Traumatic Ankle Injuries in the Emergency Department: Evaluating the Adequacy of Clinical Documentation With Reference to the Ottawa Ankle Rules
Notice bibliographique
Résumé
Introduction Ankle trauma is a frequent presentation to the emergency department (ED) and poses a significant demand on radiology services. Efficient triage is essential to identify patients requiring urgent imaging, optimising resources, reducing waiting times, and minimising unnecessary radiation exposure. Injuries range from soft tissue damage to fractures of the distal tibia, fibula, or malleoli. Not all ankle injuries require immediate imaging, and clinical decision-making tools can guide the use of radiographs. The Ottawa Ankle Rules (OAR) are a validated tool, endorsed by the Royal College of Radiologists (RCR), designed to identify ankle injuries requiring radiographs. Imaging is indicated if the patient is unable to bear weight both immediately after injury and during examination, or if there is bone tenderness along the distal six centimetres of the posterior edge of the tibia or fibula, or over the lateral or medial malleoli. Adherence to the OAR has been shown to reduce unnecessary imaging while maintaining high sensitivity for fractures. Methods A two-cycle retrospective review was conducted of patients presenting with traumatic ankle injuries who underwent radiography. Records were reviewed via the Picture Archiving and Communication System (PACS) until 100 patients per cycle were included. Data collected included whether the OAR were referenced in radiograph requests and whether a fracture was diagnosed. After the first cycle, educational interventions were implemented to increase guideline awareness. The second cycle evaluated the impact of these interventions. Statistical analysis assessed the significance of observed changes. Exclusions included patients aged ≤16 years or ≥55 years, those with non-traumatic or chronic ankle presentations, and those with polytrauma or high-energy mechanisms of injury. Results were compared against RCR standards, which state that 100% of all ankle plain-film requests for trauma should reference the OAR. Results were presented at departmental governance meetings, and recommendations were subsequently implemented. Results In the first cycle, 37 (37%) of radiograph requests referenced the OAR. Fractures were identified in 21 (21%) patients, with 13 (61.9%) of these requests documenting the OAR and 8 (38.1%) omitting them. Following educational interventions, the second cycle demonstrated significant improvement, with 51 (51%) of requests referencing the OAR (P = 0.046). The proportion of patients with fractures increased to 31 (31%), of whom 26 (83.9%) had OAR documented, compared with 5 (16.1%) without documentation (P < 0.001). These findings reinforce that adherence to the OAR improves fracture detection, reduces unnecessary imaging, and remains a sensitive tool for ankle trauma assessment. Conclusion This quality improvement project demonstrates that focused interventions, particularly clinician education and guideline awareness, can enhance adherence to the OAR. Increased documentation and use of the OAR were associated with a higher diagnostic yield for fractures, improved triage, and a potential reduction in unnecessary imaging. Although full compliance was not achieved, incremental improvements contribute to patient safety and alignment with national recommendations. Future strategies may include regular departmental teaching sessions and system-based interventions such as electronic prompts to sustain compliance.
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 | 0,013 | 0,054 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,004 | 0,004 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,001 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 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 ».