Is there a Perceived Shortage of Anatomy Educators? An International Study
Notice bibliographique
Résumé
Purpose In 2002, a widely publicized report projected an anatomy educator shortage based on the perceptions of department chairpersons. Now, 16 years later, with the number of medical and health professions programs higher than ever, does a perceived shortage of anatomy educators (AEs) continue to persist? If there is a shortage, how severe is it and is it a global phenomenon? Methods This study replicated and expanded upon the previously published 2002 report. Two surveys were internationally distributed to 1) departmental leaders and 2) trainees (i.e., graduate students and postdoctoral fellows) within anatomy‐related departments. Trends in the number and type of AE job openings were also explored by analyzing job postings within the US over the past 2 years. Descriptive statistics were used to evaluate perceptions, historic trends, and future projections. Results The majority (51% or more) of departmental leaders who responded from the US/Canada (n=81), the European Union (n=52), and ‘other countries’ (n=26) anticipate they will have ‘moderate’ to ‘great’ difficulty hiring AEs in each of the four classic anatomy disciplines over the next five years. Within the US alone, the number of AE job postings for allopathic and osteopathic medical schools has increased from a minimum of 17 postings in 2017 to 25 postings (and counting) in 2018. While the number of open AE positions within the US/Canada and ‘other countries' is perceived to remain in a steady state over the next 5 years, the European Union estimates a 5 fold increase in the number of openings. Departmental leaders prioritize AE applicants who have teaching experience (90%), the ability to teach multiple anatomy disciplines (72%), and the knowledge/experience of employing different teaching pedagogies (65%). Through the eyes of most (67.2%) trainees, the current job market is perceived to be highly competitive. Conclusions Based on the perceptions of international departmental leaders and trends in documented job postings, the job vacancy gap for AEs continues to widen with the European Union projecting the greatest need for AEs over the next 5 years. Trainees' perceptions that the job market for AEs is competitive might be explained by a mismatch in how AEs are trained and the types of applicants departmental leaders are seeking. Support or Funding Information AAA This abstract is from the Experimental Biology 2019 Meeting. There is no full text article associated with this abstract published in The FASEB Journal .
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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 | 0,000 | 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) | 0,002 | 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 ».