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Record W4381386839 · doi:10.1017/s1049023x2300345x

Foot Injuries at Music Festivals–One of the Most Common Presentations to On-site Medical Services

2023· article· en· W4381386839 on OpenAlexaffabout
Matthew Brendan Munn, Page Hanrahan, Silvina C. Mema

Bibliographic record

VenuePrehospital and Disaster Medicine · 2023
Typearticle
Languageen
FieldMedicine
TopicTravel-related health issues
Canadian institutionsInterior HealthAlberta Health ServicesUniversity of British Columbia
Fundersnot available
KeywordsMedicineFoot (prosody)Presentation (obstetrics)Emergency departmentAnkleMedical emergencySurgeryNursing

Abstract

fetched live from OpenAlex

Introduction: Foot injuries are a common patient presentation at music festivals, and are resource-intensive patient encounters by virtue of their comparative volume. There are no published accounts devoted to these ubiquitous, typical, predictable festival injuries leading to presentation to on-site medical services for treatment. Method: A retrospective chart review was performed of visits to medical services for first aid or medical care involving feet at a multi-day music festival in Canada. Data extracted included demographics, injury characteristics, and type of footwear. Encounters were classified as initial or repeat visits, and repeat visits were assessed for having had previous dressings applied. Results: Over the five day festival period, foot care visits accounted for 416 of 1129 (37%) patient presentations for minor care. Most common injuries were blisters (51%), ankle sprains (10%), lacerations (8%), abrasions (6%), and bug bites (6%). Footwear was reported as shoes (28%), shoes and socks (28%), flip-flops (19%), sandals (28%) and bare feet only (5%). The most common blister sites were toes (48%) and the posterior heel (17%). 12% of cases were repeat visits, and 50% of repeat visits were for dressings failure. Conclusion: Foot injuries make up a significant portion of presentations, and often re-presentations, to medical services at music festivals. Preparation for these common injuries should include (1) a dedicated and purposeful bandage selection and supply, (2) provider training in best foot care practices, including bombproof, danceable dressings, and (3) educational resources to inform attendees of risks and provide preventative upstream measures that might allow them to avoid injury.

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)0.000
metaresearch head score (Gemma)0.000
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 score0.147
Threshold uncertainty score0.462

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.029
GPT teacher head0.324
Teacher spread0.295 · 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

Citations1
Published2023
Admission routes2
Has abstractyes

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