medical school, 92% had been exposed to neurosurgery and 45% to PNS during a clinical rotation, but only 7% identified a PNS mentor. Nearly half (43%) are considering a PNS career, and of these, 61% are definitely or probably considering post-residency fellowship. On the other hand, 68% would prefer an enfolded fellowship during residency. Perceived strengths of PNS included working with children, developing lasting relationships, wider variety of operations, fast healing and lack of comorbidities, and altruism. Perceived significant deterrents included shunts, lower reimbursement, cross-coverage issues, higher malpractice premiums and greater legal exposure, and working with parents and pediatric health professionals. The intrinsic nature of PNS was listed as the most significant deterrent (46%) followed by financial concerns (25%), additional training (12%), longer work hours (12%), and medicolegal issues (4%). The majority felt that fellowship training and PNS certification should be recommended for surgeons treating of all but traumatic brain injuries and Chiari I malformations and performing simple shunt-related procedures, although they felt that these credentials should be required only for treating complex craniosynostosis. CONCLUSIONS: The nature of PNS is the most significant barrier to attracting residents, although reimbursement, cross-coverage, and legal issues are also important to residents. The authors provide several recommendations that might enhance resident perceptions of PNS and attract trainees to the specialty.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.014
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.015
Threshold uncertainty score0.994

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.014
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.003
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.044
GPT teacher head0.271
Teacher spread0.227 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations18
Published2013
Admission routes1
Has abstractyes

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