The economic burden of athletic injuries across 10 years of Canada Games
Notice bibliographique
Résumé
Injuries in elite sports are responsible for a substantial economic burden on host organizations, requiring informed decisions to ensure that injury treatment is delivered in an efficient manner. However, there is a paucity of economic assessments that have been conducted surrounding elite sport injury events in Canada. Objective: To estimate the direct medical and opportunity costs of treating various injuries by volunteer medical professionals at the Canada Games (CG). Method: A decision tree model (DTM) incorporated parameters on injury treatment lengths as estimated from a Delphi survey, injury surveillance data from past CG competitions (2009-2019), institutional spending derived from the Athlete Medical Program, and fee-for-service rates for medical professionals derived from government reports. Expected costs were calculated using probabilities from logistic regression analyses and reported in Canadian Dollars as of 2023. A one-way deterministic sensitivity analysis was undertaken which varied annual spending by ±10%. Results: There were 15,717 injury events reported during initial and follow-up visits at on-site polyclinics between the 2009 and 2019 CG events (6 competitions). Median estimated treatment lengths during initial visits were highest for patellofemoral pain syndromes (30.0 [IQR = 15.0-33.5] minutes) and were highest during follow-up visits for impingement injuries (25.0 [IQR = 14.0-30.0] minutes). Knee, ankle, lumbar, shoulder/clavicle, and thigh injuries, had a cumulative average expected medical cost of about $103, $113, $383, $417, and $172, respectively, per event. After having incurred a knee injury, the average opportunity cost of being treated by a physician, a combination of athletic therapist/physiotherapist, or a combination of massage therapist/chiropractor, were $17, $184, and $35, respectively. 72% of athletes treated by a physician were referred for follow-up care. Overall, the total expected medical and opportunity cost of athletic injuries in CG per year were $156,620 and $378,574, respectively. Conclusion: This thesis reports on estimated medical and opportunity costs associated with treating various athletic injuries at on-site polyclinics at CG. Findings from our study can inform decision-making in medical management to support treatment protocol reform, while also informing economic evaluations of future CG or other elite sport competitions. More research is needed to estimate the broader health system and out-of-pocket costs of athletic injuries at elite sporting events beyond on-site polyclinics.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,002 | 0,011 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,001 | 0,002 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,002 | 0,001 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,003 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».