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Record W4283210892 · doi:10.4085/1062-6050-0097.22

Concussion Assessment and Management Practices Among Irish and Canadian Athletic Therapists: An International Perspective

2022· article· en· W4283210892 on OpenAlexaffabout
Landon B. Lempke, Glen Bergeron, Siobhán O’Connor, Robert C. Lynall, Jacob E. Resch, Samuel R. Walton

Bibliographic record

VenueJournal of Athletic Training · 2022
Typearticle
Languageen
FieldMedicine
TopicTraumatic Brain Injury Research
Canadian institutionsUniversity of Winnipeg
Fundersnot available
KeywordsConcussionContext (archaeology)IrishMedicinePhysical therapyDescriptive statisticsAthletesInjury preventionPoison controlFamily medicineEmergency medicine

Abstract

fetched live from OpenAlex

CONTEXT: Certified athletic therapists in Ireland and Canada serve essential concussion assessment and management roles, but their health care practices and concussion knowledge have not been established. OBJECTIVE: To examine Irish and Canadian athletic therapist cohorts' (1) concussion knowledge, (2) current concussion assessment and management techniques across all job settings, and (3) the association of concussion assessment and management practices with years of clinical experience and highest degree attained. DESIGN: Cross-sectional cohort study. SETTING: Online survey. PATIENTS OR OTHER PARTICIPANTS: Licensed Irish (49.7%, n = 91/183) and Canadian (10.1%, n = 211/2090) athletic therapists. MAIN OUTCOME MEASURE(S): Athletic therapists completed an online survey assessing their demographics, concussion knowledge (symptom recognition, patient-clinician scenarios), frequency of concussions assessed annually, and assessment and return-to-play (RTP) measures using a modified, previously validated survey. Symptom recognition consisted of 20 (8 true, 12 false) items on recognition of signs and symptoms that were scored as total correct. Descriptive statistics and odds ratios were used to examine survey responses where appropriate. RESULTS: Irish (86.8%, n = 46/53) and Canadian (93.4%, n = 155/166) athletic therapists indicated RTP guidelines were the most common method for determining RTP. Symptom recognition scores were 72.8% ± 17.0% among Irish and 76.6% ± 17.0% among Canadian athletic therapists. Irish (91.2%, n = 52/57) and Canadian (90.4%, n = 161/178) athletic therapists reported standardized sideline assessments as the most used concussion assessment method. Irish and Canadian athletic therapists' use of 2-domain (Irish: 38.6% [n = 22/57]; Canadian: 73.6% [n = 131/178]) and 3-domain (Irish: 3.5% [n = 2/57]; Canadian: 19.7% [n = 35/178]) minimum assessments (ie, symptoms, balance, or neurocognitive) was not associated with education or clinical experience (P ≥ .07), except for Canadian athletic therapists with master's degrees having greater odds of completing 2-domain assessments at initial evaluation than those with bachelor's degrees (odds ratio = 1.80; 95% CI = 1.41, 1.95). CONCLUSIONS: Irish and Canadian athletic therapists demonstrated similar concussion knowledge; however, most did not fully adhere to international consensus guidelines for concussion assessment as evidenced by low 2- and 3-domain assessment use. Athletic therapists should aim to implement multidimensional concussion assessments to ensure optimal health care practices and patient safety.

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)0.002
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 score0.455
Threshold uncertainty score0.544

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
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 integrity0.0000.001
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 head0.106
GPT teacher head0.420
Teacher spread0.313 · 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

Citations15
Published2022
Admission routes2
Has abstractyes

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