Physician assistant/associate career flexibility: factors associated with specialty transitions
Notice bibliographique
Résumé
BACKGROUND: Physician assistants/associates (PAs), due to their broad medical education and certification, have the flexibility to change specialties throughout their careers. Prior studies suggest that between half and three-quarters exercise this option at some point in their career, and a third do so within the first decade. However, more research is needed to understand the factors associated with PAs changing vs. remaining in the same specialty throughout their professional journey. METHODS: A cross-sectional analysis using a 2023 national dataset was conducted to examine specialty transitions throughout PAs' careers. We analyzed responses (N = 121,947 [81.3% response rate]) to a question asking how many times PAs changed specialties throughout their careers. Our investigation included specialty changes overall and separately within career-stage subgroups. We also explored demographics and practice attributes associated with specialty change patterns. RESULTS: Most PAs change specialties at least once during their careers, with some making this transition as many as six or more times. The highest proportion of change occurs in the first, followed by the second decade of practice. In the first 10 years, 40.3% of PAs changed specialties. In multivariate analysis, duration of practice was the strongest factor associated with increased odds of transitioning. PAs practicing for 31 or more years had over four-fold higher odds of changing specialties than PAs practicing for 10 or fewer years. Other factors strongly linked to specialty changes included working in critical care medicine or psychiatry, holding two or more clinical positions, practicing in urgent care, being an independent contractor, female gender, serving in the military, and possessing a doctorate. The pattern of significant PA characteristics linked with specialty changes was largely consistent when comparing the overall cross-sectional analysis with separate subgroups of PAs within different career stages. CONCLUSION: PAs exhibit a high degree of career flexibility when it comes to changing specialties. Our research demonstrates that by the late-career stage, three-fourths of PAs have transitioned between at least two disciplines; however, most changes occurred in the first decade of practice. This study further substantiates the PA profession's attributes, highlighting its unique characteristics, such as its adaptability and capacity for career flexibility.
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 | 0,002 | 0,017 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,004 | 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 ».