MétaCan
Menu
Back to cohort
Record W3176510083 · doi:10.1111/head.14134

The current state of headache medicine education in the United States and Canada: An observational, survey‐based study of neurology clerkship directors and curriculum deans

2021· article· en· W3176510083 on OpenAlexaffabout
Anna Pace, Serena L. Orr, Noah Rosen, Joseph E. Safdieh, Gabriela Bosmenier Cruz, Adam Sprouse‐Blum

Bibliographic record

VenueHeadache The Journal of Head and Face Pain · 2021
Typearticle
Languageen
FieldMedicine
TopicMigraine and Headache Studies
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsCurriculumDirectoryFamily medicineMedicineOsteopathic medicine in the United StatesSession (web analytics)PhoneNeurologyMedical educationGraduate medical educationAlternative medicinePsychologyPsychiatry

Abstract

fetched live from OpenAlex

OBJECTIVE: To investigate the current headache medicine education paradigm in allopathic and osteopathic medical schools in the United States and Canada. BACKGROUND: There is a disparity in the number of clinicians specially trained to treat patients with headache disorders and the number of people who have them. Early education and exposure to headache medicine is crucial to address this disparity. However, the current state of headache education within medical schools across the United States and Canada is unknown. METHODS: The authors created a medical student headache education survey, which is a 20-question REDCap survey that was distributed via email to the neurology clerkship director, curriculum dean, or similar role at each US and Canadian MD or DO conferring medical school. The email listserv was created using the American Academy of Neurology Clerkship Directory, the Association of American Medical Colleges Organization Directory, the American Association of College of Osteopathic Medicine Organization Directory, manual searches of the institutions' websites, and phone calls and emails to administrators as needed. RESULTS: Of the 249 individuals contacted, 78 completed the survey, yielding a response rate of 31.3%. Of those responses, 84.6% of respondents (66/78) reported that their institution has at least one mandatory session on headache disorders. Many of these sessions (72.7% (48/78)) occurred during preclinical training, and 74.2% (49/78) occurred as part of the clinical curricula. Of respondents, 44.9% (39/78) reported that their institutions coordinate headache education across training levels (i.e., from preclinical to clinical), and only 17.9% (14/78) coordinate across clinical rotations. The most common topics covered were headache red flags, migraine, pharmacologic management, and differentiating primary versus secondary headache. 65.4% of respondents (51/78) felt that the preclinical headache curriculum prepares their students for the clinical experience, and 55.1% (43/78) felt that medical students were learning enough about headache medicine at their institution. Barriers to educating medical students about headache included insufficient time during courses, lack of administrative support in curricula development, lack of available resources, and lack of student interest. Case-based learning modules and online lectures were the most desired educational materials to improve medical student headache education at their institution. CONCLUSIONS: The majority of medical schools report incorporating headache medicine education into preclinical or clinical curricula and cover a range of topics in headache medicine. Yet there remains a lack of consistency, with some reporting limited headache education, citing barriers such as lack of administrative support and available educational resources. There is also variation in what is being taught at the medical student level. Future projects should aim to address said barriers, with the goal of providing a standardized headache medicine curriculum for use across medical schools.

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)0.006
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.563
Threshold uncertainty score0.760

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.084
GPT teacher head0.355
Teacher spread0.272 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations25
Published2021
Admission routes2
Has abstractyes

Explore more

Same venueHeadache The Journal of Head and Face PainSame topicMigraine and Headache StudiesFrench-language works237,207