006 Tuning fork testing on ankle injuries: does it improve the accuracy of the Ottawa ankle rules?
Notice bibliographique
Résumé
Objectives and Backgrounds Ankle injuries account for 8% of all minor injuries attending EDs in the UK. The Ottawa ankle rules (OARs) were introduced to assess the need for x-ray in the 1990s (Stiell et al 1992). Although they are said to have reduced the number of ankle x-rays requested many unnecessary ankle x-rays are still taken, and although the sensitivity of the OARs 95–100% the specificity is consistently low. A vibrating tuning fork has been shown to increase the specificity of the OARs while maintaining the high sensitivity on a pilot study on simple twisting ankle injuries and resulted in a 66% reduction in the number of ankle x-rays requested (Dissman and Han 2006). However, this study had a strict inclusion criteria and the tuning fork test was carried out by a single-operator, reducing the generalisability of the results. This study aims to assess whether the tuning fork test can increase the diagnostic accuracy of the OARs when used on twisting ankle injuries by multiple operators in multiple emergency care settings. Methods A two part multi-site study was undertaken across three EDs in within Hampshire UK. The first part of the study consisted of a diagnostic test using the tuning fork test on patients already known to be OARs positive and therefore due to receive an x-ray of their ankle. Patients were invited to take part if they were aged 12 years or over and had injured their ankle as a result of a simple twisting mechanism. Patients were excluded if there was obvious deformity to the ankle. After assessing for bony tenderness a vibrating tuning fork was placed at the site of maximal tenderness and 6 cm proximal to this site. In order to form a control group the patient's uninjured ankle was also assessed with the tuning fork. Patient's were randomised as to which ankle was assessed with the tuning fork first. The results of the tuning fork test and the x-ray (which was interpreted blind of the tuning fork test) were compared and the number of times they agreed and disagreed recorded. The second part of the test included a series of focus groups where participants and clinicians involved in the study were asked about their views on the use of the tuning fork test in clinical practice. Data were analysed using thematic analysis. A total of 1300 participants were required in order to detect a specificity of 95% (±3%) with a 95% CI where the injury under test had a prevalence in the population of 15%. The study was funded by the CCF Research for Patient Benefit scheme, and sponsored by the Portsmouth Hospitals NHS Trust. Southampton and SW Hampshire (A) ethics committee approved the study. Results Patients have been recruited into the study since June 2009. Part 1 of the study is still in progress, but as of 21st April 2011 a total of 1245 participants have been recruited. The data has not yet been analysed but this is expected to take place during June 2011. The Data collection phase of part 2 of the study is complete and although full analysis of the data is yet to take place provisional analysis of the qualitative data using thematic analysis identifies that patients accept the use of the tuning fork test. Patients stated they were intrigued when the use of the tuning fork was first discussed with them. Patients also rated spending less time in the ED as more important than receiving an x-ray, which is in contrast to the clinicians who claimed that the majority of patients expect an x-ray for their ankle injury. As well as reducing exposure to radiation saving the NHS money by reducing unnecessary x-rays was one of the main advantages raised by patients. Conclusions The results of the study are yet to be fully analysed. However it is anticipated that the tuning fork test will improve the diagnostic accuracy of the OARs when used on simple twisting ankle injuries. The tuning fork test is quick and easy to learn and initial analysis of the qualitative data reveals that it's use would be accepted by patients and clinicians alike. This presentation outlines independent research commissioned by the National Institute for Health Research (NIHR) under its RfPB Programme (Grant Reference PB-PG-1207-15022).
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 distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,004 | 0,054 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,014 | 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 tête enseignante, 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 ».