The Value of Live Tissue Training for Combat Casualty Care: A Survey of Canadian Combat Medics With Battlefield Experience in Afghanistan
Notice bibliographique
Résumé
INTRODUCTION: The optimum method for training military personnel for combat casualty care is unknown. In particular, there is debate regarding the incremental benefit of live animal tissue training (LTT) over inanimate human patient simulators (HPSs). Although both LTT and HPS are currently used for predeployment training, the efficacy of these models has not been established. MATERIALS AND METHODS: Canadian Armed Forces combat medics, deployed to Afghanistan between 2006 and 2011, were surveyed retrospectively regarding their experience with combat casualty care and predeployment training. HPSs were used to prepare these combat medics for early rotations. In later years, personnel received a combination of training modalities including HPS and LTT, using anaesthetized porcine models in accordance with appropriate animal care standards. Among those deployed on multiple rotations, there was a cohort who was prepared for deployment using only HPS training, and who later were prepared using mixed-modality training, which included LTT. We asked these medics to compare their predeployment training using HPS only versus their mixed-modality training in how each training package prepared them for battlefield trauma care. RESULTS: Thirty-eight individuals responded, with 20 respondents deployed on multiple rotations. Respondents performed life-saving skills during 89% of the rotations. Self-perceived competence and preparedness were notably higher after incorporation of LTT than after HPS alone. Of 17 respondents deployed on both early and late rotations, the majority felt the latter training was more worthwhile. In addition, almost all individuals felt that LTT should be added to HPS training. Narrative comments described multiple benefits of adding LTT to other types of training. CONCLUSIONS: Among many experienced Canadian Armed Forces personnel, LTT is considered essential predeployment preparation. Individuals who experienced only HPS training before active duty on their first combat deployment reported feeling more competent on subsequent combat deployments after the addition of live tissue models. IMPACT: There has been a movement away from the use of LTT in preparing combat medics for deployment. This article suggests that we should reconsider any decision to completely exclude Live Tissue Training as part of our training plan for combat medics. RECOMMENDATIONS: Military medical organizations should consider judiciously incorporating LTT with human patient simulation training to prepare combat medics for treating battlefield trauma.
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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 | 0,001 | 0,004 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,001 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 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.
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