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SHARE’s Impact on Medical Students Interested in Global Plastic Surgery

2024· article· en· W4406359059 on OpenAlexaboutno aff
Noelle Thompson, Kathleen Johnson, Dominic Alessio-Bilowus, Jessica D. Blum, Raj M. Vyas, Christine H. Rohde, Joyce K. McIntyre, Amanda A. Gosman, Andrea L. Pusic

Bibliographic record

VenuePlastic & Reconstructive Surgery Global Open · 2024
Typearticle
Languageen
FieldMedicine
TopicGlobal Health and Surgery
Canadian institutionsnot available
Fundersnot available
KeywordsMedical educationPlastic surgeryPsychologyMedicineGeneral surgerySurgery

Abstract

fetched live from OpenAlex

BACKGROUND: Surgeons in Humanitarian Alliance for Reconstruction, Research and Education (SHARE) is an innovative program from the Plastic Surgery Foundation designed to address global disparities in plastic surgery. SHARE uniquely provides medical students opportunities to learn about plastic surgery from a global surgery and cultural humility perspective. To refine our curriculum, we developed a survey to investigate current global and plastic surgery education among medical students who participate in SHARE and their attitudes toward SHARE’s current medical student engagement opportunities. METHODS: A cross-sectional survey was designed to assess barriers to involvement in plastic surgery and global surgery, motivations for joining SHARE, SHARE’s impact in alleviating barriers to involvement in plastic surgery and global surgery, and whether medical students’ involvement in SHARE affected interest in pursuing a plastic surgery or global surgery career. The survey was distributed via listserv to medical students involved in SHARE as of February 2024. RESULTS: Thirty-seven out of 79 medical students completed the survey (47%). Forty-nine percent were between the ages of 26-30 years old and 49% were first-generation immigrants to the United States or Canada or were a member of a first-generation family. Racial and ethnic composition included: 32% White/Caucasian, 29% Asian/Asian American, 25% Black/African American, 11% Middle-Eastern/North African, and 4% preferred not to say. While most participants (81%) were interested in pursuing plastic surgery residency, 61% attended a medical school without an integrated plastic surgery program and 31% had never had an opportunity to discuss plastic surgery cases in any setting prior to joining SHARE. Among participants who had any previous global health involvement, only 44% of these global health opportunities focused on global surgery specifically. Primary motivations for participating in SHARE were to network with plastic surgeons, learn about the experience of surgeons outside of North America, and to learn more about global surgery. The activities that medical students participated in within SHARE that enabled exposure and involvement in global plastic surgery included: clinical assemblies (36%), small groups (27%), panel at Plastic Surgery the Meeting 2023 (23%), and serving on a subcommittee (14%). The majority of participants (57%) were more interested in plastic surgery after being involved with SHARE (p < 0.001). Ninety-three percent of participants stated that their interest in incorporating global surgery into their career was moderately or greatly increased after participating in SHARE, compared to 7% unchanged and 0% decreased (p < 0.001). CONCLUSION: Our study highlights the critical role that SHARE plays in alleviating barriers medical students face regarding plastic surgery exposure and global surgery education. These results will be used to target opportunities to further optimize medical students’ role in the SHARE program.

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)0.003
metaresearch head score (Gemma)0.014
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.063
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.014
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.034
GPT teacher head0.373
Teacher spread0.339 · 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; both teacher heads agree on what is shown here.

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

Citations0
Published2024
Admission routes1
Has abstractyes

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