Gross Anatomy Dissection Improves Exam Scores Amongst Medical and Allied Health Students
Notice bibliographique
Résumé
Introduction Student dissections are fundamental to gross anatomy. However, as medical curricula are revised and basic science disciplines integrated within the preclinical years, time allocated to teaching gross anatomy has been reduced. Having students alternate dissections is one approach to address these limitations. Purpose & Hypotheses The purpose of this study was to evaluate the effect that alternating dissections has on the academic performance of medical and allied health students taking gross anatomy. We hypothesized that students who participate in a particular dissection will perform better on questions that correlate to their dissection on both written and laboratory practical examinations compared to students who did not take part the dissection. We also hypothesized that lower performing students will benefit more from actively dissecting than higher performing students. Methods At the Medical College of Georgia, medical students take gross anatomy as part of an integrated systems‐based curriculum that spans the first year. Allied health students (physical therapy, occupational therapy, and physician assistant programs) take gross anatomy as a 9‐week course in the summer. In this study we compared written and laboratory exam performance of medical students (n=384 from 2013–2014 & 2014–2015) and allied health students (n=253 from 2014 & 2015) who dissected specific labs with those who did not, on the material related to the specific dissection. A repeated measures ANOVA was used to determine if dissection roles affected exam scores. To determine if low performing students would benefit more from dissecting than higher performing students, the class was divided into high and low performers based on median overall practical and written grades. The results were assessed using an ANCOVA. Results Our results for allied health showed that overall dissectors performed better than nondissectors on the lab exam. (80.6% vs. 79.0%; p<0.05). However, dissecting did not affect their performance on written exam questions (84.05% vs. 83.5%). Low performing students tested significantly better on both written and lab exams when they dissected compared to when they did not (lab: 74.4% vs. 72.5%; written: 78.5% vs. 77.2%; p<0.05); high performing students performed similarly, regardless of whether they dissected (89.3% vs 89.4%). Furthermore, medical students performed better on both lab and written exams related to content that they dissected (lab: 84.25% vs. 81.8%; written: 81.15% vs. 79.8%; p<0.001). Both high and low performing medical students benefitted from dissection, scoring significantly better on content they dissected on the lab exam (high: 88.8% vs. 86.7%; low: 79.45% vs. 76.7%; p<0.0001). In addition, low performing students also did better on written exam questions covering the content that they dissected (75.3% vs. 72.9%; p<0.0001). Conclusions Participation in dissection may give low performing students the opportunity to learn from their peers and professors during dissection time resulting in an increased lab and written performance on questions related to the dissection material. These students may also benefit from structured time in the lab as opposed to reviewing the lecture on their own. The academic improvement due to dissection validates the importance of gross anatomy dissection in the health care professional curriculum.
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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 | 0,001 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| 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 | 0,000 |
| 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.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».